WorldWideScience

Sample records for real-time business intelligence

  1. Real-Time Business Intelligence for the Utilities Industry

    Directory of Open Access Journals (Sweden)

    Janina POPEANGA

    2012-12-01

    Full Text Available In today’s competitive environment with rapid innovation in smart metering and smart grids, there is an increased need for real-time business intelligence (RTBI in the utilities industry. Giving the fact that this industry is an environment where decisions are time sensitive, RTBI solutions will help utilities improve customer experiences and operational efficiencies. The focus of this paper is on the importance of real-time business intelligence (RTBI in the utilities industry, outlining our vision of real-time business intelligence for this industry. Besides the analysis in this area, the article presents as a case study the Oracle Business Intelligence solution for utilities.

  2. Operational and real-time Business Intelligence

    Directory of Open Access Journals (Sweden)

    Daniela Ioana SANDU

    2008-01-01

    Full Text Available A key component of a company’s IT framework is a business intelligence (BI system. BI enables business users to report on, analyze and optimize business operations to reduce costs and increase revenues. Organizations use BI for strategic and tactical decision making where the decision-making cycle may span a time period of several weeks (e.g., campaign management or months (e.g., improving customer satisfaction.Competitive pressures coming from a very dynamic business environment are forcing companies to react faster to changing business conditions and customer requirements. As a result, there is now a need to use BI to help drive and optimize business operations on a daily basis, and, in some cases, even for intraday decision making. This type of BI is usually called operational business intelligence and real-time business intelligence.

  3. Real-Time Business Intelligence in the MIRABEL Smart Grid System

    DEFF Research Database (Denmark)

    Fischer, Ulrike; Kaulakiene, Dalia; Khalefa, Mohamed

    2012-01-01

    of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intelligence challenges. This paper discusses these challenges and presents data management solutions in the European smart grid project MIRABEL. These solutions......) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system....

  4. Business Intelligence using Software Agents

    Directory of Open Access Journals (Sweden)

    Ana-Ramona BOLOGA

    2011-12-01

    Full Text Available This paper presents some ideas about business intelligence today and the importance of developing real time business solutions. The authors make an exploration of links between business intelligence and artificial intelligence and focuses specifically on the implementation of software agents-based systems in business intelligence. There are briefly presented some of the few solutions proposed so far that use software agents properties for the benefit of business intelligence. The authors then propose some basic ideas for developing real-time agent-based software system for business intelligence in supply chain management, using Case Base Reasoning Agents.

  5. Business Intelligence using Software Agents

    OpenAIRE

    Ana-Ramona BOLOGA; Razvan BOLOGA

    2011-01-01

    This paper presents some ideas about business intelligence today and the importance of developing real time business solutions. The authors make an exploration of links between business intelligence and artificial intelligence and focuses specifically on the implementation of software agents-based systems in business intelligence. There are briefly presented some of the few solutions proposed so far that use software agents properties for the benefit of business intelligence. The authors then...

  6. Business Intelligence Integrated Solutions

    Directory of Open Access Journals (Sweden)

    Cristescu Marian Pompiliu

    2017-12-01

    Full Text Available A Business Intelligence solution concerns the simple, real-time access to complete information about the business shown in a relevant format of the report, graphic or dashboard type in order help the taking of strategic decisions regarding the direction in which the company goes. Business Intelligence does not produce data, but uses the data produced by the company’s applications. BI solutions extract their data from ERP (Enterprise Resource Planning, CRM (Customer Relationship Management, HCM (Human Capital Management, and Retail, eCommerce or other databases used in the company.

  7. The Predictive Aspect of Business Process Intelligence

    DEFF Research Database (Denmark)

    Pérez, Moisés Lima; Møller, Charles

    2007-01-01

    This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potential for leveraging enterprise benefits by supporting real-time processes. However, based on the experiences from past...... business intelligence projects the paper argues that it is necessary to establish a new methodology to mine and extract the intelligence on the business level which is different from that, which will improve a business process in an enterprise. In conclusion the paper proposes a new research project aimed...

  8. The Synthesis of Intelligent Real-Time Systems

    Science.gov (United States)

    1990-11-09

    Synthesis of Intelligent Real - Time Systems . The purpose of the effort was to develop and extend theories and techniques that facilitate the design and...implementation of intelligent real - time systems . In particular, Teleos has extended situated-automata theory to apply to situations in which the system has

  9. Business Intelligence Systems

    Directory of Open Access Journals (Sweden)

    Bogdan NEDELCU

    2014-02-01

    Full Text Available The aim of this article is to show the importance of business intelligence and its growing influence. It also shows when the concept of business intelligence was used for the first time and how it evolved over time. The paper discusses the utility of a business intelligence system in any organization and its contribution to daily activities. Furthermore, we highlight the role and the objectives of business intelligence systems inside an organization and the needs to grow the incomes and reduce the costs, to manage the complexity of the business environment and to cut IT costs so that the organization survives in the current competitive climate. The article contains information about architectural principles of a business intelligence system and how such a system can be achieved.

  10. De toekomst van Real Time Intelligence

    NARCIS (Netherlands)

    Broek, J. van den; Berg, C.H. van den

    2013-01-01

    Al direct vanaf de start van de Nationale Politie is gewerkt aan het opzetten van tien real-time intelligence centra in Nederland. Van daaruit worden 24 uur per dag en zeven dagen in de week agenten op straat actief ondersteund met real-time informatie bij de melding waar ze op af gaan. In de visie

  11. Real-time operations intelligence from the user perspective

    Energy Technology Data Exchange (ETDEWEB)

    Kharbat, Fayez [Saudi Aramco, Dhahran (Saudi Arabia)

    2004-07-01

    Running a refinery or a chemical plant is a complex business. Planning and scheduling, process control and maintenance require dedicated, multifaceted solutions necessitating highly trained and experienced users. The inevitable system and user specialization results in the proliferation of disparate data sources, incoherent information, inconsistent decisions and the failure to realize corporate objectives - until today. IndX Software Corporation is the de facto market-leading provider of operations intelligence solutions. IndX's XHQ{sup TM} Real-time Operations Intelligence solutions have been selected by many of the world's major corporations in their quest for Operational Excellence and IndX is currently engaged in more than 50 maximizedROI{sup TM} deployments around the world. This paper describes the thinking and technology behind XHQ and the implementation methodology typically employed in deploying an XHQ solution enterprise-wide. This paper will also provide examples of the benefits that users have realized from their implementation of XHQ. (author)

  12. BUSINESS INTELLIGENCE

    OpenAIRE

    Bogdan Mohor Dumitrita

    2011-01-01

    The purpose of this work is to present business intelligence systems. These systems can be extremely complex and important in modern market competition. Its effectiveness also reflects in price, so we have to exlore their financial potential before investment. The systems have 20 years long history and during that time many of such tools have been developed, but they are rarely still in use. Business intelligence system consists of three main areas: Data Warehouse, ETL tools and tools f...

  13. Unmanned air vehicles - real time intelligence without the risk

    OpenAIRE

    Miller, James Bryan.

    1988-01-01

    Unmanned Air Vehicles (UAVs) are capable of supporting the officer in tactical command (OTC) by gathering intelligence in real- or near real-time. UAVs now under development will be able to collect high-resolution imagery, and thus provide the OTC with the option of gathering tactical intelligence without using manned reconnaissance platforms. This thesis asserts that UAVs should be used to supplement existing intelligence sensors, particularly in those cases where current sources are too amb...

  14. Semantic Business Intelligence - a New Generation of Business Intelligence

    Directory of Open Access Journals (Sweden)

    Dinu AIRINEI

    2012-01-01

    Full Text Available Business Intelligence Solutions represents applications used by companies to manage process and analyze data to provide substantiated decision. In the context of Semantic Web develop-ment trend is to integrate semantic unstructured data, making business intelligence solutions to be redesigned in such a manner that can analyze, process and synthesize, in addition to traditional data and data integrated with semantic another form and structure. This invariably leads appearance of new BI solution, called Semantic Business Intelligence.

  15. Healthcare Industry Improvement with Business Intelligence

    Directory of Open Access Journals (Sweden)

    Mihaela-Laura IVAN

    2015-01-01

    Full Text Available The current paper highlights the advantages of big data analytics and business intelligence in the healthcare industry. In the paper are reviewed the Real-Time Healthcare Analytics Solutions for Preventative Medicine provided by SAP and the different ideas realized by possible customers for new applications in Healthcare industry in order to demonstrate that the healthcare system can and should benefit from the new opportunities provided by ITC in general and big data analytics in particular.

  16. Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

    Directory of Open Access Journals (Sweden)

    Dorel PARASCHIV

    2008-01-01

    Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.

  17. Conceptual Model of Business Value of Business Intelligence Systems

    OpenAIRE

    Popovič, Aleš; Turk, Tomaž; Jaklič, Jurij

    2010-01-01

    With advances in the business intelligence area, there is an increasing interest for the introduction of business intelligence systems into organizations. Although the opinion about business intelligence and its creation of business value is generally accepted, economic justification of investments into business intelligence systems is not always clear. Measuring the business value of business intelligence in practice is often not carried out due to the lack of measurement methods and resourc...

  18. Key Success Factors in Business Intelligence

    Directory of Open Access Journals (Sweden)

    Szymon Adamala

    2011-12-01

    Full Text Available Business Intelligence can bring critical capabilities to an organization, but the implementation of such capabilities is often plagued with problems. Why is it that certain projects fail, while others succeed? The aim of this article is to identify the factors that are present in successful Business Intelligence projects and to organize them into a framework of critical success factors. A survey was conducted during the spring of 2011 to collect primary data on Business Intelligence projects. Findings confirm that Business Intelligence projects are wrestling with both technological and non-technological problems, but the non-technological problems are found to be harder to solve as well as more time consuming than their counterparts. The study also shows that critical success factors for Business Intelligence projects are different from success factors for Information Systems projects in general. Business Intelligences projects have critical success factors that are unique to the subject matter. Major differences can be found primarily among non-technological factors, such as the presence of a specific business need and a clear vision to guide the project. Success depends on types of project funding, the business value provided by each iteration in the project and the alignment of the project to a strategic vision for Business Intelligence at large. Furthermore, the study provides a framework for critical success factors that, explains sixty-one percent of variability of success for projects. Areas which should be given special attention include making sure that the Business Intelligence solution is built with the end users in mind, that the Business Intelligence solution is closely tied to the company’s strategic vision and that the project is properly scoped and prioritized to concentrate on the best opportunities first.

  19. Report : business process intelligence challenge 2013

    NARCIS (Netherlands)

    Dongen, van B.F.; Weber, B.; Ferreira, D.R.; De Weerdt, J.; Lohmann, N.; Song, M.; Wohed, P.

    2014-01-01

    For the third time, the Business Process Intelligence workshop hosted the Business Process Intelligence Challenge. The goal of this challenge is twofold. On the one hand, the challenge allows researchers and practitioners in the field to show their analytical capabilities to a broader audience. On

  20. A New Dimension of Business Intelligence: Location-based Intelligence

    OpenAIRE

    Zeljko Panian

    2012-01-01

    Through the course of this paper we define Locationbased Intelligence (LBI) which is outgrowing from process of amalgamation of geolocation and Business Intelligence. Amalgamating geolocation with traditional Business Intelligence (BI) results in a new dimension of BI named Location-based Intelligence. LBI is defined as leveraging unified location information for business intelligence. Collectively, enterprises can transform location data into business intelligence applic...

  1. Traditional Enterprise Business Intelligence Software Compared to Software as a Service Business Intelligence

    Directory of Open Access Journals (Sweden)

    Marian Pompiliu CRISTESCU

    2016-01-01

    Full Text Available The focus of this paper is on the one hand on the importance of business intelligence in large and medium-sized businesses and on the other side on the evaluation and implementation of Business Intelligence. It shows how companies make better and faster decisions regarding their customers, partners and operations by converting data into valuable business information. The paper describes how to bring business intelligence information, people and technology together to help to create a successful business strategy. The conclusion of the paper is the assessment of the possibility of business intelligence to develop projects in large and medium-sized companies and the discussion of the possible alternatives with respect to the different functions.

  2. A conceptual framework for intelligent real-time information processing

    Science.gov (United States)

    Schudy, Robert

    1987-01-01

    By combining artificial intelligence concepts with the human information processing model of Rasmussen, a conceptual framework was developed for real time artificial intelligence systems which provides a foundation for system organization, control and validation. The approach is based on the description of system processing terms of an abstraction hierarchy of states of knowledge. The states of knowledge are organized along one dimension which corresponds to the extent to which the concepts are expressed in terms of the system inouts or in terms of the system response. Thus organized, the useful states form a generally triangular shape with the sensors and effectors forming the lower two vertices and the full evaluated set of courses of action the apex. Within the triangle boundaries are numerous processing paths which shortcut the detailed processing, by connecting incomplete levels of analysis to partially defined responses. Shortcuts at different levels of abstraction include reflexes, sensory motor control, rule based behavior, and satisficing. This approach was used in the design of a real time tactical decision aiding system, and in defining an intelligent aiding system for transport pilots.

  3. Pentaho Business Analytics: a Business Intelligence Open Source Alternative

    Directory of Open Access Journals (Sweden)

    Diana TÂRNĂVEANU

    2012-10-01

    Full Text Available Most organizations strive to obtain fast, interactive and insightful analytics in order to fundament the most effective and profitable decisions. They need to incorporate huge amounts of data in order to run analysis based on queries and reports with collaborative capabilities. The large variety of Business Intelligence solutions on the market makes it very difficult for organizations to select one and evaluate the impact of the selected solution to the organization. The need of a strategy to help organization chose the best solution for investment emerges. In the past, Business Intelligence (BI market was dominated by closed source and commercial tools, but in the last years open source solutions developed everywhere. An Open Source Business Intelligence solution can be an option due to time-sensitive, sprawling requirements and tightening budgets. This paper presents a practical solution implemented in a suite of Open Source Business Intelligence products called Pentaho Business Analytics, which provides data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities. The study conducted in this paper suggests that the open source phenomenon could become a valid alternative to commercial platforms within the BI context.

  4. Taking Business Intelligence to Business Education Curriculum: Graduate Students’ Concerns

    Directory of Open Access Journals (Sweden)

    Philip Kissi

    2017-06-01

    Full Text Available Business intelligence systems are widely employed in industries. However, students concerns about Business Intelligence course are largely missed in the business education curriculum. To take a proper decision on Business intelligence integration in business education, it is important to understand students’ concerns. This study employed a survey questionnaire to investigate 142 graduate students concerns about integrating business intelligence into business education curriculum. The survey questionnaire was adopted from previous studies to measure students’ concerns on a Business Intelligence job opportunity, interest and relevance in the Business intelligence education. The survey items have a reliability scales of Cronbach’s alpha (α = 0.818, factor loading > 0.5, and Average Variance Extracted (AVE ≥ 0.5, and Composite Reliability (CR ≥ 0.6. Descriptive statistics and Independent sample t-test and Analysis of Variance (ANOVA test were performed on the survey data. Students revealed that Business intelligence knowledge is relevant (mean = 4.29, SD = 0.710, has several job opportunities (mean = 4.16, SD = 0.675, and should be integrated into business education curriculum (mean = 3.95.08, SD = 0.79. In addition, there was no statistically significant difference (t (140 = –0.027, p > 0.05 between the concerns of students with Business Intelligence lecture experience and those without. Further, perceived importance and job opportunity significantly, F = 24.601 and p = .000(< .05 relates to the Business intelligence integration in Business Education. The findings draw implications for university management and business institutions in updating curriculum so as to equip business students with the essential Business Intelligence knowledge and skills for the betterment of the business organizations.

  5. Semantic Business Intelligence - a New Generation of Business Intelligence

    OpenAIRE

    Dinu AIRINEI; Dora-Anca BERTA

    2012-01-01

    Business Intelligence Solutions represents applications used by companies to manage process and analyze data to provide substantiated decision. In the context of Semantic Web develop-ment trend is to integrate semantic unstructured data, making business intelligence solutions to be redesigned in such a manner that can analyze, process and synthesize, in addition to traditional data and data integrated with semantic another form and structure. This invariably leads appearance of new BI solutio...

  6. Business Intelligence in College: A Teaching Case with Real Life Puzzles

    Science.gov (United States)

    Presthus, Wanda; Bygstad, Bendik

    2012-01-01

    Modern Business Intelligence (BI) is about the process of turning data into actionable information, using an assortment of tools, techniques, and applications. Although BI, or its predecessor Decision Support Systems (DSS), has been applied in the industry for about half a century, it has only recently been taught in business schools. In the…

  7. A framework for intelligent data acquisition and real-time database searching for shotgun proteomics.

    Science.gov (United States)

    Graumann, Johannes; Scheltema, Richard A; Zhang, Yong; Cox, Jürgen; Mann, Matthias

    2012-03-01

    In the analysis of complex peptide mixtures by MS-based proteomics, many more peptides elute at any given time than can be identified and quantified by the mass spectrometer. This makes it desirable to optimally allocate peptide sequencing and narrow mass range quantification events. In computer science, intelligent agents are frequently used to make autonomous decisions in complex environments. Here we develop and describe a framework for intelligent data acquisition and real-time database searching and showcase selected examples. The intelligent agent is implemented in the MaxQuant computational proteomics environment, termed MaxQuant Real-Time. It analyzes data as it is acquired on the mass spectrometer, constructs isotope patterns and SILAC pair information as well as controls MS and tandem MS events based on real-time and prior MS data or external knowledge. Re-implementing a top10 method in the intelligent agent yields similar performance to the data dependent methods running on the mass spectrometer itself. We demonstrate the capabilities of MaxQuant Real-Time by creating a real-time search engine capable of identifying peptides "on-the-fly" within 30 ms, well within the time constraints of a shotgun fragmentation "topN" method. The agent can focus sequencing events onto peptides of specific interest, such as those originating from a specific gene ontology (GO) term, or peptides that are likely modified versions of already identified peptides. Finally, we demonstrate enhanced quantification of SILAC pairs whose ratios were poorly defined in survey spectra. MaxQuant Real-Time is flexible and can be applied to a large number of scenarios that would benefit from intelligent, directed data acquisition. Our framework should be especially useful for new instrument types, such as the quadrupole-Orbitrap, that are currently becoming available.

  8. Business Intelligence Integrated Solutions

    Directory of Open Access Journals (Sweden)

    Cristescu Marian Pompiliu

    2017-01-01

    Full Text Available This paper shows how businesses make decisions better and faster in terms of customers, partners and operations by turning data into valuable business information. The paper describes how to bring together people's and business intelligence information to achieve successful business strategies. There is the possibility of developing business intelligence projects in large and medium-sized organizations only with the Microsoft product described in the paper, and possible alternatives can be discussed according to the required features.

  9. Survey of real-time processing systems for big data

    DEFF Research Database (Denmark)

    Liu, Xiufeng; Lftikhar, Nadeem; Xie, Xike

    2014-01-01

    In recent years, real-time processing and analytics systems for big data–in the context of Business Intelligence (BI)–have received a growing attention. The traditional BI platforms that perform regular updates on daily, weekly or monthly basis are no longer adequate to satisfy the fast......-changing business environments. However, due to the nature of big data, it has become a challenge to achieve the real-time capability using the traditional technologies. The recent distributed computing technology, MapReduce, provides off-the-shelf high scalability that can significantly shorten the processing time...... for big data; Its open-source implementation such as Hadoop has become the de-facto standard for processing big data, however, Hadoop has the limitation of supporting real-time updates. The improvements in Hadoop for the real-time capability, and the other alternative real-time frameworks have been...

  10. Using business intelligence to manage supply costs.

    Science.gov (United States)

    Bunata, Ernest

    2013-08-01

    Business intelligence tools can help materials managers and managers in the operating room and procedural areas track purchasing costs more precisely and determine the root causes of cost increases. Data can be shared with physicians to increase their awareness of the cost of physician preference items. Proper use of business intelligence goes beyond price benchmarking to manage price performance over time.

  11. Business Intelligence

    OpenAIRE

    Petersen, Anders

    2001-01-01

    Cílem této bakalářské práce je seznámení s Business Intelligence a zpracování vývojového trendu, který ovlivňuje podobu řešení Business Intelligence v podniku ? Business Activity Monitoring. Pro zpracování tohoto tématu byla použita metoda studia odborných pramenů, a to jak v českém, tak v anglickém jazyce. Hlavním přínosem práce je ucelený, v českém jazyce zpracovaný materiál pojednávající o Business Activity Monitoring. Práce je rozdělena do šesti hlavních kapitol. Prvních pět je věnováno p...

  12. Business Intelligence Approach In A Business Performance Context

    OpenAIRE

    Muntean, Mihaela; Cabau, Liviu Gabriel

    2011-01-01

    Subordinated to performance management, Business Intelligence approaches help firms to optimize business performance. Key performance indicators will be added to the multidimensional model grounding the performance perspectives. With respect to the Business Intelligence value chain, a theoretical approach was introduced and a practice example, based on Microsoft SQL Server specific services, for the customer perspective was implemented.

  13. Pro SharePoint 2010 Business Intelligence Solutions

    CERN Document Server

    Malik, Sahil; Wright, Steve

    2010-01-01

    What differentiates good organizations from bad? The good ones are those that take advantage of the data they already have and use the feedback that business intelligence gives them to improve their processes. SharePoint is now the delivery platform of choice for Microsoft's business intelligence products, and in this book we reveal how to get the most from developing business intelligence solutions on SharePoint 2010. To understand the various business intelligence offerings in SharePoint 2010, you need to understand the core SQL Server business intelligence concepts, and the first part of th

  14. Business process intelligence

    NARCIS (Netherlands)

    Castellanos, M.; Alves De Medeiros, A.K.; Mendling, J.; Weber, B.; Weijters, A.J.M.M.; Cardoso, J.; Aalst, van der W.M.P.

    2009-01-01

    Business Process Intelligence (BPI,) is an emerging area that is getting increasingly popularfor enterprises. The need to improve business process efficiency, to react quickly to changes and to meet regulatory compliance is among the main drivers for BPI. BPI refers to the application of Business

  15. Energy transparency by business intelligence; Energietransparenz durch Business Intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Flieder, Karl [Academia Nova, Schwechat (Austria). Business Process Management and Engineering

    2012-10-15

    The efficiency of energy is one of several key performance parameters, when it comes to the questions how innovative and economical a plant operates compared to its competitors. However, in order to evaluate energy saving potentials in the industry, we need transparency first: A clear picture of the energy consumption based on products and processes. This transparency can be accomplished through business intelligence (BI). This term encompasses analytical processes and tools that can help to transform enterprise data and information into applied knowledge. In this article, we focus on transparency of the energy consumption through a targeted analysis by making use of business intelligence.

  16. Knowledge Management and Problem Solving in Real Time: The Role of Swarm Intelligence

    Directory of Open Access Journals (Sweden)

    Chris W Callaghan

    2016-06-01

    Full Text Available Knowledge management research applied to the development of real-time research capability, or capability to solve societal problems in hours and days instead of years and decades, is perhaps increasingly important, given persistent global problems such as the Zika virus and rapidly developing antibiotic resistance. Drawing on swarm intelligence theory, this paper presents an approach to real-time research problem-solving in the form of a framework for understanding the complexity of real-time research and the challenges associated with maximizing collaboration. The objective of this research is to make explicit certain theoretical, methodological, and practical implications deriving from new literature on emerging technologies and new forms of problem solving and to offer a model of real-time problem solving based on a synthesis of the literature. Drawing from ant colony, bee colony, and particle swarm optimization, as well as other population-based metaheuristics, swarm intelligence principles are derived in support of improved effectiveness and efficiency for multidisciplinary human swarm problem-solving. This synthesis seeks to offer useful insights into the research process, by offering a perspective of what maximized collaboration, as a system, implies for real-time problem solving.

  17. Business Intelligence technology: The Croatian case

    Directory of Open Access Journals (Sweden)

    Katarina Ćurko

    2002-01-01

    Full Text Available Each company aims to improve its business performance. Business Intelligence (BI helps enterprises to optimize their decision-making capabilities and to attain unprecedented levels of competitive advantage. Its usage leads to conditions, procedures and mechanisms for creating quality information and business knowledge. By these the organization can successfully respond to numerous pressures in dynamical and complex environment. The main objective of the paper is to present what the business intelligence is, and show the results of the research about the level and use of business intelligence in Croatian large organizations.

  18. Business Intelligence Issues for Sustainability Projects

    Directory of Open Access Journals (Sweden)

    Mihaela Muntean

    2018-01-01

    Full Text Available Business intelligence (BI is an umbrella term for strategies, technologies, and information systems used by the companies to extract from large and various data, according to the value chain, relevant knowledge to support a wide range of operational, tactical, and strategic business decisions. Sustainability, as an integrated part of the corporate business, implies the integration of the new approach at all levels: business model, performance management system, business intelligence project, and data model. Both business intelligence issues presented in this paper represent the contribution of the author in modeling data for supporting further BI approaches in corporate sustainability initiatives. Multi-dimensional modeling has been used to ground the proposals and to introduce the key performance indicators. The démarche is strengthened with implementation aspects and reporting examples. More than ever, in the Big Data era, bringing together business intelligence methods and tools with corporate sustainability is recommended.

  19. Real time testing of intelligent relays for synchronous distributed generation islanding detection

    Science.gov (United States)

    Zhuang, Davy

    As electric power systems continue to grow to meet ever-increasing energy demand, their security, reliability, and sustainability requirements also become more stringent. The deployment of distributed energy resources (DER), including generation and storage, in conventional passive distribution feeders, gives rise to integration problems involving protection and unintentional islanding. Distributed generators need to be islanded for safety reasons when disconnected or isolated from the main feeder as distributed generator islanding may create hazards to utility and third-party personnel, and possibly damage the distribution system infrastructure, including the distributed generators. This thesis compares several key performance indicators of a newly developed intelligent islanding detection relay, against islanding detection devices currently used by the industry. The intelligent relay employs multivariable analysis and data mining methods to arrive at decision trees that contain both the protection handles and the settings. A test methodology is developed to assess the performance of these intelligent relays on a real time simulation environment using a generic model based on a real-life distribution feeder. The methodology demonstrates the applicability and potential advantages of the intelligent relay, by running a large number of tests, reflecting a multitude of system operating conditions. The testing indicates that the intelligent relay often outperforms frequency, voltage and rate of change of frequency relays currently used for islanding detection, while respecting the islanding detection time constraints imposed by standing distributed generator interconnection guidelines.

  20. [Business intelligence in radiology. Challenges and opportunities].

    Science.gov (United States)

    Escher, A; Boll, D

    2015-10-01

    Due to economic pressures and need for higher transparency, a ubiquitous availability of administrative information is needed. Therefore radiology managers should consider implementing business intelligence (BI) solutions. BI is defined as a systemic approach to support decision-making in business administration. It is an important part of the overall strategy of an organization. Implementation and operation is initially associated with costs and for a successful launch important prerequisites must be fulfilled. First, a suitable product must be selected, followed by the technical and organizational implementation. After consideration of the type of data to be collected and a system of key performance indicators must be established. BI replaces classic retrospective business reporting with multidimensional and multifactorial analyses, real-time monitoring, and predictive analyses. The benefits of BI include the rapid availability of important information and the depth of possible data analysis. The simple and intuitive use of modern BI applications by the users themselves (!) combined with a continuous availability of information is the key to success. Professional BI will be an important part of management in radiology in the future.

  1. Real-time risk monitoring in business processes : a sensor-based approach

    NARCIS (Netherlands)

    Conforti, R.; La Rosa, M.; Fortino, G.; Hofstede, ter A.H.M.; Recker, J.; Adams, M.

    2013-01-01

    This article proposes an approach for real-time monitoring of risks in executable business process models. The approach considers risks in all phases of the business process management lifecycle, from process design, where risks are defined on top of process models, through to process diagnosis,

  2. BUSINESS INTELLIGENCE AND SOCIAL MEDIA LISTENING

    OpenAIRE

    Tsvetta Kaleynska

    2015-01-01

    Business intelligence has been completely revamped over the past decade. After the arrival of social media, all brands realized that the organic insights and business intelligence lays in the conversation online. With that, the present and future of business can be found in social media listening.

  3. STUDY OF BUSINESS INTELLIGENCE SYSTEM QUALITY

    OpenAIRE

    DENIC Nebojsa; VUJOVIC Vuk; PERENIC Goran; SPASIC Boban

    2016-01-01

    IT has made remarkable progress over the last years. Business intelligence systems have been developing as an important part of IT. Enterprises often fail to realize importance and necessity of implementation of business intelligence solutions. This paper will deal with the approach for assessment of business intelligence in enterprises, based on maturity models. The significance of this paper is in the development of new conceptual research models which do not apply the usual thesis on ma...

  4. Considerations Regarding Business Intelligence in Cloud Context

    OpenAIRE

    Mihaela MUNTEAN

    2015-01-01

    This paper explores one of the newer challenges related to the field of Business Intelligence: cloud-based business intelligence. The purpose of this paper is to investigate how business intelligence and cloud computing could be used together to provide agility in business. Also, the paper presents briefly the different deployment models for cloud-based BI such as: BI software as a service (BI SaaS) and business analytic platform as a service (BA PaaS). The paper gives an overview of the curr...

  5. Business Intelligence Solutions for Gaining Competitive Advantage

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Business Intelligence is the process for increasing the competitive advantage of a company by intelligent use of available data in decision-making. Only a revolutionary Business Intelligence solution, like the proposed portal-based, can solve the complex issues faced when evaluating decision support applications and ensures the availability of any business-critical information.

  6. Leveraging business intelligence to make better decisions: Part I.

    Science.gov (United States)

    Reimers, Mona

    2014-01-01

    Data is the new currency. Business intelligence tools will provide better performing practices with a competitive intelligence advantage that will separate the high performers from the rest of the pack. Given the investments of time and money into our data systems, practice leaders must work to take every advantage and look at the datasets as a potential goldmine of business intelligence decision tools. A fresh look at decision tools created from practice data will create efficiencies and improve effectiveness for end-users and managers.

  7. Business intelligence and capacity planning: web-based solutions.

    Science.gov (United States)

    James, Roger

    2010-07-01

    Income (activity) and expenditure (costs) form the basis of a modern hospital's 'business intelligence'. However, clinical engagement in business intelligence is patchy. This article describes the principles of business intelligence and outlines some recent developments using web-based applications.

  8. Architecture for Business Intelligence in the Healthcare Sector

    Science.gov (United States)

    Lee, Sang Young

    2018-03-01

    Healthcare environment is growing to include not only the traditional information systems, but also a business intelligence platform. For executive leaders, consultants, and analysts, there is no longer a need to spend hours in design and develop of typical reports or charts, the entire solution can be completed through using Business Intelligence software. The current paper highlights the advantages of big data analytics and business intelligence in the healthcare industry. In this paper, In this paper we focus our discussion around intelligent techniques and methodologies which are recently used for business intelligence in healthcare.

  9. Soft computing for business intelligence

    CERN Document Server

    Pérez, Rafael; Cobo, Angel; Marx, Jorge; Valdés, Ariel

    2014-01-01

    The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg. It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other softcomputing elements. The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.

  10. Interfacing An Intelligent Decision-Maker To A Real-Time Control System

    Science.gov (United States)

    Evers, D. C.; Smith, D. M.; Staros, C. J.

    1984-06-01

    This paper discusses some of the practical aspects of implementing expert systems in a real-time environment. There is a conflict between the needs of a process control system and the computational load imposed by intelligent decision-making software. The computation required to manage a real-time control problem is primarily concerned with routine calculations which must be executed in real time. On most current hardware, non-trivial AI software should not be forced to operate under real-time constraints. In order for the system to work efficiently, the two processes must be separated by a well-defined interface. Although the precise nature of the task separation will vary with the application, the definition of the interface will need to follow certain fundamental principles in order to provide functional separation. This interface was successfully implemented in the expert scheduling software currently running the automated chemical processing facility at Lockheed-Georgia. Potential applications of this concept in the areas of airborne avionics and robotics will be discussed.

  11. Business Intelligence & Analytical Intelligence: hou het zakelijk

    OpenAIRE

    Van Nieuwenhuyse, Dries

    2013-01-01

    Technologie democratiseert, de markt consolideert, terwijl de hoeveelheid data explodeert. Het lijkt een ideale voedingsbodem voor projecten rond business intelligence en analytics. “Hoe minder de technologie het verschil zal maken, hoe prominenter de business aanwezig zal zijn.”

  12. Near Real-Time Call Detail Record ETL Flows

    Science.gov (United States)

    Cochinwala, Munir; Panagos, Euthimios

    Telecommunication companies face significant business challenges as they strive to reduce subscriber churn and increase average revenue per user (ARPU) by offering new services and incorporating new functionality into existing services. The increased number of service offerings and available functionality result in an ever growing volume of call detail records (CDRs). For many services (e.g., pre-paid), CDRs need to be processed and analyzed in near real-time for several reasons, including charging, on-line subscriber access to their accounts, and analytics for predicting subscriber usage and preventing fraudulent activity. In this paper, we describe the challenges associated with near real-time extract, transform, and load (ETL) of CDR data warehouse flows for supporting both the operational and business intelligence needs of telecommunication services, and we present our approach to addressing these challenges.

  13. Agile Development for Service Oriented Business Intelligence Solutions

    Directory of Open Access Journals (Sweden)

    Marinela MIRCEA

    2011-03-01

    Full Text Available Considering the evolution of information and communications technology, the necessity of alignment of public and private sectors to European Union requirements, the current economic crisis, and the global context, all organizations are trying to achieve major changes that would enable them to operate as intelligent organizations. For this purpose, agility and Business Intelligence are seen by most managers as a way to transform their organizations into intelligent organizations. The study highlights the importance of modern approaches (Service Oriented Architecture, Business Process Management, Business Rules, Cloud Computing, Master Data Management in developing agile Business Intelligence solutions. The paper also presents the stages of developing an agile Business Intelligence solution in the case of public procurement.

  14. A model for Business Intelligence Systems’ Development

    Directory of Open Access Journals (Sweden)

    Manole VELICANU

    2009-01-01

    Full Text Available Often, Business Intelligence Systems (BIS require historical data or data collected from var-ious sources. The solution is found in data warehouses, which are the main technology used to extract, transform, load and store data in the organizational Business Intelligence projects. The development cycle of a data warehouse involves lots of resources, time, high costs and above all, it is built only for some specific tasks. In this paper, we’ll present some of the aspects of the BI systems’ development such as: architecture, lifecycle, modeling techniques and finally, some evaluation criteria for the system’s performance.

  15. BUSINESS INTELLIGENCE INSTRUMENTS FOR HR MONITORING

    Directory of Open Access Journals (Sweden)

    Radulescu Magdalena

    2009-05-01

    Full Text Available Business Intelligence is the combination of the information from several sources, and presenting results in a form that can be used in taking business decisions. Processed and presented in an intelligent way, this information gives the company the advanta

  16. Business intelligence making decisions through data analytics

    CERN Document Server

    Surma, Jerzy

    2014-01-01

    This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.

  17. Experiential Learning Using QlikView Business Intelligence Software

    Science.gov (United States)

    Podeschi, R. J.

    2015-01-01

    This paper reports on the use of QlikView business intelligence software for use in a Business Intelligence (BI) course within an undergraduate information systems program. The course provides students with concepts related to data warehousing, data mining, visualizations, and software tools to provide business intelligence solutions for decision…

  18. Components of a Business Intelligence software solution

    OpenAIRE

    Daniel BALACEANU

    2007-01-01

    Business intelligence (BI) is a business management term which refers to applications and technologies which are used to gather, provide access to, and analyze data and information about company operations. Business intelligence systems can help companies have a more comprehensive knowledge of the factors affecting their business, such as metrics on sales, production, internal operations, and they can help companies to make better business decisions.

  19. The Relationship between a Business Simulator, Constructivist Practices, and Motivation toward Developing Business Intelligence Skills

    Directory of Open Access Journals (Sweden)

    Ju Long

    2016-11-01

    Full Text Available Developing Business Intelligence (BI has been a top priority for enterprise executives in recent years. To meet these demands, universities need to prepare students to work with BI in enterprise settings. In this study, we considered a business simulator that offers students opportunities to apply BI and make top-management decisions in a system used by real-world professionals. The simulation-based instruction can be effective only if students are not discouraged by the difficulty of using the BI computer system and comprehending the complex BI subjects. Constructivist practices embedded in the business simulation are investigated to understand their potentials for helping the students to overcome the perceived difficulty. Consequently, it would enable instructors to more efficiently use the simulator by providing insights on its pedagogical practices. Our findings showed that the constructivist practices such as collaboration and subject integration positively influence active learning and meaningful learning respectively. In turn, both active learning and meaningful learning positively influence business intelligence motivational behavior. These findings can be further used to develop a robust learning environment in BI classes.

  20. Intelligent Traffic Information System a Real-Time Traffic Information System on the Shiraz Bypass

    Directory of Open Access Journals (Sweden)

    Sodagaran Amir

    2016-01-01

    Full Text Available Real-time traffic information system is an Intelligent Transportation System (ITS that allows commuters to make their traveling plan better. In this regard, an intelligent and real-time traffic information system was developed based on the video detection and an image processing algorithm was applied to measure traffic-flow according to the average speed of vehicles. Then, traffic status of each pass way is broadcasted to the electronic boards installed on all decision making entrance / exit. Different levels of congestion related to the routes ahead are shown on the boards with different colors in order to assist commuters. This system was implemented on the Shiraz Dry River’s bypasses which account as vital routes to moderate traffic of city center. Experimental results are promising due to the proximity of determined traffic status by the system compared to the detection done by traffic experts. Average speed improvement is another result of using this system. This intelligent system developed and implemented in Shiraz city for the first time in Iran.s.

  1. Business Intelligence: Turning Knowledge into Power

    Science.gov (United States)

    Endsley, Krista

    2009-01-01

    Today, many school districts are turning to business intelligence tools to retrieve, organize, and share knowledge for faster analysis and more effective, guided decision making. Business intelligence (BI) tools are the technologies and applications that gather and report information to help an organization's leaders make better decisions. BI…

  2. Real Language Meets Real Business

    Science.gov (United States)

    Muirhead, Muirhead; Schechter, Sarah

    2016-01-01

    The Real Business Language Challenge was a collaborative pilot project between Coca-Cola Enterprises (CCE) and Routes into Languages East for Year 9 and 10 pupils. It was based on CCE's award-winning Real Business Challenge, part of its highly acclaimed education programme. The Real Business Language Challenge transformed the project into a…

  3. Real-time electricity pricing in a deregulated environment using artificial intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Dondo, M.G.

    1998-12-31

    The challenge of implementing real-time pricing of electricity was discussed. Several electric utilities want to incorporate real-time pricing into their rate policies. Conventional programming methods are not fast enough to process and distribute information in real time. Therefore, a new method that would match the current advances in communication speeds is needed. Also, conventional programming methods do not incorporate the uncertainties that are inherent in the lives of humans. Therefore, it is necessary to incorporate this fuzziness into the model. This study showed that the elements of speed and uncertainties can be readily incorporated into the determination of spot-pricing based electricity rates. A unique computational intelligence model was designed which consists of a feedforward neural network based on back-propagation training and a fuzzy logic model. The work has been demonstrated on the IEEE test systems and the Nova Scotia Power Corporation`s system.

  4. Real-time intelligent pattern recognition algorithm for surface EMG signals

    Directory of Open Access Journals (Sweden)

    Jahed Mehran

    2007-12-01

    Full Text Available Abstract Background Electromyography (EMG is the study of muscle function through the inquiry of electrical signals that the muscles emanate. EMG signals collected from the surface of the skin (Surface Electromyogram: sEMG can be used in different applications such as recognizing musculoskeletal neural based patterns intercepted for hand prosthesis movements. Current systems designed for controlling the prosthetic hands either have limited functions or can only be used to perform simple movements or use excessive amount of electrodes in order to achieve acceptable results. In an attempt to overcome these problems we have proposed an intelligent system to recognize hand movements and have provided a user assessment routine to evaluate the correctness of executed movements. Methods We propose to use an intelligent approach based on adaptive neuro-fuzzy inference system (ANFIS integrated with a real-time learning scheme to identify hand motion commands. For this purpose and to consider the effect of user evaluation on recognizing hand movements, vision feedback is applied to increase the capability of our system. By using this scheme the user may assess the correctness of the performed hand movement. In this work a hybrid method for training fuzzy system, consisting of back-propagation (BP and least mean square (LMS is utilized. Also in order to optimize the number of fuzzy rules, a subtractive clustering algorithm has been developed. To design an effective system, we consider a conventional scheme of EMG pattern recognition system. To design this system we propose to use two different sets of EMG features, namely time domain (TD and time-frequency representation (TFR. Also in order to decrease the undesirable effects of the dimension of these feature sets, principle component analysis (PCA is utilized. Results In this study, the myoelectric signals considered for classification consists of six unique hand movements. Features chosen for EMG signal

  5. Airline Applications of Business Intelligence Systems

    Directory of Open Access Journals (Sweden)

    Mihai ANDRONIE

    2015-09-01

    Full Text Available Airline industry is characterized by large quantities of complex, unstructured and rapid changing data that can be categorized as big data, requiring specialized analysis tools to explore it with the purpose of obtaining useful knowledge as decision support for companies that need to fundament their activities and improve the processes they are carrying on. In this context, business intelligence tools are valuable instruments that can optimally process airline related data so that the activities that are conducted can be optimized to maximize profits, while meeting customer requirements. An airline company that has access to large volumes of data (stored into conventional or big data repositories has two options to extract useful decision support information: processing data by using general-purpose business intelligence systems or processing data by using industry specific business intelligence systems. Each of these two options has both advantages and disadvantages for the airline companies that intend to use them. The present paper presents a comparative study of a number of general-purpose and airline industry specific business intelligence systems, together with their main advantages and disadvantages.

  6. Panel Discussion: Near Real Time Imagery Intelligence How Will We Do It?

    Science.gov (United States)

    Andraitis, Arthur A.; Crane, Alfred C.; Daniels, George; Graham, Johnny; LaGesse, Francis R.

    1987-02-01

    This afternoon's panel discussion will address near real time imagery and intelligence--how will we do it? Our moderator is Arthur Andraitis, a consultant in intelligence reconnaissance systems and international marketing. He was commissioned in the United States Air Force out of the University of Idaho, and entered the Air Force in 1955 where he became an Image Intelligence Officer serving in a variety of intelligence and reconnaisance related assignments, including two tours each in Asia and Europe supporting tactical theater and national level operations. He also suffered through two Pentagon tours--one as Branch Chief of the Imagery Branch for the Assistant Chief of Staff for Intelligence. He was the U. S. National Coordinator for two NATO intelligence and reconnaissance panels, and served several assignments in support of special operations, which included a year with the special forces in Viet Nam where he flew many missions in L-19s, 01 and assault helicopters. He has been an advisor on intelligence and reconnaissance matters to several foreign countries. In 1978 he retired from the United States Air Force, went to work for Itek, and then became an independent consultant in intelligence and reconaissance systems. I would like to introduce Art Andraitis.

  7. Using Intelligent Agents to Manage Business Processes

    OpenAIRE

    Jennings, N. R.; Faratin, P.; Johnson, M. J.; O'Brien, P.; Wiegand, M. E.

    1996-01-01

    Management of the business process requires pertinent, consistent and up-to-date information gathering and information dissemination. These complex and time consuming tasks prompt organizations to develop an Information Technology system to assist with the management of various aspects of their business processes. Intelligent agents are the strongest solution candidates because of their many advantages, namely: autonomy, social ability, responsiveness and proactiveness. Given these characteri...

  8. Real time Intelligent Control Laboratory (RT-ICL) of PowerLabDK for smart grid technology development

    DEFF Research Database (Denmark)

    Ostergaard, Jacob; Wu, Qiuwei; Garcia-Valle, Rodrigo

    2012-01-01

    This paper presents the Intelligent Control Laboratory (ICL) of the PowerLabDK and describes examples of ongoing research work utilizing the ICL. The ICL is comprised of a real time digital simulator (RTDS) with 5 racks, a full scale SCADA system and experimental control room with a link to the B......This paper presents the Intelligent Control Laboratory (ICL) of the PowerLabDK and describes examples of ongoing research work utilizing the ICL. The ICL is comprised of a real time digital simulator (RTDS) with 5 racks, a full scale SCADA system and experimental control room with a link...

  9. Business Intelligence Systems Accounting Integration in Romania. a Comparative Analysis

    Directory of Open Access Journals (Sweden)

    Daniela Postolache (Males

    2010-12-01

    Full Text Available Business Intelligence (BI systems have penetrated the Romanian market, providing a real decision support by integrating and synthesizing a large variety of information available in real time, anywhere in the world, including through mobile terminals. This study examines the BI solutions promoted in Romania through Internet sites written in Romanian, in terms of how the accounting information integration is done. Our paper highlights the most used economic and financial indicators and most often selected tools by BI systems developers to assist decisions. The writing bring forward the lack of transparency of the analyzed sites towards of configuration details of economic instruments, which we consider likely to delay the managers from Romania in order to become familiar with BI solutions, and it represent a weakness of this products promotion.

  10. Clinical and Business Intelligence: Why It's Important to Your Pharmacy.

    Science.gov (United States)

    Pinto, Brian; Fox, Brent I

    2016-07-01

    According to the Healthcare Information Management and Systems Society, "Clinical & Business Intelligence (C&BI) is the use and analysis of data captured in the healthcare setting to directly inform decision-making" (http://www.himss.org/library/clinical-business-intelligence). Some say that it is the right information given to the right person at the right time in the right way. No matter how you define it, the fact remains that timely access, synthesis, and visualization of clinical data have become key to how health professionals make patient care decisions and improve care delivery.

  11. Business Hypervisors for Real-time Applications

    Directory of Open Access Journals (Sweden)

    L. Perneel

    2015-08-01

    Full Text Available System virtualization is one of the hottest trends in information technology today. It is not just another nice to use technology but has become fundamental across the business world. It is successfully used with many business application classes where cloud computing is the most visual one. Recently, it started to be used for soft Real-Time (RT applications such as IP telephony, media servers, audio and video streaming servers, automotive and communication systems in general. Running these applications on a traditional system (Hardware + Operating System guarantee their Quality of Service (QoS; virtualizing them means inserting a new layer between the hardware and the (virtual Operating System (OS, and thus adding extra overhead. Although these applications’ areas do not always demand hard time guarantees, they require the underlying virtualization layer supports low latency and provide adequate computational resources for completion within a reasonable or predictable timeframe. These aspects are intimately intertwined with the logic of the hypervisor scheduler. In this paper, a series of tests are conducted on three hypervisors (VMware ESXi, Hyper-V server and Xen to provide a benchmark of the latencies added to the applications running on top of them. These tests are conducted for different scenarios (use cases to take into consideration all the parameters and configurations of the hypervisors’ schedulers. Finally, this benchmark can be used as a reference for choosing the best hypervisor-application combination.

  12. Automated business process management – in times of digital transformation using machine learning or artificial intelligence

    Directory of Open Access Journals (Sweden)

    Paschek Daniel

    2017-01-01

    Full Text Available The continuous optimization of business processes is still a challenge for companies. In times of digital transformation, faster changing internal and external framework conditions and new customer expectations for fastest delivery and best quality of goods and many more, companies should set up their internal process at the best way. But what to do if framework conditions changed unexpectedly? The purpose of the paper is to analyse how the digital transformation will impact the Business Process Management (BPM while using methods like machine learning or artificial intelligence. Therefore, the core components will be explained, compared and set up in relation. To identify application areas interviews and analysis will be held up with digital companies. The finding of the paper will be recommendation for action in the field of BPM and process optimization through machine learning and artificial intelligence. The Approach of optimizing and management processes via machine learning and artificial intelligence will support companies to decide which tool will be the best for automated BPM.

  13. Context-Enabled Business Intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Troy Hiltbrand

    2012-04-01

    To truly understand context and apply it in business intelligence, it is vital to understand what context is and how it can be applied in addressing organizational needs. Context describes the facets of the environment that impact the way that end users interact with the system. Context includes aspects of location, chronology, access method, demographics, social influence/ relationships, end-user attitude/ emotional state, behavior/ past behavior, and presence. To be successful in making Business Intelligence content enabled, it is important to be able to capture the context of use user. With advances in technology, there are a number of ways in which this user based information can be gathered and exposed to enhance the overall end user experience.

  14. Data Mining for Business Intelligence Concepts, Techniques, and Applications in Microsoft Office Excel(r) with XLMiner(r)

    CERN Document Server

    Shmueli, Galit; Bruce, Peter C

    2011-01-01

    Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models. Featuring complimentary access to XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of DM techniques are presented with hands-on, business-oriented applications. An abundant amount of exercises and examples, now doubled in number in the second edit

  15. Business intelligence guidebook from data integration to analytics

    CERN Document Server

    Sherman, Rick

    2015-01-01

    Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project laun...

  16. Design of a real-time tax-data monitoring intelligent card system

    Science.gov (United States)

    Gu, Yajun; Bi, Guotang; Chen, Liwei; Wang, Zhiyuan

    2009-07-01

    To solve the current problem of low efficiency of domestic Oil Station's information management, Oil Station's realtime tax data monitoring system has been developed to automatically access tax data of Oil pumping machines, realizing Oil-pumping machines' real-time automatic data collection, displaying and saving. The monitoring system uses the noncontact intelligent card or network to directly collect data which can not be artificially modified and so seals the loopholes and improves the tax collection's automatic level. It can perform real-time collection and management of the Oil Station information, and find the problem promptly, achieves the automatic management for the entire process covering Oil sales accounting and reporting. It can also perform remote query to the Oil Station's operation data. This system has broad application future and economic value.

  17. Avoimen lähdekoodin business intelligence -raportointi

    OpenAIRE

    Kortelainen, Jarmo

    2010-01-01

    Opinnäytetyön toimeksiantaja Intellica Solutions Oy on jyväskyläläinen business inteligence -ratkaisujen toimittamiseen erikoistunut yritys. Intellica Solutions on käyttänyt ratkaisuissaan yksinomaan kaupallisia tuotteita. Tutkimuksen tarkoituksena oli selvittää, kuinka hyvin avoimen lähdekoodin business intelligence -raportointivälineet vastaavat ominaisuuksiltaan ja teknologisilta ratkaisuiltaan kaupallisia business intelligence -tuotteita. Opinnäytetyö on tyypiltään tapaustutkimus. Ty...

  18. Model of key success factors for Business Intelligence implementation

    Directory of Open Access Journals (Sweden)

    Peter Mesaros

    2016-07-01

    Full Text Available New progressive technologies recorded growth in every area. Information-communication technologies facilitate the exchange of information and it facilitates management of everyday activities in enterprises. Specific modules (such as Business Intelligence facilitate decision-making. Several studies have demonstrated the positive impact of Business Intelligence to decision-making. The first step is to put in place the enterprise. The implementation process is influenced by many factors. This article discusses the issue of key success factors affecting to successful implementation of Business Intelligence. The article describes the key success factors for successful implementation and use of Business Intelligence based on multiple studies. The main objective of this study is to verify the effects and dependence of selected factors and proposes a model of key success factors for successful implementation of Business Intelligence. Key success factors and the proposed model are studied in Slovak enterprises.

  19. Successful Business Intelligence System for SME: An Analytical Study in Malaysia

    Science.gov (United States)

    Qushem, Umar Bin; Zeki, Akram M.; Abubakar, Adamu

    2017-08-01

    While many larger organizations is adhering to a new level of competence by adoption of advanced Business Intelligence (BI) systems, in the same time there are other small-medium companies who are left behind in terms of updating them for better success in the industry. Thus the aim of the research is to identify Small and Medium Enterprise (SME) specific determinants for Business Intelligence efficiency which will lead those organizations a better understanding of development and testing of BI framework in the business world. In this study, it is therefore considered extensive literature reviews to measure the efficiently factors and proposed a holistic conceptual framework. In the same time, feedbacks of the Business Intelligent experts were taken into consideration to provide new insights for SME companies to ensure where to focus and which type of sector is crucial for an SME organization in order to be successful in parallel with Big organizations. Thus in this regard, Quantitative Survey research method is used and Statistical analysis were used for analyzing the data. The results revealed that SME Companies should focus on Environmental factor (EF) as it is the most identified factor lead BI efficiency in Business Organization.

  20. BUSINESS INTELLIGENCE TOOLS FOR DATA ANALYSIS AND DECISION MAKING

    Directory of Open Access Journals (Sweden)

    DEJAN ZDRAVESKI

    2011-04-01

    Full Text Available Every business is dynamic in nature and is affected by various external and internal factors. These factors include external market conditions, competitors, internal restructuring and re-alignment, operational optimization and paradigm shifts in the business itself. New regulations and restrictions, in combination with the above factors, contribute to the constant evolutionary nature of compelling, business-critical information; the kind of information that an organization needs to sustain and thrive. Business intelligence (“BI” is broad term that encapsulates the process of gathering information pertaining to a business and the market it functions in. This information when collated and analyzed in the right manner, can provide vital insights into the business and can be a tool to improve efficiency, reduce costs, reduce time lags and bring many positive changes. A business intelligence application helps to achieve precisely that. Successful organizations maximize the use of their data assets through business intelligence technology. The first data warehousing and decision support tools introduced companies to the power and benefits of accessing and analyzing their corporate data. Business users at every level found new, more sophisticated ways to analyze and report on the information mined from their vast data warehouses.Choosing a Business Intelligence offering is an important decision for an enterprise, one that will have a significant impact throughout the enterprise. The choice of a BI offering will affect people up and down the chain of command (senior management, analysts, and line managers and across functional areas (sales, finance, and operations. It will affect business users, application developers, and IT professionals. BI applications include the activities of decision support systems (DSS, query and reporting, online analyticalprocessing (OLAP, statistical analysis, forecasting, and data mining. Another way of phrasing this is

  1. BUSINESS INTELLIGENCE – PAST, PRESENT AND FUTURE

    Directory of Open Access Journals (Sweden)

    Cătălina Monica ALEXE

    2014-06-01

    Full Text Available In a society constantly evolving, with information technologies being in a permanent transformation, the managers of agile, flexible organizations, which are equipped with the latest tools for making decisions and with people well trained to use them, will be able to successfully meet the challenges of the future. This paper presents the evolution of Business Intelligence and a comparative analysis between two modern developments of it, such as Mobile Business Intelligence and Cloud Business Intelligence, with accent on the advantages, disadvantages, implications and benefits at the company level. These are useful tools suitable for the management of the companies that are obliged to operate in a global economy facing with crisis.

  2. Business Intelligence v prostředí Cloudu

    OpenAIRE

    Náhlovský, Tomáš

    2015-01-01

    This master thesis deals with Business Intelligence in Cloud computing environment and comparing some of available solutions, that are currently offered on the market. The theoretical part focuses on definition of Business Intelligence and Cloud computing terms and combination thereof, including a description of the components, functionalities and technologies that use. The theoretical part describes, among other, the current trends from the world of Business Intelligence. The practical part ...

  3. Business-Intelligence-Systeme im Spannungsfeld zwischen Usability und Sicherheit

    OpenAIRE

    Hinck, Thorsten

    2010-01-01

    Business-Intelligence-Systeme stehen im Spannungsfeld zwischen Usability und Sicherheit. Die Gefahren und Sicherheitsmaßnahmen für Informationssysteme werden ermittelt und ökonomisch in Bezug zur Gebrauchstauglichkeit gesetzt. Es entsteht ein Sicherheitsprofil für Business-Intelligence-Systeme. Business-Intelligence-Systems are in tension between Usability and IT-Security. Risks and safety measures of informationsystems are defined and set in (economic) regard to Usability. A security prof...

  4. BUILDING A COMPETITIVE BUSINESS INTELLIGENCE ARCHITECTURE THAT CAN FOSTER PERFORMANCE IN THE ROMANIAN NATIONAL RAILWAY COMPANY

    Directory of Open Access Journals (Sweden)

    Dragan George Bogdan

    2015-05-01

    Full Text Available Today many industry players from banking, financial services, insurance, IT, healthcare, telecommunications and transportation are deploying competitive business intelligence to grow their company’s financial results. The use of such advanced business applications is one key enabler to increase their spread which provides them an edge over their competitors. Companies of the future are buiding a new culture developed on fact-based decisions. (BusinessWeek Research Services, 2009 These decisions are made through analysis using the business analytics systems which encourage the anticipation in solving complex business problems in the entire organization. Embracing this approach, these companies focus on their most profitable customers, define the right pricing, a faster product innovation, optimize supply chains and identify the real drivers of financial performance. This research paper will detail the theorethical importance of using competitive business intelligence architectures to gain competitive advantage.

  5. Quest for business intelligence in health care.

    Science.gov (United States)

    Van De Graaff, Joe; Cameron, Austin

    2013-02-01

    In an era of reform, providers are examining more forward-thinking business intelligence strategies, according to a recent study. Enterprise business intelligence tool sets offer a breadth of design and functionality that often are capable of serving the enterprise. One limitation of broader tool sets is that they may lack needed application-specific functionality or prebuilt healthcare content for a specific department.

  6. SAP Business Intelligence: Migración de COGNOS a SAP

    OpenAIRE

    Legorburu Cladera, Iñigo

    2013-01-01

    El objetivo del proyecto consiste en la migración de la herramienta de Business Intelligence de COGNOS a una nueva solución de Business Intelligence, que reduzca los costes y se adapte a las necesidades de la empresa. Este objetivo incluye la migración de todos los informes y cubos al nuevo Business Intelligence.

  7. IMPLEMENTATION OF BUSINESS INTELLIGENCE ON BANKING, RETAIL, AND EDUCATIONAL INDUSTRY

    Directory of Open Access Journals (Sweden)

    Arta Moro Sundjaja

    2013-10-01

    Full Text Available Information technology is useful to automate business process involving considerable data transaction in the daily basis. Currently, companies have to tackle large data transaction which is difficult to be handled manually. It is very difficult for a person to manually extract useful information from a large data set despite of the fact that the information may be useful in decision-making process. This article studied and explored the implementation of business intelligence in banking, retail, and educational industries. The article begins with the exposition of business intelligence role in the industries; is followed by an illustration of business intelligence in the industries and finalized with the implication of business intelligence implementation.

  8. Organization Effectiveness and Business Intelligence Systems. Literature Review

    Directory of Open Access Journals (Sweden)

    Remigiusz Tunowski

    2015-12-01

    Full Text Available Purpose: To better understand the impact of Business Intelligence systems on organizations’ effectiveness. Methodology: Critical and descriptive literature review. Findings: On the basis of numerous case studies described in literature and pertaining to various types of enterprises, different industries and countries, the paper confirms the positive impact of the implementation of Business Intelligence systems on organizations’ effectiveness. Research implications: The paper provides insights that can fuel future in-depth research aimed at the development of objective methods for measuring the impact of the implementation of Business Intelligence systems on organizational effectiveness, as well as further quantitative research. Practical implications: Results of the majority of studies indicate that the implementation of Business Intelligence systems brings tangible benefits to organizations. The implementation should, however, be appropriate and adequate, adjusted to each organization’s resources. Originality: The paper organizes and systematizes knowledge about the impact of BI implementation on organisation’s efficiency.

  9. Open Source Data Warehousing and Business Intelligence

    CERN Document Server

    Bulusu, Lakshman

    2012-01-01

    Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW & BI implementation, its comprehensive coverage spans from basic concepts all the way through to customization. Highlighting the key differences between open source and vendor DW and BI technologies, the book identifies end-to-end solutions that are scala

  10. Business and Social Behaviour Intelligence Analysis Using PSO

    OpenAIRE

    Vinay S Bhaskar; Abhishek Kumar Singh; Jyoti Dhruw; Anubha Parashar; Mradula Sharma

    2014-01-01

    The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial dat...

  11. Business Intelligence in Hospital Management.

    Science.gov (United States)

    Escher, Achim; Hainc, Nicolin; Boll, Daniel

    2016-01-01

    Business intelligence (BI) is a worthwhile investment, and will play a significant role in hospital management in the near future. Implementation of BI is challenging and requires resources, skills, and a strategy, but enables management to have easy access to relevant analysis of data and visualization of important key performance indicators (KPI). Modern BI applications will help to overcome shortages of common "hand-made" analysis, save time and money, and will enable even managers to do "self-service" analysis and reporting.

  12. Toepassen van Business Intelligence

    NARCIS (Netherlands)

    Z.F.M. (Rien) Hamers

    2004-01-01

    Het is niet altijd even duidelijk wat het begrip 'business intelligence' precies inhoudt. BI kent namelijk een diversiteit aan definities en is vanuit verschillende organisatorische en ICT-disciplines te benaderen. Deze checklist wil deze aanpak op pragmatische maar toch intelligente wijze

  13. Effective use of business intelligence.

    Science.gov (United States)

    Glaser, John; Stone, John

    2008-02-01

    Business intelligence--technology to manage and leverage an organization's data--can enhance healthcare organizations' financial and operational performance and quality of patient care. Effective BI management requires five preliminary steps: Establish business needs and value. Obtain buy-in from managers. Create an end-to-end vision. Establish BI governance. Implement specific roles for managing data quality.

  14. Development of an intelligent hydroinformatic system for real-time monitoring and assessment of civil infrastructure

    Science.gov (United States)

    Cahill, Paul; Michalis, Panagiotis; Solman, Hrvoje; Kerin, Igor; Bekic, Damir; Pakrashi, Vikram; McKeogh, Eamon

    2017-04-01

    With the effects of climate change becoming more apparent, extreme weather events are now occurring with greater frequency throughout the world. Such extreme events have resulted in increased high intensity flood events which are having devastating consequences on hydro-structures, especially on bridge infrastructure. The remote and often inaccessible nature of such bridges makes inspections problematic, a major concern if safety assessments are required during and after extreme flood events. A solution to this is the introduction of smart, low cost sensing solutions at locations susceptible to hydro-hazards. Such solutions can provide real-time information on the health of the bridge and its environments, with such information aiding in the mitigation of the risks associated with extreme weather events. This study presents the development of an intelligent system for remote, real-time monitoring of hydro-hazards to bridge infrastructure. The solution consists of two types of remote monitoring stations which have the capacity to monitor environmental conditions and provide real-time information to a centralized, big data database solution, from which an intelligent decision support system will accommodate the results to control and manage bridge, river and catchment assets. The first device developed as part of the system is the Weather Information Logging Device (WILD), which monitors rainfall, temperature and air and soil moisture content. The ability of the WILD to monitor rainfall in real time enables flood early warning alerts and predictive river flow conditions, thereby enabling decision makers the ability to make timely and effective decisions about critical infrastructures in advance of extreme flood events. The WILD is complemented by a second monitoring device, the Bridge Information Recording Device (BIRD), which monitors water levels at a given location in real-time. The monitoring of water levels of a river allows for, among other applications

  15. Business Intelligence in Process Control

    Science.gov (United States)

    Kopčeková, Alena; Kopček, Michal; Tanuška, Pavol

    2013-12-01

    The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of application, is discussed in this paper. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for company management. Article is logically divided into five main parts. In the first part, there is the definition of the technology and the list of main advantages. In the second part, an overview of the system architecture with the brief description of separate building blocks is presented. Also, the hierarchical nature of the system architecture is shown. The technology life cycle consisting of four steps, which are mutually interconnected into a ring, is described in the third part. In the fourth part, analytical methods incorporated in the online analytical processing and data mining used within the business intelligence as well as the related data mining methodologies are summarised. Also, some typical applications of the above-mentioned particular methods are introduced. In the final part, a proposal of the knowledge discovery system for hierarchical process control is outlined. The focus of this paper is to provide a comprehensive view and to familiarize the reader with the Business Intelligence technology and its utilisation.

  16. Foundations of SQL Server 2008 R2 Business Intelligence

    CERN Document Server

    Fouche, Guy

    2011-01-01

    Foundations of SQL Server 2008 R2 Business Intelligence introduces the entire exciting gamut of business intelligence tools included with SQL Server 2008. Microsoft has designed SQL Server 2008 to be more than just a database. It's a complete business intelligence (BI) platform. The database is at its core, and surrounding the core are tools for data mining, modeling, reporting, analyzing, charting, and integration with other enterprise-level software packages. SQL Server 2008 puts an incredible amount of BI functionality at your disposal. But how do you take advantage of it? That's what this

  17. Contextual Intelligent Load Management Considering Real Time Pricing in a Smart Grid Environment

    DEFF Research Database (Denmark)

    Gomes, Luis; Fernandes, Filipe; Faria, Pedro

    2013-01-01

    The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium...... size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper...... addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks....

  18. Intelligent Stale-Frame Discards for Real-Time Video Streaming over Wireless Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    Sheu Tsang-Ling

    2009-01-01

    Full Text Available Abstract This paper presents intelligent early packet discards (I-EPD for real-time video streaming over a multihop wireless ad hoc network. In a multihop wireless ad hoc network, the quality of transferring real-time video streams could be seriously degraded, since every intermediate node (IN functionally like relay device does not possess large buffer and sufficient bandwidth. Even worse, a selected relay node could leave or power off unexpectedly, which breaks the route to destination. Thus, a stale video frame is useless even if it can reach destination after network traffic becomes smooth or failed route is reconfigured. In the proposed I-EPD, an IN can intelligently determine whether a buffered video packet should be early discarded. For the purpose of validation, we implement the I-EPD on Linux-based embedded systems. Via the comparisons of performance metrics (packet/frame discards ratios, PSNR, etc., we demonstrate that video quality over a wireless ad hoc network can be substantially improved and unnecessary bandwidth wastage is greatly reduced.

  19. Rancang Bangun Sistem Business Intelligence Universitas Sebagai Pendukung Pengambilan Keputusan Akademik

    Directory of Open Access Journals (Sweden)

    Zainal Arifin

    2016-01-01

    Full Text Available Sistem business intelligence universitas dimulai dengan tahapan integrasi data, analisis data, membuat laporan dan membuatweb portal dan kemudian mengitegrasikan laporan tersebut dengan web portal. Analisis data diolah dengan OLAP, KPI dandata mining untuk mengekstrak informasi dari data yang tersimpan didalam data warehouse. Hasil proses analisis datatersebut di representasikan dalam bentuk laporan statistik dan dashboard, kemudian digunakan sebagai pendukungpengambilan keputusan akademik. Penelitian ini bertujuan merancang bangun sistem business intelligence universitassebagai pendukung pengambilan keputusan akademik pada Universitas Mulawarman berbasis web dengan OLAP. Penelitianini menghasilkan kerangka sistem dan web portal sistem business intelligence universitas yang diakses melalui browsersecara online. Business Intelligence dapat digunakan sebagai solusi untuk mempertimbangkan proses pengambilan keputusandalam pengelolaan universitas dan solusi dalam peningkatan kinerja pengelolaan akademik untuk mencapai keunggulanakademik.Kata kunci : Business Intelligence; Data warehouse; OLAP; KPI; Data mining

  20. Explanatory analysis in business intelligence systems

    NARCIS (Netherlands)

    Caron, E.A.M.; Daniëls, H.A.M.; Dinter, B.; Smolnik, S.

    2012-01-01

    In this paper we describe a method for the discovery of exceptional values in business intelligence (BI) systems, in particular OLAP information systems. We also show how exceptional values can be explained by underlying causes. OLAP applications offer a support tool for business analysts and

  1. The availability and use of competitive and business intelligence in ...

    African Journals Online (AJOL)

    Business intelligence (BI) plays a critical role in providing actionable intelligence to enable good business decision-making. International research shows clear evidence of the benefi ts of implementing sound. BI practices. However, within a South African business context, an understanding of the practice, impact and benefi ...

  2. BUSINESS INTELLIGENCE IN CLOUD

    OpenAIRE

    Celina M. Olszak

    2014-01-01

    . The paper reviews and critiques current research on Business Intelligence (BI) in cloud. This review highlights that organizations face various challenges using BI cloud. The research objectives for this study are a conceptualization of the BI cloud issue, as well as an investigation of some benefits and risks from BI cloud. The study was based mainly on a critical analysis of literature and some reports on BI cloud using. The results of this research can be used by IT and business leaders ...

  3. Nástroje Business Intelligence jako Open Source

    OpenAIRE

    Filipčík, Zdeněk

    2011-01-01

    This master's thesis focuses on the issues of selecting the Business Intelligence tools distributed under open source licenses. The main objective of this work is to compare the different instruments in all layers of the Business Intelligence architecture. The first part is focused on the definition of key concepts of the main topic. Provides necessary theoretical basis for understanding the context used in the practical part, which is dedicated to comparison tools realized according to the e...

  4. Harmonizing intelligence terminologies in business: Literature review

    Directory of Open Access Journals (Sweden)

    Sivave Mashingaidze

    2014-11-01

    Full Text Available The principal objective of this article is to do a literature review of different intelligence terminology with the aim of establishing the common attributes and differences, and to propose a universal and comprehensive definition of intelligence for common understanding amongst users. The findings showed that Competitive Intelligence has the broadest scope of intelligence activities covering the whole external operating environment of the company and targeting all levels of decision-making for instance; strategic intelligence, tactical intelligence and operative intelligence. Another terminology was found called Cyber IntelligenceTM which encompasses competitor intelligence, strategic intelligence, market intelligence and counterintelligence. In conclusion although CI has the broadest scope of intelligence and umbrella to many intelligence concepts, still Business Intelligence, and Corporate Intelligence are often used interchangeably as CI

  5. Business intelligence for insurance companies

    OpenAIRE

    IGNATIUK A.

    2016-01-01

    The current state and future trends for the world and domestic insurance markets are analyzed. The description of business intelligence methodology, tools and their practical implication for insurance companies are provided.

  6. Cloud Computing Boosts Business Intelligence of Telecommunication Industry

    Science.gov (United States)

    Xu, Meng; Gao, Dan; Deng, Chao; Luo, Zhiguo; Sun, Shaoling

    Business Intelligence becomes an attracting topic in today's data intensive applications, especially in telecommunication industry. Meanwhile, Cloud Computing providing IT supporting Infrastructure with excellent scalability, large scale storage, and high performance becomes an effective way to implement parallel data processing and data mining algorithms. BC-PDM (Big Cloud based Parallel Data Miner) is a new MapReduce based parallel data mining platform developed by CMRI (China Mobile Research Institute) to fit the urgent requirements of business intelligence in telecommunication industry. In this paper, the architecture, functionality and performance of BC-PDM are presented, together with the experimental evaluation and case studies of its applications. The evaluation result demonstrates both the usability and the cost-effectiveness of Cloud Computing based Business Intelligence system in applications of telecommunication industry.

  7. A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System

    Directory of Open Access Journals (Sweden)

    Chengqun Song

    2017-01-01

    Full Text Available Crowdsensing leverages human intelligence/experience from the general public and social interactions to create participatory sensor networks, where context-aware and semantically complex information is gathered, processed, and shared to collaboratively solve specific problems. This paper proposes a real-time projector-camera finger system based on the crowdsensing, in which user can interact with a computer by bare hand touching on arbitrary surfaces. The interaction process of the system can be completely carried out automatically, and it can be used as an intelligent device in intelligent transport system where the driver can watch and interact with the display information while driving, without causing visual distractions. A single camera is used in the system to recover 3D information of fingertip for hand touch detection. A linear-scanning method is used in the system to determine the touch for increasing the users’ collaboration and operationality. Experiments are performed to show the feasibility of the proposed system. The system is robust to different lighting conditions. The average percentage of correct hand touch detection of the system is 92.0% and the average time of processing one video frame is 30 milliseconds.

  8. Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agent’s Location Using Hidden Markov Models

    Directory of Open Access Journals (Sweden)

    Cédric Beaulac

    2017-01-01

    Full Text Available We propose to use a supervised machine learning technique to track the location of a mobile agent in real time. Hidden Markov Models are used to build artificial intelligence that estimates the unknown position of a mobile target moving in a defined environment. This narrow artificial intelligence performs two distinct tasks. First, it provides real-time estimation of the mobile agent’s position using the forward algorithm. Second, it uses the Baum–Welch algorithm as a statistical learning tool to gain knowledge of the mobile target. Finally, an experimental environment is proposed, namely, a video game that we use to test our artificial intelligence. We present statistical and graphical results to illustrate the efficiency of our method.

  9. Business Intelligence tools as an element of information supply system

    Directory of Open Access Journals (Sweden)

    Agnieszka Szmelter

    2013-12-01

    Full Text Available This paper aims to present theBusiness Intelligence toolsas an element improvingflow of information withinthe management information systemand as atool to facilitate theachieving the objectives ofinformation supply system.In the firstpart of the paperthe author presents the issuesrelatedto the specific character of information as a kind of resource and functioning ofthe information supply systemin the enterprise. The secondpart of the articleincludethe characteristics ofBusiness Intelligence systems. The thirdpart deals withthe impact ofBusiness Intelligence toolsto the ongoingactivities ofinformation supply system.

  10. THE COMBINED USE OF BUSINESS MANAGEMENT WITH FACILITY MANAGEMENT AS AN OPTION FOR INTELLIGENT BUILDING

    Directory of Open Access Journals (Sweden)

    Andreas Dittmar Weise

    2014-01-01

    Full Text Available Words like Business Management (BM and Facility Management (FM are well known as separate management methods. FM offers transparency about their property costs and exploitation, starting from the planning phase until its demolition. The investor sees this in the property invested capital and its recoverable yield. This means they also want a profit with their real estates. Besides this, changes in the social and environmental requirements become necessary to adapt the properties. The solution is called Intelligent Building. Its primary aim is to collect and select previous knowledge and information about Facility Management and Business Management. It is an application, mainly with sight to characterize and describe the possibilities of use of intelligent buildings as a combination of Facility and Business Management. This paper is an indirect survey carried out through a documental procedure in the form of a bibliographic research and theoretician study. Intelligent Building as combination of FM and BM is new, but in our times necessary to satisfy the needs of the demand. This type of building needs to be flexible in its structure and services, open for changes in environmental requirements, e.g. saving energy, and needs a lot of technology to realize their functions. Consequently, it will be sustainable for a value enhancement. With a Computer Aided Facilities Management system this is possible and the company will be more flexible in relation to the competitors and future changes.

  11. ECO-INTELLIGENT TOOLS – A NECESSITY FOR SUSTAINABLE BUSINESSES

    Directory of Open Access Journals (Sweden)

    S. Nate

    2014-04-01

    Full Text Available Many of the challenges associated with sustainable development can be traced in the way modern society produces and consumes. Production, distribution and supply of goods and services require material and energy consumption, having an impact on natural resources both quantitatively and qualitatively, generating waste, pollution and disrupting ecosystems. Ecobusiness intelligence is the capacity of people, processes and applications / tools to organize business information, to facilitate consistent access to them and analyse them in order to improve management decisions, for better performance management of the organizations that are increasingly pressed to synchronize their processes and services with a sustainable development agenda, through the development, testing and implementation of decision support software. By adopting sustainable practices, eco – intelligent companies can gain added value, increase market share and boost shareholder value. Moreover, the growing demand for "green" products has created new markets and the visionary entrepreneurs already reap the rewards of approaching sustainability. Large and small companies are learning that sustainable business practices not only help the environment but also can improve profitability by pursuing higher efficiency, fewer harmful side-effects, and better relationships with the community and more. Gaining competitive advantage is a core concern of the companies and the existence of systems of identification, extraction and analysis of available data in a company, but also from the external environment, to provide real support for business decisions, is an essential ingredient of success. This paper highlights the necessity of eco-intelligent tools that help determining the organization's strategies, identifying the perceptions and capabilities of the competitors, analyzing the effectiveness of current operations, deploying long-term prospects for environmental action and establishing

  12. Comparative Analysis of the Main Business Intelligence Solutions

    OpenAIRE

    Alexandra RUSANEANU

    2013-01-01

    Nowadays, Business Intelligence solutions are the main tools for analyzing and monitoring the company’s performance at any organizational level. This paper presents a comparative analysis of the most powerful Business Intelligence solutions using a set of technical features such as infrastructure of the platform, development facilities, complex analysis tools, interactive dashboards and scorecards, mobile integration and complex implementation of performance management methodologies.

  13. BUSINESS INTELLIGENCE FOR INSURANCE COMPANIES

    Directory of Open Access Journals (Sweden)

    A. Ignatiuk

    2016-06-01

    Full Text Available The current state and future trends for the world and domestic insurance markets are analyzed. The description of business intelligence methodology, tools and their practical implication for insurance companies are provided.

  14. Business Intelligence Modeling in Launch Operations

    Science.gov (United States)

    Bardina, Jorge E.; Thirumalainambi, Rajkumar; Davis, Rodney D.

    2005-01-01

    long-term benefits in support of the NASA objectives for simulation based acquisition, will improve the ability to assess architectural options verses safety/risk for future exploration systems, and will facilitate incorporation of operability as a systems design consideration, reducing overall life cycle cost for future systems. The future of business intelligence of space exploration will focus on the intelligent system-of-systems real-time enterprise. In present business intelligence, a number of technologies that are most relevant to space exploration are experiencing the greatest change. Emerging patterns of set of processes rather than organizational units leading to end-to-end automation is becoming a major objective of enterprise information technology. The cost element is a leading factor of future exploration systems.

  15. Business intelligence modeling in launch operations

    Science.gov (United States)

    Bardina, Jorge E.; Thirumalainambi, Rajkumar; Davis, Rodney D.

    2005-05-01

    The future of business intelligence in space exploration will focus on the intelligent system-of-systems real-time enterprise. In present business intelligence, a number of technologies that are most relevant to space exploration are experiencing the greatest change. Emerging patterns of set of processes rather than organizational units leading to end-to-end automation is becoming a major objective of enterprise information technology. The cost element is a leading factor of future exploration systems. This technology project is to advance an integrated Planning and Management Simulation Model for evaluation of risks, costs, and reliability of launch systems from Earth to Orbit for Space Exploration. The approach builds on research done in the NASA ARC/KSC developed Virtual Test Bed (VTB) to integrate architectural, operations process, and mission simulations for the purpose of evaluating enterprise level strategies to reduce cost, improve systems operability, and reduce mission risks. The objectives are to understand the interdependency of architecture and process on recurring launch cost of operations, provide management a tool for assessing systems safety and dependability versus cost, and leverage lessons learned and empirical models from Shuttle and International Space Station to validate models applied to Exploration. The systems-of-systems concept is built to balance the conflicting objectives of safety, reliability, and process strategy in order to achieve long term sustainability. A planning and analysis test bed is needed for evaluation of enterprise level options and strategies for transit and launch systems as well as surface and orbital systems. This environment can also support agency simulation based acquisition process objectives. The technology development approach is based on the collaborative effort set forth in the VTB's integrating operations, process models, systems and environment models, and cost models as a comprehensive disciplined

  16. Process mining : business intelligence software wordt eindelijk intelligent

    NARCIS (Netherlands)

    Aalst, van der W.M.P.

    2007-01-01

    Business Intelligence is een begrip dat verwijst naar software die gebruikt kan worden om gegevens over operationele bedrijfsprocessen te verzamelen en deze vervolgens te analyseren. Het doel van BI software is het verkrijgen van meer kennis en inzicht, welke gebruikt kunnen worden om processen

  17. A Real-Time Temperature Data Transmission Approach for Intelligent Cooling Control of Mass Concrete

    Directory of Open Access Journals (Sweden)

    Peng Lin

    2014-01-01

    Full Text Available The primary aim of the study presented in this paper is to propose a real-time temperature data transmission approach for intelligent cooling control of mass concrete. A mathematical description of a digital temperature control model is introduced in detail. Based on pipe mounted and electrically linked temperature sensors, together with postdata handling hardware and software, a stable, real-time, highly effective temperature data transmission solution technique is developed and utilized within the intelligent mass concrete cooling control system. Once the user has issued the relevant command, the proposed programmable logic controllers (PLC code performs all necessary steps without further interaction. The code can control the hardware, obtain, read, and perform calculations, and display the data accurately. Hardening concrete is an aggregate of complex physicochemical processes including the liberation of heat. The proposed control system prevented unwanted structural change within the massive concrete blocks caused by these exothermic processes based on an application case study analysis. In conclusion, the proposed temperature data transmission approach has proved very useful for the temperature monitoring of a high arch dam and is able to control thermal stresses in mass concrete for similar projects involving mass concrete.

  18. Teaching Business Intelligence through Case Studies

    Science.gov (United States)

    Pomykalski, James J.

    2015-01-01

    In teaching business students about the application and implementation of technology, especially involving business intelligence, it is important to discover that project success in enterprise systems development efforts often depend on the non-technological problems or issues. The focus of this paper will be on the use of multiple case studies in…

  19. Decision support, analytics, and business intelligence

    CERN Document Server

    Power, Daniel J

    2013-01-01

    Competition is becoming more intense and decision makers are encountering increasing complexity, rapid change, and higher levels of risk. In many situations, the solution is more and better computerized decision support, especially analytics and business intelligence. Today managers need to learn about and understand computerized decision support. If a business is to succeed, managers must know much more about information technology solutions. This second edition of a powerful introductory book is targeted at busy managers and MBA students who need to grasp the basics of computerized decision support, including the following: What are analytics? What is a decision support system? How can managers identify opportunities to create innovative computerized support? Inside, the author addresses these questions and some 60 more fundamental questions that are key to understanding the rapidly changing realm of computerized decision support. In a short period of time, you'll "get up to speed" on decision support, anal...

  20. Tapping the Vast Potential of the Data Deluge in Small-scale Food-Animal Production Businesses: Challenges to Near Real-time Data Analysis and Interpretation.

    Science.gov (United States)

    Vial, Flavie; Tedder, Andrew

    2017-01-01

    Food-animal production businesses are part of a data-driven ecosystem shaped by stringent requirements for traceability along the value chain and the expanding capabilities of connected products. Within this sector, the generation of animal health intelligence, in particular, in terms of antimicrobial usage, is hindered by the lack of a centralized framework for data storage and usage. In this Perspective, we delimit the 11 processes required for evidence-based decisions and explore processes 3 (digital data acquisition) to 10 (communication to decision-makers) in more depth. We argue that small agribusinesses disproportionally face challenges related to economies of scale given the high price of equipment and services. There are two main areas of concern regarding the collection and usage of digital farm data. First, recording platforms must be developed with the needs and constraints of small businesses in mind and move away from local data storage, which hinders data accessibility and interoperability. Second, such data are unstructured and exhibit properties that can prove challenging to its near real-time preprocessing and analysis in a sector that is largely lagging behind others in terms of computing infrastructure and buying into digital technologies. To complete the digital transformation of this sector, investment in rural digital infrastructure is required alongside the development of new business models to empower small businesses to commit to near real-time data capture. This approach will deliver critical information to fill gaps in our understanding of emerging diseases and antimicrobial resistance in production animals, eventually leading to effective evidence-based policies.

  1. Tapping the Vast Potential of the Data Deluge in Small-scale Food-Animal Production Businesses: Challenges to Near Real-time Data Analysis and Interpretation

    Directory of Open Access Journals (Sweden)

    Flavie Vial

    2017-09-01

    Full Text Available Food-animal production businesses are part of a data-driven ecosystem shaped by stringent requirements for traceability along the value chain and the expanding capabilities of connected products. Within this sector, the generation of animal health intelligence, in particular, in terms of antimicrobial usage, is hindered by the lack of a centralized framework for data storage and usage. In this Perspective, we delimit the 11 processes required for evidence-based decisions and explore processes 3 (digital data acquisition to 10 (communication to decision-makers in more depth. We argue that small agribusinesses disproportionally face challenges related to economies of scale given the high price of equipment and services. There are two main areas of concern regarding the collection and usage of digital farm data. First, recording platforms must be developed with the needs and constraints of small businesses in mind and move away from local data storage, which hinders data accessibility and interoperability. Second, such data are unstructured and exhibit properties that can prove challenging to its near real-time preprocessing and analysis in a sector that is largely lagging behind others in terms of computing infrastructure and buying into digital technologies. To complete the digital transformation of this sector, investment in rural digital infrastructure is required alongside the development of new business models to empower small businesses to commit to near real-time data capture. This approach will deliver critical information to fill gaps in our understanding of emerging diseases and antimicrobial resistance in production animals, eventually leading to effective evidence-based policies.

  2. The Audit of Business Intelligence Solutions

    Directory of Open Access Journals (Sweden)

    Bogdan GHILIC-MICU

    2010-01-01

    Full Text Available Although in this period humanity passes through a relative economic crisis, we all agree that our environment is that of a society of information and knowledge, based on communication and teleactivity, one that is also called information society. Every new form of activity in the information society has an associated informational component consisting in a software program, an application, a system, etc. It is a certainty that in the new economic environment it is necessary to adjust quickly to the opportunities of the market, through Business Process Reengineering, adoption of Business Intelligence solutions, implementation of complex automation applications like Enterprise Resource Planning. But, more than this, in, the digital economy the stress is put on the “label”, the “image”, the “brand”, and these features that are associated to organizations may be obtained by the information audit processes. The present study is focusing on the problem of information audit developed in one of the upper forms of manifestation of the information society in the field of changing the ways of doing business: Business Intelligence.

  3. Business Intelligence and Performance Management

    OpenAIRE

    TANASE, George Cosmin

    2015-01-01

    Globalisation, volatile markets, legal changes and technical progress have an immense impact on business environments in most industries. More and more IT is deployed to manage the complexity. As a result, companies and organisations have to handle growing volumes of data which have become a valuable asset. The ability to benefit from this asset is increasingly essential for business success. Therefore, fast storage, reliable data access, intelligent information retrieval, and new decision-ma...

  4. Business and Social Behaviour Intelligence Analysis Using PSO

    Directory of Open Access Journals (Sweden)

    Vinay S Bhaskar

    2014-06-01

    Full Text Available The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs and Particle Swarm Optimization (PSO algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As we know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and self-descriptive. From the experiments, we found that PSO is can facilitate the intelligence in social and business behaviour

  5. Ontology-Based Information Extraction for Business Intelligence

    Science.gov (United States)

    Saggion, Horacio; Funk, Adam; Maynard, Diana; Bontcheva, Kalina

    Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of building a complete end-to-end solution.

  6. Towards New Probabilistic Assumptions in Business Intelligence

    Directory of Open Access Journals (Sweden)

    Schumann Andrew

    2015-01-01

    Full Text Available One of the main assumptions of mathematical tools in science is represented by the idea of measurability and additivity of reality. For discovering the physical universe additive measures such as mass, force, energy, temperature, etc. are used. Economics and conventional business intelligence try to continue this empiricist tradition and in statistical and econometric tools they appeal only to the measurable aspects of reality. However, a lot of important variables of economic systems cannot be observable and additive in principle. These variables can be called symbolic values or symbolic meanings and studied within symbolic interactionism, the theory developed since George Herbert Mead and Herbert Blumer. In statistical and econometric tools of business intelligence we accept only phenomena with causal connections measured by additive measures. In the paper we show that in the social world we deal with symbolic interactions which can be studied by non-additive labels (symbolic meanings or symbolic values. For accepting the variety of such phenomena we should avoid additivity of basic labels and construct a new probabilistic method in business intelligence based on non-Archimedean probabilities.

  7. A study on the development of a real-time intelligent system for ultrasonic flaw classification

    International Nuclear Information System (INIS)

    Song, Sung Jin; Kim, Hak Joon; Lee, Hyun; Lee, Seung Seok

    1998-01-01

    In spite of significant progress in research on ultrasonic pattern recognition it is not widely used in many practical field inspection in weldments. For the convenience of field application of this methodology, following four key issues have to be suitably addressed; 1) a software where the ultrasonic pattern recognition algorithm is efficiently implemented, 2) a real-time ultrasonic testing system which can capture the digitized ultrasonic flaw signal so the pattern recognition software can be applied in a real-time fashion, 3) database of ultrasonic flaw signals in weldments, which is served as a foundation of the ultrasonic pattern recognition algorithm, and finally, 4) ultrasonic features which should be invariant to operational variables of the ultrasonic test system. Presented here is the recent progress in the development of a real-time ultrasonic flaw classification by the novel combination of followings; an intelligent software for ultrasonic flaw classification in weldments, a computer-base real-time ultrasonic nondestructive evaluation system, database of ultrasonic flaw signals, and invariant ultrasonic features called 'normalized features.'

  8. How business intelligence can improve value.

    Science.gov (United States)

    Moore, Keith D; Eyestone, Katie; Coddington, Dean C

    2012-10-01

    Case studies of three healthcare organizations reinforce the premise that business intelligence--the ability to convert data into actionable information for decision making--is critical to demonstrating improved value.

  9. Intelligent automation of high-performance liquid chromatography method development by means of a real-time knowledge-based approach.

    Science.gov (United States)

    I, Ting-Po; Smith, Randy; Guhan, Sam; Taksen, Ken; Vavra, Mark; Myers, Douglas; Hearn, Milton T W

    2002-09-27

    We describe the development, attributes and capabilities of a novel type of artificial intelligence system, called LabExpert, for automation of HPLC method development. Unlike other computerised method development systems, LabExpert operates in real-time, using an artificial intelligence system and design engine to provide experimental decision outcomes relevant to the optimisation of complex separations as well as the control of the instrumentation, column selection, mobile phase choice and other experimental parameters. LabExpert manages every input parameter to a HPLC data station and evaluates each output parameter of the HPLC data station in real-time as part of its decision process. Based on a combination of inherent and user-defined evaluation criteria, the artificial intelligence system programs use a reasoning process, applying chromatographic principles and acquired experimental observations to iteratively provide a regime for a priori development of an acceptable HPLC separation method. Because remote monitoring and control are also functions of LabExpert, the system allows full-time utilisation of analytical instrumentation and associated laboratory resources. Based on our experience with LabExpert with a wide range of analyte mixtures, this artificial intelligence system consistently identified in a similar or faster time-frame preferred sets of analytical conditions that are equal in resolution, efficiency and throughput to those empirically determined by highly experienced chromatographic scientists. An illustrative example, demonstrating the potential of LabExpert in the process of method development of drug substances, is provided.

  10. Aktuelles Schlagwort: Business Process Intelligence

    NARCIS (Netherlands)

    Mutschler, B.B.; Reichert, M.U.

    In jüngerer Vergangenheit rückt vermehrt die Erfassung und Analyse von Prozessechtdaten (z.B. zum Start und Ende von Prozessaktivitäten) in den Blickpunkt. Solche Daten werden von den meisten prozessorientierten Informationssystemen geliefert. Das Schlagwort Business Process Intelligence (BPI)

  11. Business intelligence and mobile technology research an information systems engineering perspective

    CERN Document Server

    Laouar, Mohamed Ridda

    2014-01-01

    All business organizations strive for increasing their growth by seizing new opportunities, reducing enterprise costs, attracting new customers and retaining old customers. In doing so, business intelligence and analytics allow business organizations to make better plans, informed decisions, and monitor their progress towards planned goals and objectives. The more disruptive power of IT technologies comes synergistically. Individual IT technologies do not work in isolation. Business intellige...

  12. An intelligent system for real time automatic defect inspection on specular coated surfaces

    Science.gov (United States)

    Li, Jinhua; Parker, Johné M.; Hou, Zhen

    2005-07-01

    Product visual inspection is still performed manually or semi automatically in most industries from simple ceramic tile grading to complex automotive body panel paint defect and surface quality inspection. Moreover, specular surfaces present additional challenge to conventional vision systems due to specular reflections, which may mask the true location of objects and lead to incorrect measurements. There are some sophisticated visual inspection methods developed in recent years. Unfortunately, most of them are highly computational. Systems built on those methods are either inapplicable or very costly to achieve real time inspection. In this paper, we describe an integrated low-cost intelligent system developed to automatically capture, extract, and segment defects on specular surfaces with uniform color coatings. The system inspects and locates regular surface defects with lateral dimensions as small as a millimeter. The proposed system is implemented on a group of smart cameras using its on-board processing ability to achieve real time inspection. The experimental results on real test panels demonstrate the effectiveness and robustness of proposed system.

  13. Emotional Intelligence and Cognitive Moral Development in Undergraduate Business Students

    Science.gov (United States)

    McBride, Elizabeth A.

    2010-01-01

    This study examines relationships between emotional intelligence (EI) and cognitive moral development (CMD) in undergraduate business students. The ability model of emotional intelligence was used in this study, which evaluated possible relationships between EI and CMD in a sample of 82 undergraduate business students. The sample population was…

  14. Development of Food Security Information System Based on Business Intelligence in Food Security Agency, Ministry of Agriculture, Indonesia

    OpenAIRE

    Hendrawaty, Manise; Harisno, Harisno

    2014-01-01

    Food is the main basic need of human, because of that fulfillment of human need of food has to be fulfilled. So it can fulfill that need, then government institution, Food Security Agency (BKP) is formed so it can monitor fulfillment of food need of society. The goals of this writing are to develop food security information system that provides dashboard facility based on business intelligence, to develop food security information system that can give fast, precise and real time information a...

  15. Model of key success factors for Business Intelligence implementation

    OpenAIRE

    Peter Mesaros; Tomas Mandicak; Daniela Mackova; Stefan Carnicky; Martina Habinakova; Marcela Spisakova

    2016-01-01

    New progressive technologies recorded growth in every area. Information-communication technologies facilitate the exchange of information and it facilitates management of everyday activities in enterprises. Specific modules (such as Business Intelligence) facilitate decision-making. Several studies have demonstrated the positive impact of Business Intelligence to decision-making. The first step is to put in place the enterprise. The implementation process is influenced by many factors. This a...

  16. Analyze of the Measuring Performance for Artificially Business Intelligent Systems

    OpenAIRE

    Vatuiu, Teodora

    2007-01-01

    This paper analyzes the measuring performance of artificially business intelligent systems. Thousands of persons-years have been devoted to the research and development in the vari¬ous aspects of artificially intelligent systems. Much progress has been attained. However, there has been no means of evaluating the progress of the field. How can we assess the cur¬rent state of the science? Most of business intelligent systems are beginning to be deployed commercially. How can a commercial buyer ...

  17. Como obter vantagem competitiva utilizando business intelligence?

    Directory of Open Access Journals (Sweden)

    Avanilde Kemczinski

    2003-03-01

    Full Text Available Este artigo tem por objetivo definir Business Intelligence e identificar as tecnologias de informação e comunicação que dão suporte a este tipo de sistema de informação. Faz-se uma contextualização sobre o conceito e as tipologias de sistemas de informação (SI. Data Warehouse, Data Mart e Data Mining são os recursos tecnológicos denominados de Back-end system, utilizados para armazenar dados relevantes e extrair padrões de comportamento e tendências dos processos organizacionais. Os DSS (Decision Support Systems, EIS (Executive Information Systems e ferramentas de OLAP (On-Line Analytical Processing são caracterizados como Front-end systems para os sistemas de Business Intelligence, requerendo-se ampla funcionalidade, flexibilidade e usabilidade para que o usuário possa fazer a transformação das informações em conhecimento estratégico que apóie a tomada de decisão organizacional, objetivando a vantagem competitiva. Palavras-chave: Sistemas de Informação, Business Intelligence, Data Mining, Data Warehouse, OLAP.

  18. The implementation of CMOS sensors within a real time digital mammography intelligent imaging system: The I-ImaS System

    Science.gov (United States)

    Esbrand, C.; Royle, G.; Griffiths, J.; Speller, R.

    2009-07-01

    The integration of technology with healthcare has undoubtedly propelled the medical imaging sector well into the twenty first century. The concept of digital imaging introduced during the 1970s has since paved the way for established imaging techniques where digital mammography, phase contrast imaging and CT imaging are just a few examples. This paper presents a prototype intelligent digital mammography system designed and developed by a European consortium. The final system, the I-ImaS system, utilises CMOS monolithic active pixel sensor (MAPS) technology promoting on-chip data processing, enabling the acts of data processing and image acquisition to be achieved simultaneously; consequently, statistical analysis of tissue is achievable in real-time for the purpose of x-ray beam modulation via a feedback mechanism during the image acquisition procedure. The imager implements a dual array of twenty 520 pixel × 40 pixel CMOS MAPS sensing devices with a 32μm pixel size, each individually coupled to a 100μm thick thallium doped structured CsI scintillator. This paper presents the first intelligent images of real breast tissue obtained from the prototype system of real excised breast tissue where the x-ray exposure was modulated via the statistical information extracted from the breast tissue itself. Conventional images were experimentally acquired where the statistical analysis of the data was done off-line, resulting in the production of simulated real-time intelligently optimised images. The results obtained indicate real-time image optimisation using the statistical information extracted from the breast as a means of a feedback mechanisms is beneficial and foreseeable in the near future.

  19. Design for interaction between humans and intelligent systems during real-time fault management

    Science.gov (United States)

    Malin, Jane T.; Schreckenghost, Debra L.; Thronesbery, Carroll G.

    1992-01-01

    Initial results are reported to provide guidance and assistance for designers of intelligent systems and their human interfaces. The objective is to achieve more effective human-computer interaction (HCI) for real time fault management support systems. Studies of the development of intelligent fault management systems within NASA have resulted in a new perspective of the user. If the user is viewed as one of the subsystems in a heterogeneous, distributed system, system design becomes the design of a flexible architecture for accomplishing system tasks with both human and computer agents. HCI requirements and design should be distinguished from user interface (displays and controls) requirements and design. Effective HCI design for multi-agent systems requires explicit identification of activities and information that support coordination and communication between agents. The effects are characterized of HCI design on overall system design and approaches are identified to addressing HCI requirements in system design. The results include definition of (1) guidance based on information level requirements analysis of HCI, (2) high level requirements for a design methodology that integrates the HCI perspective into system design, and (3) requirements for embedding HCI design tools into intelligent system development environments.

  20. REAL-TIME INTELLIGENT MULTILAYER ATTACK CLASSIFICATION SYSTEM

    Directory of Open Access Journals (Sweden)

    T. Subbhulakshmi

    2014-01-01

    Full Text Available Intrusion Detection Systems (IDS takes the lion’s share of the current security infrastructure. Detection of intrusions is vital for initiating the defensive procedures. Intrusion detection was done by statistical and distance based methods. A threshold value is used in these methods to indicate the level of normalcy. When the network traffic crosses the level of normalcy then above which it is flagged as anomalous. When there are occurrences of new intrusion events which are increasingly a key part of system security, the statistical techniques cannot detect them. To overcome this issue, learning techniques are used which helps in identifying new intrusion activities in a computer system. The objective of the proposed system designed in this paper is to classify the intrusions using an Intelligent Multi Layered Attack Classification System (IMLACS which helps in detecting and classifying the intrusions with improved classification accuracy. The intelligent multi layered approach contains three intelligent layers. The first layer involves Binary Support Vector Machine classification for detecting the normal and attack. The second layer involves neural network classification to classify the attacks into classes of attacks. The third layer involves fuzzy inference system to classify the attacks into various subclasses. The proposed IMLACS can be able to detect an intrusion behavior of the networks since the system contains a three intelligent layer classification and better set of rules. Feature selection is also used to improve the time of detection. The experimental results show that the IMLACS achieves the Classification Rate of 97.31%.

  1. Service-oriented business intelligence

    OpenAIRE

    Abelló Gamazo, Alberto; Romero Moral, Óscar

    2012-01-01

    The traditional way to manage Information Technologies (IT) in the companies is having a data center, and licensing monolithic applications based on the number of CPUs, allowed connections, etc. This also holds for Business Intelligence environments. Nevertheless, technologies have evolved and today other approaches are possible. Specifically, the service paradigm allows to outsource hardware as well as software in a pay-as-you-go model.

  2. A Proposed Business Intelligent Framework for Recommender Systems

    Directory of Open Access Journals (Sweden)

    Sitalakshmi Venkatraman

    2017-11-01

    Full Text Available In this Internet age, recommender systems (RS have become popular, offering new opportunities and challenges to the business world. With a continuous increase in global competition, e-businesses, information portals, social networks and more, websites are required to become more user-centric and rely on the presence and role of RS in assisting users in better decision making. However, with continuous changes in user interests and consumer behavior patterns that are influenced by easy access to vast information and social factors, raising the quality of recommendations has become a challenge for recommender systems. There is a pressing need for exploring hybrid models of the five main types of RS, namely collaborative, demographic, utility, content and knowledge based approaches along with advancements in Big Data (BD to become more context-aware of the technology and social changes and to behave intelligently. There is a gap in literature with a research focus in this direction. This paper takes a step to address this by exploring a new paradigm of applying business intelligence (BI concepts to RS for intelligently responding to user changes and business complexities. A BI based framework adopting a hybrid methodology for RS is proposed with a focus on enhancing the RS performance. Such a business intelligent recommender system (BIRS can adopt On-line Analytical Processing (OLAP tools and performance monitoring metrics using data mining techniques of BI to enhance its own learning, user profiling and predictive models for making a more useful set of personalised recommendations to its users. The application of the proposed framework to a B2C e-commerce case example is presented.

  3. Recognition and Ranking Critical Success Factors of Business Intelligence in Hospitals -- Case Study: Hasheminejad Hospital

    OpenAIRE

    Naderinejad, Marjan; Tarokh, Mohammad Jafar; Poorebrahimi, Alireza

    2014-01-01

    Business Intelligence, not as a tool of a product but as a new approach is propounded in organizations to make tough decisions in business as shortly as possible. Hospital managers often need business intelligence in their fiscal, operational, and clinical reports and indices. The main goal of recognition and ranking CSF is implementation of a business intelligent system in hospitals to increase success factor of application of business intelligence in health and treatment sector. This paper ...

  4. Visual business ecosystem intelligence: lessons from the field.

    Science.gov (United States)

    Basole, Rahul C

    2014-01-01

    Macroscopic insight into business ecosystems is becoming increasingly important. With the emergence of new digital business data, opportunities exist to develop rich, interactive visual-analytics tools. Georgia Institute of Technology researchers have been developing and implementing visual business ecosystem intelligence tools in corporate settings. This article discusses the challenges they faced, the lessons learned, and opportunities for future research.

  5. Business Sustainability and Collective Intelligence

    Science.gov (United States)

    Garrido, Paulo

    2009-01-01

    Purpose: The purpose of this paper is to analyze to which point collective intelligence (CI) concepts and ideas, as applied to organizations, can contribute to enlarge the conceptual basis for business sustainability (BS). Design/methodology/approach: The paper is written from an engineer-minded, systemic and cybernetic perspective. It begins by…

  6. Customer Data Analysis Model using Business Intelligence Tools in Telecommunication Companies

    Directory of Open Access Journals (Sweden)

    Monica LIA

    2015-10-01

    Full Text Available This article presents a customer data analysis model in a telecommunication company and business intelligence tools for data modelling, transforming, data visualization and dynamic reports building . For a mature market, knowing the information inside the data and making forecast for strategic decision become more important in Romanian Market. Business Intelligence tools are used in business organization as support for decision making.

  7. Como obter vantagem competitiva utilizando business intelligence

    Directory of Open Access Journals (Sweden)

    Avanilde Kemczinski

    2003-06-01

    Full Text Available The objective of this paper is to define Business Intelligence and to identify the information and communication technologies that support to this type of information system. A context is made about the concept and typologies of information systems (IS. Data Warehouse, Data Mart and Data Mining are the technological resources of Back-end system, used to store important data and to extract patterns of behavior and tendencies of the organizational processes. DSS (Decision Support Systems, EIS (Executive Information Systems and OLAP (On-Line Analytical Processing tools are Front-end systems for Business Intelligence solutions. Through these systems the user transforms the information in strategic knowledge for the obtaining competitive advantages.

  8. It's Just (Academic) Business: A Use Case in Improving Informatics Operations with Business Intelligence.

    Science.gov (United States)

    McIntosh, Leslie D; Zabarovskaya, Connie; Uhlmansiek, Mary

    2015-01-01

    Academic biomedical informatics cores are beholden to funding agencies, institutional administration, collaborating researchers, and external agencies for ongoing funding and support. Services provided and translational research outcomes are increasingly important to monitor, report and analyze, to demonstrate value provided to the organization and the greater scientific community. Thus, informatics operations are also business operations. As such, adopting business intelligence practices offers an opportunity to improve the efficiency of evaluation efforts while fulfilling reporting requirements. Organizing informatics development documentation, service requests, and work performed with adaptable tools have greatly facilitated these and related business activities within our informatics center. Through the identification and measurement of key performance indicators, informatics objectives and results are now quickly and nimbly assessed using dashboards. Acceptance of the informatics operation as a business venture and the adoption of business intelligence strategies has allowed for data-driven decision making, faster corrective action, and greater transparency for interested stakeholders.

  9. Business Intelligence v pojišťovnictví

    OpenAIRE

    Havránek, Denis

    2010-01-01

    The thesis focuses on the application of Business Intelligence technologies in the insurance area, aiming concretely at their use in insurance companies. The aim is to introduce and summarize the various processes and information needs that are part of an insurance company and the ways that business intelligence tools can support and improve those processes. To achieve this goal I describe and present the internal functioning of the main processes in insurance companies emphasizing on data ex...

  10. Using Business Analysis Software in a Business Intelligence Course

    Science.gov (United States)

    Elizondo, Juan; Parzinger, Monica J.; Welch, Orion J.

    2011-01-01

    This paper presents an example of a project used in an undergraduate business intelligence class which integrates concepts from statistics, marketing, and information systems disciplines. SAS Enterprise Miner software is used as the foundation for predictive analysis and data mining. The course culminates with a competition and the project is used…

  11. Business Intelligence a supporto del GIS: ultime novità dal mondo GFOSS

    Directory of Open Access Journals (Sweden)

    Fabio D'Ovidio

    2009-03-01

    Full Text Available GeoBI (GeoSpatial Business Intelligence open source projectGeoBI (GeoSpatial Business Intelligence, a new open source project coming from Italy, look at the Geographic Information Systems (GIS from a different point of view because it proposes to manage the alphanumeric component of cartographic data through Business Intelligence tools. This implies multidimensional webGIS usage in order to display charts, dials and diagrams on the map and spatially navigate OLAP cubes.

  12. Business Intelligence a supporto del GIS: ultime novità dal mondo GFOSS

    Directory of Open Access Journals (Sweden)

    Fabio D'Ovidio

    2009-03-01

    Full Text Available GeoBI (GeoSpatial Business Intelligence open source project GeoBI (GeoSpatial Business Intelligence, a new open source project coming from Italy, look at the Geographic Information Systems (GIS from a different point of view because it proposes to manage the alphanumeric component of cartographic data through Business Intelligence tools. This implies multidimensional webGIS usage in order to display charts, dials and diagrams on the map and spatially navigate OLAP cubes.

  13. MOOC de Introducción al Business intelligence

    OpenAIRE

    Masip Rodó, David; Garrigues Olivella, Carles; Guitart Hormigo, María Isabel; Rius Gavidia, Àngels; Minguillón Alfonso, Julià; Rodríguez González, M. Elena; Rodríguez Bermúdez, José Ramón; Pujol Jover, Maria; Conesa Caralt, Jordi; Marco Simó, Josep Maria

    2015-01-01

    Colección de vídeos docentes del MOOC de Introducción al Business intelligence que la Universitat Oberta de Catalunya. El Business Intelligence es uno de los puntales de la actual revolución tecnológica que estamos experimentando. La cantidad de datos generados por la sociedad de la información crece día a día, y seguirá creciendo gracias a la explosión de las redes sociales, las smarts cities, el big data, los dispositivos móviles, los sensores, etc. Este incremento exponencial del volumen d...

  14. BUSINESS INTELLIGENCE U FUNKCIJI OSTVARENJA KONKURENTNOSTI TURISTIČKIH PODUZEĆA

    OpenAIRE

    Stipanović, Christian

    2005-01-01

    Turistička poduzeća u dinamičkom procesu ostvarenja konkurentnosti moraju valorizirati nove inpute (znanje, intelektualni kapital) u generiranju prednosti (brzina, kvaliteta, cijena). Presudno je implementirati novu poslovnu filozofiju temeljenu na reinžinjeringu uz poticanje inovativnosti i intelektualnog kapitala kao ključne resurse i primjenu benehmarkinga i business intelligence. Business Intelligence predstavlja sveukupnost informacijske, spoznajne i akcijske osposobljenosti poduzeća kao...

  15. The Potential Role of Business Intelligence in Church Organizations

    Science.gov (United States)

    Felder, Charmaine

    2012-01-01

    Business intelligence (BI) involves transforming data into actionable information to make better business decisions that may help improve operations. Although businesses have experienced success with BI, how leaders of church organizations might be able to exploit the advantages of BI in church organizations remains largely unexplored. The purpose…

  16. Benefits of real-time gas management

    International Nuclear Information System (INIS)

    Nolty, R.; Dolezalek, D. Jr.

    1994-01-01

    In today's competitive gas gathering, processing, storage and transportation business environment, the requirements to do business are continually changing. These changes arise from government regulations such as the amendments to the Clean Air Act concerning the environment and FERC Order 636 concerning business practices. Other changes are due to advances in technology such as electronic flow measurement (EFM) and real-time communications capabilities within the gas industry. Gas gathering, processing, storage and transportation companies must be flexible in adapting to these changes to remain competitive. These dynamic requirements can be met with an open, real-time gas management computer information system. Such a system provides flexible services with a variety of software applications. Allocations, nominations management and gas dispatching are examples of applications that are provided on a real-time basis. By providing real-time services, the gas management system enables operations personnel to make timely adjustments within the current accounting period. Benefits realized from implementing a real-time gas management system include reduced unaccountable gas, reduced imbalance penalties, reduced regulatory violations, improved facility operations and better service to customers. These benefits give a company the competitive edge. This article discusses the applications provided, the benefits from implementing a real-time gas management system, and the definition of such a system

  17. Competent ownership in real estate business

    OpenAIRE

    Timo Sneck

    2001-01-01

    The real estate businessñproject Competent Ownership (Oskito)î focuses on the role of ownership within the real estate industry. Ownership acts as the core upon which , the competitive advantages of real estate industry are for the most based. The project studies specific real estate business issues, especially îentities of possessionî that are large enough to allow the development of specialised businesses. The project is of current interest as the next phase of growth of the Finnish informa...

  18. Business Intelligence: Magnum B.I.

    Science.gov (United States)

    Briggs, Linda L.

    2007-01-01

    Business intelligence (BI) tools offer schools the ability to look beyond a routine statistic, such as what percentage of students have passed a given test. Through data analysis, schools can view specific scores for a select group of students, for example, and compare that data to other groups, classes, or teachers. That is the kind of…

  19. Design and Delivery of Technical Module for the Business Intelligence Course

    Science.gov (United States)

    Wang, Shouhong; Wang, Hai

    2013-01-01

    IS programs are increasingly being called on to offer courses in business intelligence. This article presents the pedagogical design and the delivery method of a practicable technical module for a non-technically oriented Business Intelligence course. It is a tutorial for the instructors who wish to incorporate a practical technical element in…

  20. Business intelligence in the cloud

    Directory of Open Access Journals (Sweden)

    Willem J.J. Thompson

    2010-08-01

    Full Text Available Cloud computing has become an important topic to research because of the value it can provide to the business. In this article, the researcher examined how Business Intelligence (BI can be offered to the business over the Internet as a solution. BI environments, however, require a large capital layout to implement and support the large volumes of data that needs to be analysed to identify trends. It also requires enormous processing power which places pressure on the business resources. The goal of this article is to show how BI will be offered as a Software as a Service (SaaS solution to the business. The BI SaaS solution will allow companies to reduce cost of having a BI solution and also having access to the latest software which will give the business an edge on their competition. By making use of a literature review the researcher were able gather and present evidence to support the value that the BI SaaS solution will add to the business and how such a BI SaaS solution will look like. As part of this research paper the researcher will also identify the challenges that the business will face when making us a BI SaaS solution.

  1. Business intelligence in the cloud

    Directory of Open Access Journals (Sweden)

    Willem J.J. Thompson

    2010-12-01

    Full Text Available Cloud computing has become an important topic to research because of the value it can provide to the business. In this article, the researcher examined how Business Intelligence (BI can be offered to the business over the Internet as a solution. BI environments, however, require a large capital layout to implement and support the large volumes of data that needs to be analysed to identify trends. It also requires enormous processing power which places pressure on the business resources. The goal of this article is to show how BI will be offered as a Software as a Service (SaaS solution to the business. The BI SaaS solution will allow companies to reduce cost of having a BI solution and also having access to the latest software which will give the business an edge on their competition. By making use of a literature review the researcher were able gather and present evidence to support the value that the BI SaaS solution will add to the business and how such a BI SaaS solution will look like. As part of this research paper the researcher will also identify the challenges that the business will face when making us a BI SaaS solution.

  2. Extensions to the Parallel Real-Time Artificial Intelligence System (PRAIS) for fault-tolerant heterogeneous cycle-stealing reasoning

    Science.gov (United States)

    Goldstein, David

    1991-01-01

    Extensions to an architecture for real-time, distributed (parallel) knowledge-based systems called the Parallel Real-time Artificial Intelligence System (PRAIS) are discussed. PRAIS strives for transparently parallelizing production (rule-based) systems, even under real-time constraints. PRAIS accomplished these goals (presented at the first annual C Language Integrated Production System (CLIPS) conference) by incorporating a dynamic task scheduler, operating system extensions for fact handling, and message-passing among multiple copies of CLIPS executing on a virtual blackboard. This distributed knowledge-based system tool uses the portability of CLIPS and common message-passing protocols to operate over a heterogeneous network of processors. Results using the original PRAIS architecture over a network of Sun 3's, Sun 4's and VAX's are presented. Mechanisms using the producer-consumer model to extend the architecture for fault-tolerance and distributed truth maintenance initiation are also discussed.

  3. Implementing a Business Intelligence System for small and medium-sized enterprises

    OpenAIRE

    Sang, G.; Xu, Lai; de Vrieze, Paul Ton

    2016-01-01

    Over the years, Business Intelligence (BI) systems have become critically important to organizations due to the increasing fast-paced competition, the vast amount of daily generated data and the complexity of how to manage collected data. Business intelligence systems empower organizations to gain insights and to understand a clearer view of their vast data, business and customers, which help to make better decisions and hence produce better results and increase profit. BI refers to a collect...

  4. Application of Business Intelligence in the Banking Industry

    OpenAIRE

    Bogdan Ubiparipović; Emina Đurković

    2011-01-01

    A highly dynamic market, changing client demands, fierce competition, the necessity of strict control and risk management are only some of the characteristics of the business environment where modern banks conduct their operations. Better management and better decision-making process make the difference between the successful and the unsuccessful on the market with these characteristics.Business intelligence solutions for banks should provide the decision makers from all business segments of ...

  5. Characteristics of business intelligence and big data in e-government

    DEFF Research Database (Denmark)

    Gaardboe, Rikke; Jonasen, Tanja Svarre; Kanstrup, Anne Marie

    2015-01-01

    Business intelligence and big data represent two different technologies within decision support systems. The present paper concerns the two concepts within the context of e-government. Thus, the purpose of the paper is to present the preliminary findings regarding publication patterns and topic...... coverage within the two technologies by conducting a comparative literature review. A total of 281 papers published in the years 2005–2014 were included in the analysis. A rapid increase of papers regarding big data were identified, the majority being journal papers. As regards business intelligence......, researchers publish in conference proceedings to a greater extent. Further, big data journal papers are published within a broader range of journal topics compared to business intelligence journal papers. The paper concludes by pointing to further analyses that will be carried out within the 281 selected...

  6. Targeted business intelligence pays off.

    Science.gov (United States)

    Hennen, James

    2009-03-01

    Application business intelligence can accomplish much of what large-scale, enterprisewide efforts can accomplish: Focus on a variety of data that are interrelated in a meaningful way, Support decision making at multiple levels within a given organization, Leverage data that are already captured but not fully used, Provide actionable information and support quick response via a dashboard or control panel.

  7. Compiling models into real-time systems

    International Nuclear Information System (INIS)

    Dormoy, J.L.; Cherriaux, F.; Ancelin, J.

    1992-08-01

    This paper presents an architecture for building real-time systems from models, and model-compiling techniques. This has been applied for building a real-time model-based monitoring system for nuclear plants, called KSE, which is currently being used in two plants in France. We describe how we used various artificial intelligence techniques for building it: a model-based approach, a logical model of its operation, a declarative implementation of these models, and original knowledge-compiling techniques for automatically generating the real-time expert system from those models. Some of those techniques have just been borrowed from the literature, but we had to modify or invent other techniques which simply did not exist. We also discuss two important problems, which are often underestimated in the artificial intelligence literature: size, and errors. Our architecture, which could be used in other applications, combines the advantages of the model-based approach with the efficiency requirements of real-time applications, while in general model-based approaches present serious drawbacks on this point

  8. Compiling models into real-time systems

    International Nuclear Information System (INIS)

    Dormoy, J.L.; Cherriaux, F.; Ancelin, J.

    1992-08-01

    This paper presents an architecture for building real-time systems from models, and model-compiling techniques. This has been applied for building a real-time model-base monitoring system for nuclear plants, called KSE, which is currently being used in two plants in France. We describe how we used various artificial intelligence techniques for building it: a model-based approach, a logical model of its operation, a declarative implementation of these models, and original knowledge-compiling techniques for automatically generating the real-time expert system from those models. Some of those techniques have just been borrowed from the literature, but we had to modify or invent other techniques which simply did not exist. We also discuss two important problems, which are often underestimated in the artificial intelligence literature: size, and errors. Our architecture, which could be used in other applications, combines the advantages of the model-based approach with the efficiency requirements of real-time applications, while in general model-based approaches present serious drawbacks on this point

  9. Intelligent transportation systems business plan for Kentucky : final report.

    Science.gov (United States)

    2001-09-01

    This report presents a Business Plan for Intelligent Transportation Systems (ITS) in Kentucky. The purpose of the Business Plan is to define ITS projects that are planned for implementation from 2002 through 2007. The list of projects contained withi...

  10. Evaluating Business Intelligence/Business Analytics Software for Use in the Information Systems Curriculum

    Science.gov (United States)

    Davis, Gary Alan; Woratschek, Charles R.

    2015-01-01

    Business Intelligence (BI) and Business Analytics (BA) Software has been included in many Information Systems (IS) curricula. This study surveyed current and past undergraduate and graduate students to evaluate various BI/BA tools. Specifically, this study compared several software tools from two of the major software providers in the BI/BA field.…

  11. Start small and build toward business intelligence.

    Science.gov (United States)

    Kirby, Sean; Robertson, Brian

    2009-01-01

    To use business intelligence effectively, healthcare organizations should start small, align organizationally, and leverage success. Organizations should determine which measures they need and how to present them. Organizations should reinvest savings to continually improve.

  12. Applying business intelligence innovations to emergency management.

    Science.gov (United States)

    Schlegelmilch, Jeffrey; Albanese, Joseph

    2014-01-01

    The use of business intelligence (BI) is common among corporations in the private sector to improve business decision making and create insights for competitive advantage. Increasingly, emergency management agencies are using tools and processes similar to BI systems. With a more thorough understanding of the principles of BI and its supporting technologies, and a careful comparison to the business model of emergency management, this paper seeks to provide insights into how lessons from the private sector can contribute to the development of effective and efficient emergency management BI utilisation.

  13. Využití Business Intelligence

    OpenAIRE

    Doleček, Radek

    2017-01-01

    Abstract The goal of this bachelor thesis is try to refer to a rising trend of whole issue of Business Intelligence. An interdisciplinary approach to the company data analytics in various business and industry sectors has had rising tendency and there is a potential in many cases to effektively speed as well as to ease the position relating to the area of the field in which the leaders, managers or experienced users are capable of working on new strategies, leadership and controling and organ...

  14. Implementace Business Intelligence v poradenské společnosti

    OpenAIRE

    Filka, Zdeněk

    2010-01-01

    The main aim of this thesis is the proposal and implementation of the support of decision making with the help of Business Intelligence tools in Audit CI, company limited providing economic and financial consultancy. Business Intelligence tools are applied at the creation of reports which company provides for its clients in terms of its services. On the basis of these reports subsequently suggests recommendations in the field of finance and intradepartmental management. The whole thesis is di...

  15. Business Intelligence and Implementation in a Small Enterprise

    Directory of Open Access Journals (Sweden)

    Marketa Horakova

    2013-04-01

    Full Text Available Business Intelligence (BI systems provide users for information and analysis to better support with tactical and strategic business decision processes. This article summarizes the current trends in BI systems, discusses aspects of BI tools and BI solutions in small and medium businesses. Principles of integration of multidimensional views of business data with analytical and visualization tools are studied and described here. An example of a BI solution implementation in a small company shows how the multidimensional analytical data model and related applications can be designed, created and implemented for the small company.

  16. Financial intelligence of business process outsourcing professional in Davao City Philippines

    Directory of Open Access Journals (Sweden)

    Samantha Ferraren

    2016-12-01

    Full Text Available This research determined the financial intelligence using the Kiyosaki Cashflow Quadrant. The study employed the Kiyosaki Cashflow Quadrant to classify employees financial intelligence as likely to be an investor, big business owner, self-employed and employed. The Ordinal Regression was employed in determining the parameters of the chosen variables through Maximum Likelihood Estimation (MLE. The results showed that income is a significant factor in the financial intelligence of the Business Process Outsourcing (BPO employees; the higher the income the better is the financial intelligence. The type of BPO employer is a significantly determined by the degree of financial intelligence in the BPO employees in financial services had higher financial intelligence than that of non-financial services. There is a significant relationship between financial literacy and financial intelligence.Although, there were some rank and file employees who earned less, and they may be classified as investor because of their behavior towards money. Financial wellness program for BPO employees in financial and non-financial services alike was recommended to improve financial intelligence to be able to achieve financial freedom .

  17. FY1995 four-terminal-device intelligent LSI system for real-time event recognition; 1995 nendo shunji ninshiki kino wo motta 4 tanshi device chino LSI no kenkyu

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    Development of an intelligent LSI system having real-time response capability for real-word events. This is accomplished by enhancing the functionality of an elemental device, employing ultra-fine-grain parallelism and merging software directly in the LSI hardware. Intelligent functions are created directly on the LSI hardware, thus enabling real-time recognition by electronic systems. The origin of human intelligence lies in the huge memory data base acquired through one's life and the very fast search mechanism to recall the 'most similar' event to the current input. Based on this principle components of intelligent LSI systems have been developed. An analog EEPROM technology capable of storing 256 levels of data per cell without time-consuming write/verify operations has been developed. In situ monitoring of memory content during writing has allowed us high-accuracy data writing. A high-speed parallel-search engine for the minimum distance vector (an associator) has been developed using neuron MOS technology. The associator has been applied to the motion vector detector as an example, which has shown a very fast detection with an extremely simple hardware configuration. The association architecture has been applied to a real-time motion picture compression system, demonstrating three orders of magnitude higher performance than typical CISC processors (Pentium 166MHz). (NEDO)

  18. In-Memory Business Intelligence: Concepts and Performance

    Science.gov (United States)

    Rantung, V. P.; Kembuan, O.; Rompas, P. T. D.; Mewengkang, A.; Liando, O. E. S.; Sumayku, J.

    2018-02-01

    This research aims to discuss in-memory Business Intelligent (BI) and to model the business analysis questions to know the performance of the in-memory BI. By using, the Qlickview application found BI dashboards that easily accessed and modified. The dashboards are developed together using an agile development approach such as pre-study, planning, iterative execution, implementation, and evaluation. At the end, this research helping analyzer in choosing a right implementation for BI solution.

  19. HOW TO MAKE ANALYSIS WORK IN BUSINESS INTELLIGENCE SOFTWARE

    OpenAIRE

    Axner, Dr Lilit

    2009-01-01

    Competitive Intelligence (CI) has been defined by many authors. These definitions do have certain differences but all of them have a main common feature: They put the accent on the analysis. The most precise definition is given by the Society for Competitive Intelligence Professionals (SCIP): “A systematic and ethical program for gathering, analyzing, and managing external information that can affect your company’s plans, decisions, and operations”. Business Intelligence (BI) is much broader ...

  20. Business intelligence as a tool in the management academic

    Directory of Open Access Journals (Sweden)

    Juan Jose Camargo Vega

    2016-06-01

    Full Text Available This paper presents a study, analyze and evaluate characteristics of existing data in the academic community, in order to recommend a model to apply Business Intelligence. It starts from the assumption that knowing the effects on the academic community, if you have a corporate strategy to facilitate decision-making in educational institutions. The results are based on a three dimensional cube, which are combining strong to make decisions with the information made. Finally, we come to different conclusions enabling give sufficient grounds to recommend a model that Integrate Business Intelligence in the academic environment.

  1. Microsoft SQL Server 2014 Business Intelligence development beginner's guide

    CERN Document Server

    Rad, Reza

    2014-01-01

    Written in an easy-to-follow, example-driven format, there are plenty of step-by-step instructions to help get you started! The book has a friendly approach, with the opportunity to learn by experimenting.If you are a BI and Data Warehouse developer new to Microsoft Business Intelligence, and looking to get a good understanding of the different components of Microsoft SQL Server for Business Intelligence, this book is for you.It's assumed that you will have some experience in databases systems and T-SQL. This book is will give you a good upshot view of each component and scenarios featuring th

  2. Business Intelligence Success Factors

    DEFF Research Database (Denmark)

    Gaardboe, Rikke; Jonasen, Tanja Svarre

    2018-01-01

    Business intelligence (BI) is a strategically important practice in many organizations. Several studies have investigated the factors that contribute to BI success; however, an overview of the critical success factors (CSFs) involved is lacking in the extant literature. We have integrated...... 34 CSFs related to BI success. The distinct CSFs identified in the extant literature relate to project management skills (13 papers), management support (20 papers), and user involvement (11 papers). In the articles with operationalized BI success, we found several distinct factors: system quality...

  3. Business intelligence and performance management theory, systems and industrial applications

    CERN Document Server

    2013-01-01

    This book covers all the basic concepts of business intelligence and performance management including strategic support, business applications, methodologies and technologies from the field, and thoroughly explores the benefits, issues and challenges of each.

  4. Modeling the prediction of business intelligence system effectiveness.

    Science.gov (United States)

    Weng, Sung-Shun; Yang, Ming-Hsien; Koo, Tian-Lih; Hsiao, Pei-I

    2016-01-01

    Although business intelligence (BI) technologies are continually evolving, the capability to apply BI technologies has become an indispensable resource for enterprises running in today's complex, uncertain and dynamic business environment. This study performed pioneering work by constructing models and rules for the prediction of business intelligence system effectiveness (BISE) in relation to the implementation of BI solutions. For enterprises, effectively managing critical attributes that determine BISE to develop prediction models with a set of rules for self-evaluation of the effectiveness of BI solutions is necessary to improve BI implementation and ensure its success. The main study findings identified the critical prediction indicators of BISE that are important to forecasting BI performance and highlighted five classification and prediction rules of BISE derived from decision tree structures, as well as a refined regression prediction model with four critical prediction indicators constructed by logistic regression analysis that can enable enterprises to improve BISE while effectively managing BI solution implementation and catering to academics to whom theory is important.

  5. SOA enabled ELTA: approach in designing business intelligence solutions in Era of Big Data

    Directory of Open Access Journals (Sweden)

    Viktor Dmitriyev

    2015-01-01

    Full Text Available The current work presents a new approach for designing business intelligence solutions. In the Era of Big Data, former and robust analytical concepts and utilities need to adapt themselves to the changed market circumstances. The main focus of this work is to address the acceleration of building process of a “data-centric” Business Intelligence (BI solution besides preparing BI solutions for Big Data utilization. This research addresses the following goals: reducing the time spent during business intelligence solution’s design phase; achieving flexibility of BI solution by adding new data sources; and preparing BI solution for utilizing Big Data concepts. This research proposes an extension of the existing Extract, Load and Transform (ELT approach to the new one Extract, Load, Transform and Analyze (ELTA supported by service-orientation concept. Additionally, the proposed model incorporates Service-Oriented Architecture concept as a mediator for the transformation phase. On one side, such incorporation brings flexibility to the BI solution and on the other side; it reduces the complexity of the whole system by moving some responsibilities to external authorities.

  6. Návrh projektu business intelligence

    OpenAIRE

    Šídlo, Petr

    2007-01-01

    This dissertation titled Designing Project Business Intelligence focuses on data warehouse in a medium-sized company. The theoretical portion of the thesis describes the topic of data warehouse and dimensional modeling. In the first theoretical chapter, I compare and contrast two approaches to datawarehouse building - Bill Inmon's and Ralph Kimball's. Then, basic terminology used in the field, principles of dimensional modeling and various approaches of database use will be described. Further...

  7. A fuzzy TOPSIS model to evaluate the Business Intelligence competencies of Port Community Systems

    Directory of Open Access Journals (Sweden)

    Ghazanfari Mehdi

    2014-04-01

    Full Text Available Evaluation of the Business Intelligence (BI competencies of port community systems before they are bought and deployed is a vital importance for establishment of a decision-support environment for managers. This study proposes a new model which provides a simple approach to the assessment of the BI competencies of port community systems in organization. This approach helps decision-makers to select an enterprise system with appropriate intelligence requirements to support the managers’ decision-making tasks. Thirtyfour criteria for BI specifications are determined from a thorough review of the literature. The proposed model uses the fuzzy TOPSIS technique, which employs fuzzy weights of the criteria and fuzzy judgments of port community systems to compute the evaluation scores and rankings. The application of the model is realized in the evaluation, ranking and selecting of the needed port community systems in a port and maritime organization, in order to validate the proposed model with a real application. With utilizing the proposed model organizations can assess, select, and purchase port community systems which will provide a better decision-support environment for their business systems.

  8. THE NECESSITY OF INFORMATION QUALITY FOR EFFECTIVE BUSINESS INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    P.J. Conradie

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: Data quality, or rather the lack thereof, has been the downfall of many Data warehousing (DW / Business Intelligence (BI projects. The concept of Information Quality (IQ has become increasingly important as the popularity of Business Intelligence (BI increases. Industrial engineers have played a key role in the development and implementation of Total Quality Management (TQM principles that are widely used in the manufacturing environment. In the information era, industrial engineers can apply the same principles to data. This article aims to identify strategies and processes to improve IQ that will eventually lead to data warehouses with complete, accurate and timely data that consistently meets the requirements of knowledge workers in their quest to make improved business decisions.

    AFRIKAANSE OPSOMMING: Die gebrek aan datakwaliteit het al menige Databergings- en Besigheidsintelligensieprojekte laat sneuwel. Die konsep van Inligtingskwaliteit word al meer prominent soos die gewildheid van Besigheidsintelligensie toeneem. Bedryfsingenieurs het reeds ‘n sleutelrol gespeel in die ontwikkeling en implementering van Totale Kwaliteitsbestuurbeginsels wat algemeen in die vervaardigingsomgewing gebruik word. In die inligtingsera kan bedryfsingenieurs dieselfde beginsels ook op data toepas. Hierdie artikel identifiseer strategieë en prosesse om inligtingskwaliteit te verbeter wat uiteindelik behoort te lei tot datastore met volledige en akkurate data wat betyds en konsekwent aan kenniswerkers se behoeftes voldoen en hulle instaat stel om beter besigheidsbesluite te neem.

  9. Intelligent data management for real-time spacecraft monitoring

    Science.gov (United States)

    Schwuttke, Ursula M.; Gasser, Les; Abramson, Bruce

    1992-01-01

    Real-time AI systems have begun to address the challenge of restructuring problem solving to meet real-time constraints by making key trade-offs that pursue less than optimal strategies with minimal impact on system goals. Several approaches for adapting to dynamic changes in system operating conditions are known. However, simultaneously adapting system decision criteria in a principled way has been difficult. Towards this end, a general technique for dynamically making such trade-offs using a combination of decision theory and domain knowledge has been developed. Multi-attribute utility theory (MAUT), a decision theoretic approach for making one-time decisions is discussed and dynamic trade-off evaluation is described as a knowledge-based extension of MAUT that is suitable for highly dynamic real-time environments, and provides an example of dynamic trade-off evaluation applied to a specific data management trade-off in a real-world spacecraft monitoring application.

  10. Predicting Business Opportunities and/or Threats - Business Intelligence in the Service of Corporate Security (Empirical Analysis of the Usage in the Economy of Republic of Croatia)

    OpenAIRE

    Bilandžić, Mirko; Lucić, Danijela

    2014-01-01

    Predicting business opportunity sand risks is based on existing knowledge about them. In practice, this knowledge comes from collecting business information from the business environment, within the framework of something that is known as business intelligence (BI). Prediction of opportunities and risks is inherent in business of successful company. Corporate security as a framework for ensuring the safety of business is based on timely and accurate information that becomes foreknowledge of t...

  11. The Cluster Enterprise of Real Property Business

    DEFF Research Database (Denmark)

    Stubkjær, Erik

    2008-01-01

    others. The paper regards the domain of real property transactions. Drawing on research of European scope, it analyzes the framework of business processes in order to facilitate adoption of service oriented architectures. The paper motivates the notion of a ‘cluster enterprise' and identifies further......In order to apply the potential of available web technology, business processes must be described in a coherent way across organizational boundaries. Business processes include geographical data in the context of constructions, as well as environmental affairs and real property transactions, among...... steps towards a standardization of real estate business....

  12. FY1995 four-terminal-device intelligent LSI system for real-time event recognition; 1995 nendo shunji ninshiki kino wo motta 4 tanshi device chino LSI no kenkyu

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    Development of an intelligent LSI system having real-time response capability for real-word events. This is accomplished by enhancing the functionality of an elemental device, employing ultra-fine-grain parallelism and merging software directly in the LSI hardware. Intelligent functions are created directly on the LSI hardware, thus enabling real-time recognition by electronic systems. The origin of human intelligence lies in the huge memory data base acquired through one's life and the very fast search mechanism to recall the 'most similar' event to the current input. Based on this principle components of intelligent LSI systems have been developed. An analog EEPROM technology capable of storing 256 levels of data per cell without time-consuming write/verify operations has been developed. In situ monitoring of memory content during writing has allowed us high-accuracy data writing. A high-speed parallel-search engine for the minimum distance vector (an associator) has been developed using neuron MOS technology. The associator has been applied to the motion vector detector as an example, which has shown a very fast detection with an extremely simple hardware configuration. The association architecture has been applied to a real-time motion picture compression system, demonstrating three orders of magnitude higher performance than typical CISC processors (Pentium 166MHz). (NEDO)

  13. Microsoft SQL Server 2012 Business Intelligence ja sen tuomat uudistukset

    OpenAIRE

    Luoma, Lauri

    2013-01-01

    Insinöörityö käsittelee Metropolia Ammattikorkeakoulun Microsoft Business Intelligence (BI) ratkaisut -kurssilla käytetyn laboratoriomanuaalin MCTS Self-Paced Training Kit (Exam 70-448) -harjoituksien siirtämistä SQL Serverille 2012. Työllä on tarkoitus osoittaa, että SQL Server 2012 BI -työkalut soveltuvat harjoituksiin. Työssä siirrytään käyttämään uudempaa työkalua, SQL Server Data Toolsia, joka korvaa SQL Server 2008 R2 Business Intelligence Development Studion. Työn alussa tutust...

  14. THE BORDER BETWEEN BUSINESS INTELLIGENCE AND PSYCHOLOGY- SEGMENTATION BASED ON CUSTOMER BEHAVIOR

    Directory of Open Access Journals (Sweden)

    Student Codrin POPA

    2010-01-01

    Full Text Available In today’s economy, marketers have been facing two challenging trends: fierce competition between companies offering essentially similar products, and dealing with customers that are increasingly informed and demanding, but less and less loyal. Under these conditions, it has become imperative for managers and for marketing professionals to invest in business intelligence in order to find patterns in the consumers’ behavior that could predict their future buying decisions. In this report we have presented how Decision Support Systems, data analysis and customer segmentation can help companies to know their customers better in order to predict (and influence their future actions. At the same time, we have argued that Business Intelligence should meet psychology and neurology halfway, and accept that there is a very high emotional subconscious component that produces a high degree of unpredictability in consumers’ behavior.

  15. Creating Business Intelligence from Course Management Systems

    Science.gov (United States)

    van Dyk, Liezl; Conradie, Pieter

    2007-01-01

    Purpose: This article seeks to address the interface between individual learning facilitators that use course management systems (CMS) data to support decision-making and course design and institutional infrastructure providers that are responsible for institutional business intelligence. Design/methodology/approach: The design of a data warehouse…

  16. An Approach to quantify the Costs of Business Process Intelligence.

    NARCIS (Netherlands)

    Mutschler, B.B.; Bumiller, J.; Reichert, M.U.; Desel, J.; Frank, U.

    2005-01-01

    Today, enterprises are forced to continuously optimize their business as well as service processes. In this context the process-centered alignment of information systems is crucial. The use of business process intelligence (BPI) tools offers promising perspectives in this respect. However, when

  17. Real world evidence: a form of big data, transforming healthcare data into actionable real time insights and informed business decisions

    Directory of Open Access Journals (Sweden)

    Uttam Kumar Barick

    2015-09-01

    Full Text Available Data has always played an important role in assisting business decisions and overall improvement of a company’s strategies. The introduction of what has come to be named ‘BIG data’ has changed the industry paradigm altogether for a few domains like media, mobility, retail and social. Data from the real world is also considered as BIG data based on its magnitude, sources and the industry’s capacity to handle the same. Although, the healthcare industry has been using real world data for decades, digitization of health records has demonstrated its value to all the stakeholders with a reaffirmation of interest in it. Over time, companies are looking to adopt new technologies in linking these fragmented data for meaningful and actionable insights to demonstrate their value over competition. It has also been noticed that the consequences of not demonstrating the value of data are sometimes leads regulators and payers to be severe. The real challenge though is not in identifying data sets but transforming these data sets into actionable real time insights and business decisions. Evidence and value development frameworks need to work side by side, harnessing meaningful insights in parallel to product development from early phase to life-cycle management. This should in-turn create evidence and value-based insights for multiple stakeholders across the industry; ultimately supporting the patient as the end user to take informed decisions that impact access to care. This article attempts to review the current state of affairs in the area of BIG data in pharma OR BIG DIP as it is increasingly being referred to.

  18. Pervasive business intelligence: a marketing intelligence framework proposal

    OpenAIRE

    Guarda, Teresa Maria Gaspar dos Santos

    2015-01-01

    Doctoral Thesis in Information Systems and Technologies Area of Information Systems and Technology Nos últimos anos, o crescimento mundial desacelarou, os mercados têm amadurecido e tornaram-se mais competitivos. O impacto da computação nas organizações fez das tecnologias da informação um elemento estratégico para a aquisição e manutenção da vantagem competitiva, dependendo estas dos sistemas e ferramentas de Business Intelligence (BI). Hoje, a importância estratégica da in...

  19. Real-Time 3D Visualization

    Science.gov (United States)

    1997-01-01

    Butler Hine, former director of the Intelligent Mechanism Group (IMG) at Ames Research Center, and five others partnered to start Fourth Planet, Inc., a visualization company that specializes in the intuitive visual representation of dynamic, real-time data over the Internet and Intranet. Over a five-year period, the then NASA researchers performed ten robotic field missions in harsh climes to mimic the end- to-end operations of automated vehicles trekking across another world under control from Earth. The core software technology for these missions was the Virtual Environment Vehicle Interface (VEVI). Fourth Planet has released VEVI4, the fourth generation of the VEVI software, and NetVision. VEVI4 is a cutting-edge computer graphics simulation and remote control applications tool. The NetVision package allows large companies to view and analyze in virtual 3D space such things as the health or performance of their computer network or locate a trouble spot on an electric power grid. Other products are forthcoming. Fourth Planet is currently part of the NASA/Ames Technology Commercialization Center, a business incubator for start-up companies.

  20. Using OLAP Data Cubes in Business Intelligence

    Directory of Open Access Journals (Sweden)

    Cristescu Marian Pompiliu

    2016-12-01

    Full Text Available The purpose of this paper is to demonstrate that it is possible to develop business intelligence projects in big and medium-size organizations, only with Microsoft products, used in accordance with standard OLAP cube technology, and presented possible alternatives, in relation with the requested functions.

  1. PowerPivot for Business Intelligence Using Excel and SharePoint

    CERN Document Server

    Ralston, Barry

    2011-01-01

    PowerPivot comprises a set of technologies for easy access to data mining and business intelligence analysis from Microsoft Excel and SharePoint. Power users and developers alike can create sophisticated, online analytic processing (OLAP) solutions using PowerPivot for Excel, and then share those solutions with other users via PowerPivot for SharePoint. Data can be pulled in from any of the leading database platforms, as well as from spreadsheets and flat files. PowerPivot for Business Intelligence Using Excel and SharePoint is your key to mastering PowerPivot. The book takes a scenario-based

  2. Korrekt implementering af Business Intelligence skaber merværdi

    DEFF Research Database (Denmark)

    Gaardboe, Rikke; Fladkjær, Henrik Find; Nielsen, Christian

    2016-01-01

    I disse år fokuserer virksomheder på at implementere Business Intelligence (BI), så de stigende mængder af data og opsamlet forretningsinformation kan anvendes som ledelsesinformation. I denne artikel fokuseres på, hvordan virksomheder opnår merværdi ved implementering af BI, idet mange virksomhe......I disse år fokuserer virksomheder på at implementere Business Intelligence (BI), så de stigende mængder af data og opsamlet forretningsinformation kan anvendes som ledelsesinformation. I denne artikel fokuseres på, hvordan virksomheder opnår merværdi ved implementering af BI, idet mange...... virksomheder tilsyneladende har udfordringer med at opnå dette. Formålet er at analysere, hvordan virksomheder kan implementere Business Intelligence, således at de opnår merværdi. I artiklen udvikles en model for balanceret merværdi, hvor merværdien anskues på både organisations-, leder/beslutningstager- samt...... analyseres dette ud fra virksomhedernes modenhedsstadie, transformation fra data til analyse samt merværdi. Artiklens forskningsbidrag er en model til identifikation af dimensionaliseret merværdi, og artiklens bidrag til praksis er at analysere ud fra litteraturstudier, hvordan virksomheder kan opnå højere...

  3. Business intelligence from social media: a study from the VAST Box Office Challenge.

    Science.gov (United States)

    Lu, Yafeng; Wang, Feng; Maciejewski, Ross

    2014-01-01

    With over 16 million tweets per hour, 600 new blog posts per minute, and 400 million active users on Facebook, businesses have begun searching for ways to turn real-time consumer-based posts into actionable intelligence. The goal is to extract information from this noisy, unstructured data and use it for trend analysis and prediction. Current practices support the idea that visual analytics (VA) can help enable the effective analysis of such data. However, empirical evidence demonstrating the effectiveness of a VA solution is still lacking. A proposed VA toolkit extracts data from Bitly and Twitter to predict movie revenue and ratings. Results from the 2013 VAST Box Office Challenge demonstrate the benefit of an interactive environment for predictive analysis, compared to a purely statistical modeling approach. The VA approach used by the toolkit is generalizable to other domains involving social media data, such as sales forecasting and advertisement analysis.

  4. The Relationship between a Business Simulator, Constructivist Practices, and Motivation toward Developing Business Intelligence Skills

    Science.gov (United States)

    Lee, Hsun-Ming; Long, Ju; Visinescu, Lucian L.

    2016-01-01

    Developing Business Intelligence (BI) has been a top priority for enterprise executives in recent years. To meet these demands, universities need to prepare students to work with BI in enterprise settings. In this study, we considered a business simulator that offers students opportunities to apply BI and make top-management decisions in a system…

  5. The IPERMOB System for Effective Real-Time Road Travel Time Measurement and Prediction

    OpenAIRE

    Martelli, Francesca; Renda, Maria Elena; Santi, Paolo

    2010-01-01

    Accurate, real-time measurement and estimation of road travel time is considered a central problem in the design of advanced Intelligent Transportation Systems. In particular, whether eective, real-time collection of travel time measurements in a urban area is possible is, to the best of our knowledge, still an open problem. In this paper, we introduce the IPERMOB system for efficient, real-time collection of travel time measurements in urban areas through vehicular networks. We demonstrate t...

  6. The ‘magic square’: A roadmap towards emotional business intelligence

    OpenAIRE

    Terziyan, Vagan; Kaikova, Olena

    2015-01-01

    Emotions are known to be an important driver in human behaviour and decision-making. In the business world, there is a growing belief that emotions are not an obstacle but rather an enabler for a successful business. Business intelligence (by providing analytical processing and convenient presentation of a business data) traditionally supports rational decision-making. However, opposite to former opinion that all decisions should be ‘cleansed’ of emotions, there are more and more indicators o...

  7. Real-time variables dictionary (RTVD), and expert system for development of real-time applications in nuclear power plants

    International Nuclear Information System (INIS)

    Senra Martinez, A.; Schirru, R.; Dutra Thome Filho, Z.

    1990-01-01

    It is presented in this paper a computerized methodology based on a data dictionary managed by an expert system called Real-Time Variables Dictionary (RTVD). This system is very usefull for development of real-time applications in nuclear power plants. It is described in details the RTVD functions and its implantation in a VAX 8600 computer. It is also pointed out the concepts of artificial intelligence used in teh RTVD

  8. Measuring the Success of Changes to Existing Business Intelligence Solutions to Improve Business Intelligence Reporting

    OpenAIRE

    Dedić, Nedim; Stanier, Clare

    2016-01-01

    Evaluating the success of changes to an existing Business Intelligence (BI) environment means that there is a need to compare the level of user satisfaction with the original and amended versions of the application. The focus of this paper is on producing an evaluation tool, which can be used to measure the success of changes to existing BI solutions to support improved BI reporting. The paper identifies the users involved in the BI process and investigates what is meant by satisfaction in th...

  9. The NASA Program Management Tool: A New Vision in Business Intelligence

    Science.gov (United States)

    Maluf, David A.; Swanson, Keith; Putz, Peter; Bell, David G.; Gawdiak, Yuri

    2006-01-01

    This paper describes a novel approach to business intelligence and program management for large technology enterprises like the U.S. National Aeronautics and Space Administration (NASA). Two key distinctions of the approach are that 1) standard business documents are the user interface, and 2) a "schema-less" XML database enables flexible integration of technology information for use by both humans and machines in a highly dynamic environment. The implementation utilizes patent-pending NASA software called the NASA Program Management Tool (PMT) and its underlying "schema-less" XML database called Netmark. Initial benefits of PMT include elimination of discrepancies between business documents that use the same information and "paperwork reduction" for program and project management in the form of reducing the effort required to understand standard reporting requirements and to comply with those reporting requirements. We project that the underlying approach to business intelligence will enable significant benefits in the timeliness, integrity and depth of business information available to decision makers on all organizational levels.

  10. Návrh řešení Business Intelligence

    OpenAIRE

    Drdla, Tomáš

    2016-01-01

    Cílem diplomové práce je navrhnutí řešení Business Intelligence a zvážit jeho dopady na rozhodovací procesy, náklady na zavedení, celkový přínos pro firmu a dále vytvoření návrhu, který pomůže změnit nynější neuspokojivou situaci při práci s daty ve firmě JáNěkdo.CZ s.r.o. The aim of this thesis is to propose Business Intelligence solutions and consider its impact on decision-making, implementation costs, the overall contribution to the company and make a proposal that will help to change ...

  11. Návrh a implementace Business Intelligence systému

    OpenAIRE

    Škapa, Martin

    2009-01-01

    Cílem diplomové práce je navrhnutí řešení Business Intelligence na bázi nekomerčních technologií, zvážení jeho nákladů pro zavedení, zhodnocení ekonomického přínosu a návrh konečného východiska z momentálně neuspokojivého stavu nynějšího řešení ve firmě Fortemix s.r.o. Aim of master’s thesis is design of Business Intelligence solution based on non commercial technology, consideration of installation costs, estimation of economic benefits and designing of final solution of currently unsatis...

  12. Bitcoin IntelligenceBusiness Intelligence meets Crypto Currency

    Directory of Open Access Journals (Sweden)

    Horia Mircea BOTOŞ

    2017-10-01

    Full Text Available Bitcoin is a decentralized digital currency, which works peer-to-peer without a centralized repository, and is accepted as a form of payment all around the world. The “public ledger”, which registers transactions, is known as the block chain. A conventional ledger records bills and notes which are used by an organization, but in the case of Bitcoin these are simply data “entries” in the Blockchain sequence. Business Intelligence (BI, according to Investpedia, refers to the procedural and technical infrastructure that collect, store and analyses the data produced by a field of activities or by an individual company. BI is meant to take in all the data being generated by a business and present easy to digest performance measures and trends that will inform management decisions. The paper shows the BI steps and procedures that will help a Bitcoin user, owner or broker make the best decision possible in order to maximize their profits and financial security.

  13. Integration of real-time operational data in geographical information for power and gas business; Integrando em tempo real os dados operacionais aos sistemas geo referenciados do negocio gas e energia

    Energy Technology Data Exchange (ETDEWEB)

    Salcedo, Fernando Jose de Carvalho; Carvalho, Ronaldo Jose Seixas de [PETROBRAS, Rio de Janeiro, RJ (Brazil)

    2005-07-01

    The Strategical Management of Data and Information of the Gas e Energia, has as its being reason, the provision of right information, in the right place and in the right time, based on the correct sources, adding strategic value to Business. The SCADA systems (Supervisory Control and Data Acquisition), give to the Thermoelectrical Plant Operators and Electrical Transporting Operators the integration with the operational stations, measurement and energy delivery. The Geographical Information Systems - GIS, give the maps visualization with geopolitics aspects, gas pipeline infrastructure and satellite images. The Historical Data systems, have as its requirements the interface between many SCADA systems by means of accompaniment of historical data, real time data of the common variables of the process (outflow, pressure, temperature, egg.) and KPI's visualization - typical performance indicators of energy systems (non-availability, generation efficiency and distribution, egg.). Based on the business systemic vision, the Real-Time Enterprise Architecture - Real Time data integration and Performance Indicators based on the GIS software platform was developed in the Gas e Energia enterprise scenario. The present action has, as its focus, the dynamic visualization in real-time of the integrated data to the GIS infrastructure of the Gas Pipelines and Thermoelectrical Plants, guaranteeing the integrity, the audit trail of the information and a pro active vision for the Management of the Gas e Energia Business. (author)

  14. Integration of real-time operational data in geographical information for power and gas business; Integrando em tempo real os dados operacionais aos sistemas geo referenciados do negocio gas e energia

    Energy Technology Data Exchange (ETDEWEB)

    Salcedo, Fernando Jose de Carvalho; Carvalho, Ronaldo Jose Seixas de [PETROBRAS, Rio de Janeiro, RJ (Brazil)

    2005-07-01

    The Strategical Management of Data and Information of the Gas e Energia, has as its being reason, the provision of right information, in the right place and in the right time, based on the correct sources, adding strategic value to Business. The SCADA systems (Supervisory Control and Data Acquisition), give to the Thermoelectrical Plant Operators and Electrical Transporting Operators the integration with the operational stations, measurement and energy delivery. The Geographical Information Systems - GIS, give the maps visualization with geopolitics aspects, gas pipeline infrastructure and satellite images. The Historical Data systems, have as its requirements the interface between many SCADA systems by means of accompaniment of historical data, real time data of the common variables of the process (outflow, pressure, temperature, egg.) and KPI's visualization - typical performance indicators of energy systems (non-availability, generation efficiency and distribution, egg.). Based on the business systemic vision, the Real-Time Enterprise Architecture - Real Time data integration and Performance Indicators based on the GIS software platform was developed in the Gas e Energia enterprise scenario. The present action has, as its focus, the dynamic visualization in real-time of the integrated data to the GIS infrastructure of the Gas Pipelines and Thermoelectrical Plants, guaranteeing the integrity, the audit trail of the information and a pro active vision for the Management of the Gas e Energia Business. (author)

  15. Real-time operation guide system for sintering process with artificial intelligence

    Institute of Scientific and Technical Information of China (English)

    FAN Xiao-hui; CHEN Xu-ling; JIANG Tao; LI Tao

    2005-01-01

    In order to optimize the sintering process, a real-time operation guide system with artificial intelligence was developed, mainly including the data acquisition online subsystem, the sinter chemical composition controller, the sintering process state controller, and the abnormal conditions diagnosis subsystem. Knowledge base of the sintering process controlling was constructed, and inference engine of the system was established. Sinter chemical compositions were controlled by the strategies of self-adaptive prediction, internal optimization and center on basicity. And the state of sintering was stabilized centering on permeability. In order to meet the needs of process change and make the system clear, the system has learning ability and explanation function. The software of the system was developed in Visual C++ programming language. The application of the system shows that the hitting accuracy of sinter compositions and burning through point prediction are more than 85%; the first-grade rate of sinter chemical composition, stability rate of burning through point and stability rate of sintering process are increased by 3%, 9% and 4%, respectively.

  16. An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors

    Science.gov (United States)

    Walker, Karen M.

    2017-01-01

    Business intelligence (BI) maturity for small and medium-sized enterprises (SMEs) is significantly behind larger companies that utilize BI solutions. Successful data oriented business environments require knowledge and insight to understand organizational capabilities. This quantitative correlational study assessed the relationship between…

  17. Cybernetic Security and Business Intelligence in the System of Diagnostics of Economic Security of the Enterprise

    Directory of Open Access Journals (Sweden)

    Ruslan Skrynkovskyy

    2017-10-01

    Full Text Available The purpose of the article is to determine the place, the role and features of cybernetic security and improve the business intelligence scheme in the system of diagnosing economic security of the enterprise. It had been found out that: 1 the term “cybernetic security of an enterprise” should be understood as the state of the protection of the cybernetic space of the whole enterprise or individual objects of its information infrastructure (computer system, computer data, etc. from the risk of external cybernetic influence, which ensures their sustainable development and the formation of prospects, as well as timely detection, prevention and neutralization of real and potential cybernetic interruptions and threats to the interests of the enterprise; 2 the main components of cybernetic security in the system of diagnostics of economic security of the enterprise are: investigation of information and telecommunication systems and cryptosystems of the opposing sides; cybernetic effects; protection of information sphere. It was established that the main task of business intelligence in the system of diagnosing economic security of the enterprise is the verification of the reliability of business information, the provision of cybernetic protection of information resources, information and communication technologies and systems and the elimination of the possibility of misinformation of senior management by the managers of the middle level, suppliers, marketing intermediaries, clientele, competitors or contact audiences of the enterprise. The prospect of further research in this direction is the development of a system of goals of the polycriterial diagnostics of the activity (economic diagnostics of the enterprise (on the basis of the isolation and systematization of its diagnostic purposes, taking into account the presented results of the study.

  18. APLIKASI BUSINESS INTELLIGENCE UNTUK ANALISA DAN PRAKIRAAN CUACA MARITIM

    Directory of Open Access Journals (Sweden)

    Subekti Mujiasih

    2015-01-01

    Full Text Available Salah satu teknologi yang dapat mewujudkan kecepatan dan kemudahan analisa data adalah Business Intelligence (BI. Teknologi ini dapat menampilkan data dalam bentuk grafik yang bersifat multidimensi, sehingga dapat dilakukan pemilihan informasi sesuai kebutuhan. Aplikasi BI yang dibangun tidak hanya membuat tampilan berbagai komponen cuaca dalam bentuk grafik/dashboard, tetapi juga suatu gudang data. Dalam proses pembuatan informasi prakiraan cuaca maritim diperlukan banyak komponen data, diantaranya arah dan tinggi gelombang, arah dan kecepatan angin, pasang surut dan swell. Data tersebut diintegrasikan dalam bentuk data warehouse secara multidimensi melalui dimensi waktu dan lokasi. Data warehouse yang dikembangkan untuk mendukung model BI hanya yang bersifat deparmental, yaitu berbentuk datamart. Aplikasi BI yang dikembangkan meliputi aplikasi ETL dan aplikasi Dashboard dengan memanfaatkan perangkat lunak Visual Studio 2008, SQL Server Database dan Analysis Services 2008. Aplikasi ini menyediakan kemudahan dan kecepatan dalam melakukan pencarian, pemilihan dan analisa data. Trend data yang dihasilkan dari proses tersebut menjadi pengontrol range nilai prediksi cuaca maritim.   One technology that can realize rapidity and simplicity of data analysis is Business Intelligence. This technology can present multidimensional data both in graphical and spatial form, so selecting the information as needed will easily be done. The developed BI is not only graphical product but also data warehouse. In the process of providing marine weather forecast information it requires many components of data including wave direction and height, wind direction and speed, tides and swell. These data are integrated in a multidimensional form of Data warehouse through the dimension of time and location. The developed data warehouse for supporting the model of Business Intelligence is datamart that covers only one division. The resulted BI includes ETL application and

  19. Bringing Business Intelligence to Health Information Technology Curriculum

    Science.gov (United States)

    Zheng, Guangzhi; Zhang, Chi; Li, Lei

    2015-01-01

    Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health…

  20. Editorial: "Business process intelligence : connecting data and processes"

    NARCIS (Netherlands)

    Aalst, van der W.M.P.; Zhao, J.L.; Wang, H.; Wang, Harry Jiannan

    2015-01-01

    This introduction to the special issue on Business Process Intelligence (BPI) discusses the relation between data and processes. The recent attention for Big Data illustrates that organizations are aware of the potential of the torrents of data generated by today's information systems. However, at

  1. Video Analytics for Business Intelligence

    CERN Document Server

    Porikli, Fatih; Xiang, Tao; Gong, Shaogang

    2012-01-01

    Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the sho...

  2. International Real Business Cycles

    OpenAIRE

    Mario J. Crucini

    2006-01-01

    This paper is a non-technical review of research developments in the international real business cycle literature. International business cycle facts are summarize with particular attention to the sources of output variance from the expenditure side of the NIPA and the production side, using a familiar neoclassical production function. Theoretical developments focus on the how consumption smoothing and investment dynamics shape the current account; the search for sources and propagation mecha...

  3. Time-series prediction and applications a machine intelligence approach

    CERN Document Server

    Konar, Amit

    2017-01-01

    This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating business environments. It employs machine learning to determine repetitively occurring similar structural patterns in the time-series and uses stochastic automaton to predict the most probabilistic structure at a given partition of the time-series. Such predictions help in determining probabilistic moves in a stock index time-series Primarily written for graduate students and researchers in computer science, the book is equally useful for researchers/professionals in business intelligence and stock index prediction. A background of undergraduate level mathematics is presumed, although not mandatory, for most of the sections. Exercises with tips are provided at...

  4. The Challenges of Teaching Business Analytics: Finding Real Big Data for Business Students

    Science.gov (United States)

    Yap, Alexander Y.; Drye, Sherrie L.

    2018-01-01

    This research shares the challenges of bringing in real-world big business data into the classroom so students can experience how today's business decisions can improve with the strategic use of data analytics. Finding a true big data set that provides real world business transactions and operational data has been a challenge for academics…

  5. Trendy v Business Intelligence

    OpenAIRE

    Meloun, Jaroslav

    2017-01-01

    The main goal and contribution of this Bachelor thesis is to analyse and compare Business Intelligence (BI) solutions according to the actual trends in order to help a potential customer to select a suitable BI solution. Firstly, the minor goals are achieved: the basic theoretical knowledge about BI (definition of BI, a general architecture and components of BI) is provided to a reader, actual BI trends are identified and a current BI market is analysed. Next, the criteria are set and the ana...

  6. The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model.

    Science.gov (United States)

    Liu, Tongzhu; Shen, Aizong; Hu, Xiaojian; Tong, Guixian; Gu, Wei

    2017-06-01

    We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers.

  7. Intelligent systems in oil field development under uncertainty

    Energy Technology Data Exchange (ETDEWEB)

    Pacheco, Marco A.C.; Vellasco, Marley M.B.R. (eds.) [PUC-Rio, Rio de Janeiro (Brazil). Dept. of Electrical Engineering

    2009-07-01

    Intelligent Systems use a range of methodologies for analysis, pre-processing, storage, organization, enhancing and mining of operational data, turning it into useful information and knowledge for decision makers in business enterprises. These intelligent technologies for decision support have been used with success by companies and organizations that are looking for competitive advantages whenever the issues on forecast, optimization, risks analysis, fraud detection, and decision under uncertainties are presented. Intelligent Systems (IS) offer to managers and decision makers the best solutions for complex applications, normally considered difficult, very restrictive or even impossible. The use of such techniques leads to a revolutionary process which has a significant impact in the business management strategy, by providing on time, correct information, ready to use. Computational intelligence techniques, especially genetic algorithms, genetic programming, neural networks, fuzzy logic and neuro-fuzzy as well as modern finance theories, such as real options theory, are here presented and exemplified in oil and gas exploitation and production. This book is addressed to executives and students, directly involved or interested in intelligent management in different fields. (orig.)

  8. Towards a value model for collaborative, business intelligence-supported risk assessment

    NARCIS (Netherlands)

    Liu, L.; Daniëls, H.A.M.; Johannesson, P.

    2012-01-01

    Collaborative business intelligence supports risk assessment and in return enhances management control on a business network. Nonetheless, it needs an incentive basis in the first place before it can be implemented, that is, the value model. Starting from the managerial challenges which arise from

  9. The Development of Financial Information System and Business Intelligence Using Data Mining Concepts

    OpenAIRE

    PVD PRASAD

    2014-01-01

    One of the most emerging technologies is finance, becoming more amenable to data-driven modeling as large sets of financial data become available everywhere. So we are applying the data mining techniques in financial information system with Business Intelligence. A Business Intelligence System (BIS) can be described as an interactive, computer-based system designed to help decision-makers to solve unstructured problems. Using a combination of models, analytical techniques, and...

  10. From Management Information Systems to Business Intelligence: The Development of Management Information Needs

    Directory of Open Access Journals (Sweden)

    Gėlytė Kazakevičienė

    2013-09-01

    Full Text Available Despite the advances in IT, information systems intended for management informing did not uniformly fulfil the increased expectations of users; this can be said mostly about complex information needs. Although some of the technologies for supporting complicated insights, like management decision support systems and technologies, experienced reduction in interest both from researchers and practitioners, this did not reduce the importance of well-supported business informing and decision making. Being attributed to the group of intelligent systems and technologies, decision support (DS technologies have been largely supplemented by business intelligence (BI technologies. Both types of technologies are supported by respective information technologies, which often appear to be quite closely related. The objective of this paper is to define relations between simple and complex informing intended to satisfy different sets of needs and provided by different sets of support tools. The paper attempts to put together decision support and business intelligence technologies, based on common goals of sense-making and use of advanced analytical tools. A model of two interconnected cycles has been developed to relate the activities of decision support and business intelligence. Empirical data from earlier research is used to direct possible further insights into this area.

  11. Depending on Data: Business Intelligence Systems Drive Reform

    Science.gov (United States)

    Halligan, Tom

    2010-01-01

    As more community colleges focus on using data to improve educational outcomes, many administrators are considering business intelligence applications that promise a path toward more informed decisions. Getting there, leaders say, requires more than installing some out-of-the-box solution; it requires changing the culture and finding skilled…

  12. Event Detection Intelligent Camera: Demonstration of flexible, real-time data taking and processing

    Energy Technology Data Exchange (ETDEWEB)

    Szabolics, Tamás, E-mail: szabolics.tamas@wigner.mta.hu; Cseh, Gábor; Kocsis, Gábor; Szepesi, Tamás; Zoletnik, Sándor

    2015-10-15

    Highlights: • We present EDICAM's operation principles description. • Firmware tests results. • Software test results. • Further developments. - Abstract: An innovative fast camera (EDICAM – Event Detection Intelligent CAMera) was developed by MTA Wigner RCP in the last few years. This new concept was designed for intelligent event driven processing to be able to detect predefined events and track objects in the plasma. The camera provides a moderate frame rate of 400 Hz at full frame resolution (1280 × 1024), and readout of smaller region of interests can be done in the 1–140 kHz range even during exposure of the full image. One of the most important advantages of this hardware is a 10 Gbit/s optical link which ensures very fast communication and data transfer between the PC and the camera, enabling two level of processing: primitive algorithms in the camera hardware and high-level processing in the PC. This camera hardware has successfully proven to be able to monitoring the plasma in several fusion devices for example at ASDEX Upgrade, KSTAR and COMPASS with the first version of firmware. A new firmware and software package is under development. It allows to detect predefined events in real time and therefore the camera is capable to change its own operation or to give warnings e.g. to the safety system of the experiment. The EDICAM system can handle a huge amount of data (up to TBs) with high data rate (950 MB/s) and will be used as the central element of the 10 camera overview video diagnostic system of Wendenstein 7-X (W7-X) stellarator. This paper presents key elements of the newly developed built-in intelligence stressing the revolutionary new features and the results of the test of the different software elements.

  13. Sharing adverse drug event data using business intelligence technology.

    Science.gov (United States)

    Horvath, Monica M; Cozart, Heidi; Ahmad, Asif; Langman, Matthew K; Ferranti, Jeffrey

    2009-03-01

    Duke University Health System uses computerized adverse drug event surveillance as an integral part of medication safety at 2 community hospitals and an academic medical center. This information must be swiftly communicated to organizational patient safety stakeholders to find opportunities to improve patient care; however, this process is encumbered by highly manual methods of preparing the data. Following the examples of other industries, we deployed a business intelligence tool to provide dynamic safety reports on adverse drug events. Once data were migrated into the health system data warehouse, we developed census-adjusted reports with user-driven prompts. Drill down functionality enables navigation from aggregate trends to event details by clicking report graphics. Reports can be accessed by patient safety leadership either through an existing safety reporting portal or the health system performance improvement Web site. Elaborate prompt screens allow many varieties of reports to be created quickly by patient safety personnel without consultation with the research analyst. The reduction in research analyst workload because of business intelligence implementation made this individual available to additional patient safety projects thereby leveraging their talents more effectively. Dedicated liaisons are essential to ensure clear communication between clinical and technical staff throughout the development life cycle. Design and development of the business intelligence model for adverse drug event data must reflect the eccentricities of the operational system, especially as new areas of emphasis evolve. Future usability studies examining the data presentation and access model are needed.

  14. A Real-Time Embedded Control System for Electro-Fused Magnesia Furnace

    Directory of Open Access Journals (Sweden)

    Fang Zheng

    2013-01-01

    Full Text Available Since smelting process of electro-fused magnesia furnace is a complicated process which has characteristics like complex operation conditions, strong nonlinearities, and strong couplings, traditional linear controller cannot control it very well. Advanced intelligent control strategy is a good solution to this kind of industrial process. However, advanced intelligent control strategy always involves huge programming task and hard debugging and maintaining problems. In this paper, a real-time embedded control system is proposed for the process control of electro-fused magnesia furnace based on intelligent control strategy and model-based design technology. As for hardware, an embedded controller based on an industrial Single Board Computer (SBC is developed to meet industrial field environment demands. As for software, a Linux based on Real-Time Application Interface (RTAI is used as the real-time kernel of the controller to improve its real-time performance. The embedded software platform is also modified to support generating embedded code automatically from Simulink/Stateflow models. Based on the proposed embedded control system, the intelligent embedded control software of electro-fused magnesium furnace can be directly generated from Simulink/Stateflow models. To validate the effectiveness of the proposed embedded control system, hardware-in-the-loop (HIL and industrial field experiments are both implemented. Experiments results show that the embedded control system works very well in both laboratory and industry environments.

  15. Next-generation business intelligence software with Silverlight 3

    CERN Document Server

    Czernicki, Bart

    2010-01-01

    Business Intelligence (BI) software is the code and tools that allow you to view different components of a business using a single visual platform, making comprehending mountains of data easier. Applications that include reports, analytics, statistics, and historical and predictive modeling are all examples of BI applications. Currently, we are in the second generation of BI software, called BI 2.0. This generation is focused on writing BI software that is predictive, adaptive, simple, and interactive. As computers and software have evolved, more data can be presented to end users with increas

  16. Using Genetic Algorithms in Secured Business Intelligence Mobile Applications

    Directory of Open Access Journals (Sweden)

    Silvia TRIF

    2011-01-01

    Full Text Available The paper aims to assess the use of genetic algorithms for training neural networks used in secured Business Intelligence Mobile Applications. A comparison is made between classic back-propagation method and a genetic algorithm based training. The design of these algorithms is presented. A comparative study is realized for determining the better way of training neural networks, from the point of view of time and memory usage. The results show that genetic algorithms based training offer better performance and memory usage than back-propagation and they are fit to be implemented on mobile devices.

  17. A Few Implementation Solutions for Business Intelligence

    Directory of Open Access Journals (Sweden)

    Gheorghe MATEI

    2008-01-01

    Full Text Available To succeed in the context of a global and dynamic economic environment, the companies must use all the information they have, as efficiently as possible, in order to gain competitive advantages and to consolidate their position on the market. They have to respond quickly to the changes in the business environment and to adapt themselves to the market’s requirements. To achieve these goals, the companies must use modern informatics technologies for data acquiring, storing, accessing and analyzing. These technologies are to be integrated into innovative solutions, such as Business Intelligence systems, which can help managers to better control the business practices and processes, to improve the company’s performance and to conserve it’s competitive advantages.

  18. A Windows Phone 7 Oriented Secure Architecture for Business Intelligence Mobile Applications

    Directory of Open Access Journals (Sweden)

    Silvia TRIF

    2011-01-01

    Full Text Available This paper present and implement a Windows Phone 7 Oriented Secure Architecture for Business Intelligence Mobile Application. In the developing process is used a Windows Phone 7 application that interact with a WCF Web Service and a database. The types of Business Intelligence Mobile Applications are presented. The Windows mobile devices security and restrictions are presented. The namespaces and security algorithms used in .NET Compact Framework for assuring the application security are presented. The proposed architecture is showed underlying the flows between the application and the web service.

  19. Commitment to the Study of International Business and Cultural Intelligence: A Multilevel Model

    Science.gov (United States)

    Ramsey, Jase R.; Barakat, Livia L.; Aad, Amine Abi

    2014-01-01

    Adopting a multilevel theoretical framework, we examined how metacognitive and motivational cultural intelligence influence an individual's commitment to the study of international business (IB). Data from 292 undergraduate and graduate business students nested in 12 U.S. business school classes demonstrated that individuals' metacognitive and…

  20. Business intelligence and service-oriented architecture: a Delphi study

    NARCIS (Netherlands)

    Mueller, Roland; Linders, Stefan; Ferreira Pires, Luis

    Although service-oriented architecture (SOA) is becoming increasingly popular in enterprise application rchitectures, little is known about how SOA could support and influence the use and implementation of business intelligence (BI). We applied the Delphi method in order to identify opportunities

  1. The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model

    Science.gov (United States)

    LIU, Tongzhu; SHEN, Aizong; HU, Xiaojian; TONG, Guixian; GU, Wei

    2017-01-01

    Background: We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. Methods: We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. Results: For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Conclusion: Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers. PMID:28828316

  2. Business intelligence and financial decision-making: a theoretical approach

    OpenAIRE

    Mary Julieth Murillo Junco; Gustavo Cáceres Castellanos

    2013-01-01

    This paper deals with a literature review about the origin, development and implementation of Business Intelligence focused directly to solving problems in the financial area of the different organizations. Wanted contextualize how it tools have been incorporated into the decision making processes of modern business. A feature of the way it makes decisions has to do with the rational use made of the information available, and it is in this field where information technology and communication ...

  3. Teaching Emotional Intelligence in the Business School Curriculum

    Science.gov (United States)

    Bellizzi, Frank

    2008-01-01

    The ability to manage one's emotions and to manage one's interactions with others is tantamount to effective managerial leadership. Students in business schools will need to be prepared to integrate their emotional intelligence with their everyday behavior if they are to achieve success in whatever field of endeavor they have chosen. In this…

  4. A generic flexible and robust approach for intelligent real-time video-surveillance systems

    Science.gov (United States)

    Desurmont, Xavier; Delaigle, Jean-Francois; Bastide, Arnaud; Macq, Benoit

    2004-05-01

    In this article we present a generic, flexible and robust approach for an intelligent real-time video-surveillance system. A previous version of the system was presented in [1]. The goal of these advanced tools is to provide help to operators by detecting events of interest in visual scenes and highlighting alarms and compute statistics. The proposed system is a multi-camera platform able to handle different standards of video inputs (composite, IP, IEEE1394 ) and which can basically compress (MPEG4), store and display them. This platform also integrates advanced video analysis tools, such as motion detection, segmentation, tracking and interpretation. The design of the architecture is optimised to playback, display, and process video flows in an efficient way for video-surveillance application. The implementation is distributed on a scalable computer cluster based on Linux and IP network. It relies on POSIX threads for multitasking scheduling. Data flows are transmitted between the different modules using multicast technology and under control of a TCP-based command network (e.g. for bandwidth occupation control). We report here some results and we show the potential use of such a flexible system in third generation video surveillance system. We illustrate the interest of the system in a real case study, which is the indoor surveillance.

  5. Business intelligence tools for radiology: creating a prototype model using open-source tools.

    Science.gov (United States)

    Prevedello, Luciano M; Andriole, Katherine P; Hanson, Richard; Kelly, Pauline; Khorasani, Ramin

    2010-04-01

    Digital radiology departments could benefit from the ability to integrate and visualize data (e.g. information reflecting complex workflow states) from all of their imaging and information management systems in one composite presentation view. Leveraging data warehousing tools developed in the business world may be one way to achieve this capability. In total, the concept of managing the information available in this data repository is known as Business Intelligence or BI. This paper describes the concepts used in Business Intelligence, their importance to modern Radiology, and the steps used in the creation of a prototype model of a data warehouse for BI using open-source tools.

  6. MLED_BI: a new BI Design Approach to Support Multilingualism in Business Intelligence

    Directory of Open Access Journals (Sweden)

    Nedim Dedić

    2017-11-01

    Full Text Available Existing approaches to support Multilingualism (ML in Business Intelligence (BI create problems for business users, present a number of challenges from the technical perspective, and lead to issues with logical dependence in the star schema. In this paper, we propose MLED_BI (Multilingual Enabled Design for Business Intelligence, a novel BI design approach to support the application of ML in BI Environment, which overcomes the issues and problems found with existing approaches. The approach is based on a revision of the data warehouse dimensional modelling approach and treats the Star Schema as a higher level entity. This paper describes MLED_BI and the validation and evaluation approach used.

  7. Nástroje Business Intelligence a jejich implementace v podniku

    OpenAIRE

    Ubr, Michal

    2014-01-01

    Tato práce se zabývá analýzou nástrojů spojených s business intelligence ve vybraném podniku ŽĎAS a. s. a následným vypracováním návrhu na zlepšení jednotlivých součástí a služeb spadajících do této oblasti. Práce se zaměřuje především na finanční úsek podniku, ve kterém jsou nástroje BI nejvíce využívány. This thesis deals with the analysis of tools related to business intelligence in a selected company ŽĎAS a. s. and subsequent elaboration of draft to improve individual components and se...

  8. Explaining How to Play Real-Time Strategy Games

    Science.gov (United States)

    Metoyer, Ronald; Stumpf, Simone; Neumann, Christoph; Dodge, Jonathan; Cao, Jill; Schnabel, Aaron

    Real-time strategy games share many aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them appealing test-beds for Artificial Intelligence (AI) and machine learning. End user annotations could help to provide supplemental information for learning algorithms, especially when training data is sparse. This paper presents a formative study to uncover how experienced users explain game play in real-time strategy games. We report the results of our analysis of explanations and discuss their characteristics that could support the design of systems for use by experienced real-time strategy game users in specifying or annotating strategy-oriented behavior.

  9. Sustainability Reporting Process Model using Business Intelligence

    OpenAIRE

    Alxneit, Thorsten Julius

    2015-01-01

    Sustainability including the reporting requirements is one of the most relevant topics for companies. In recent years, many software providers have launched new software tools targeting companies committed to implementing sustainability reporting. But it’s not only companies willing to use their Business Intelligence (BI) solution, there are also basic principles such as the single source of truth and tendencies to combine sustainability reporting with the financial reporting (...

  10. Business intelligence and financial decision-making: a theoretical approach

    Directory of Open Access Journals (Sweden)

    Mary Julieth Murillo Junco

    2013-01-01

    Full Text Available This paper deals with a literature review about the origin, development and implementation of Business Intelligence focused directly to solving problems in the financial area of the different organizations. Wanted contextualize how it tools have been incorporated into the decision making processes of modern business. A feature of the way it makes decisions has to do with the rational use made of the information available, and it is in this field where information technology and communication play a role today

  11. Based on Intelligent Robot of E-business Distribution Center Operation Mode Research

    Directory of Open Access Journals (Sweden)

    Li Juntao

    2016-01-01

    Full Text Available According to E-business distribution center operation mode in domestic and advanced experience drawing lessons at home and abroad, this paper based on intelligent robot researches E-business distribution center operation mode. And it proposes the innovation logistics storage in E-business and sorting integration system, and elaborates its principle, characteristics, as well as studies its business mode and logistics process, and its parameters and working mode of AGV equipment.

  12. Towards an Understanding of the Role of Business Intelligence Systems in Organizational Knowing

    DEFF Research Database (Denmark)

    Shollo, Arisa; Galliers, Robert D.

    2013-01-01

    Advances in information technology (IT) have increased the ability of organizations to collect and analyze intelligence to support decisions. Over the last two decades the concept of business intelligence (BI) and actual BI technologies have gained prominence. Recent studies provide evidence...

  13. Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces.

    Directory of Open Access Journals (Sweden)

    Florent Bocquelet

    2016-11-01

    Full Text Available Restoring natural speech in paralyzed and aphasic people could be achieved using a Brain-Computer Interface (BCI controlling a speech synthesizer in real-time. To reach this goal, a prerequisite is to develop a speech synthesizer producing intelligible speech in real-time with a reasonable number of control parameters. We present here an articulatory-based speech synthesizer that can be controlled in real-time for future BCI applications. This synthesizer converts movements of the main speech articulators (tongue, jaw, velum, and lips into intelligible speech. The articulatory-to-acoustic mapping is performed using a deep neural network (DNN trained on electromagnetic articulography (EMA data recorded on a reference speaker synchronously with the produced speech signal. This DNN is then used in both offline and online modes to map the position of sensors glued on different speech articulators into acoustic parameters that are further converted into an audio signal using a vocoder. In offline mode, highly intelligible speech could be obtained as assessed by perceptual evaluation performed by 12 listeners. Then, to anticipate future BCI applications, we further assessed the real-time control of the synthesizer by both the reference speaker and new speakers, in a closed-loop paradigm using EMA data recorded in real time. A short calibration period was used to compensate for differences in sensor positions and articulatory differences between new speakers and the reference speaker. We found that real-time synthesis of vowels and consonants was possible with good intelligibility. In conclusion, these results open to future speech BCI applications using such articulatory-based speech synthesizer.

  14. Real Time Strategy Language

    OpenAIRE

    Hayes, Roy; Beling, Peter; Scherer, William

    2014-01-01

    Real Time Strategy (RTS) games provide complex domain to test the latest artificial intelligence (AI) research. In much of the literature, AI systems have been limited to playing one game. Although, this specialization has resulted in stronger AI gaming systems it does not address the key concerns of AI researcher. AI researchers seek the development of AI agents that can autonomously interpret learn, and apply new knowledge. To achieve human level performance, current AI systems rely on game...

  15. Asiakkaan datan mallinnus ja sen analysointi Business Intelligence -järjestelmässä

    OpenAIRE

    Porkka, Ville

    2017-01-01

    Opinnäytetyön tavoitteena oli toteuttaa asiakkaalle Business Intelligence -järjestelmää käyttäen ympäristö kyselytutkimuksella kerätyn datan analysointia varten. Asiakkaan analyyseille asettamien vaatimusten vuoksi aiemmin kerätty data oli muutettava Business Intelligence -järjestelmän, ja erityisesti tietovarastoinnin kannalta optimaaliseen, moniulotteiseen muotoon. Asiakkaalle luotiin uusi relaatiotietokanta moniulotteisessa mallinnuksessa yleisesti käytetyn tähtimallin pohjalta. Asiakkaan ...

  16. Predefined three tier business intelligence architecture in healthcare enterprise.

    Science.gov (United States)

    Wang, Meimei

    2013-04-01

    Business Intelligence (BI) has caused extensive concerns and widespread use in gathering, processing and analyzing data and providing enterprise users the methodology to make decisions. Different from traditional BI architecture, this paper proposes a new BI architecture, Top-Down Scalable BI architecture with defining mechanism for enterprise decision making solutions and aims at establishing a rapid, consistent, and scalable multiple applications on multiple platforms of BI mechanism. The two opposite information flows in our BI architecture offer the merits of having the high level of organizational prospects and making full use of the existing resources. We also introduced the avg-bed-waiting-time factor to evaluate hospital care capacity.

  17. Use of Business Intelligence Tools in the DSN

    Science.gov (United States)

    Statman, Joseph I.; Zendejas, Silvino C.

    2010-01-01

    JPL has operated the Deep Space Network (DSN) on behalf of NASA since the 1960's. Over the last two decades, the DSN budget has generally declined in real-year dollars while the aging assets required more attention, and the missions became more complex. As a result, the DSN budget has been increasingly consumed by Operations and Maintenance (O&M), significantly reducing the funding wedge available for technology investment and for enhancing the DSN capability and capacity. Responding to this budget squeeze, the DSN launched an effort to improve the cost-efficiency of the O&M. In this paper we: elaborate on the methodology adopted to understand "where the time and money are used"-surprisingly, most of the data required for metrics development was readily available in existing databases-we have used commercial Business Intelligence (BI) tools to mine the databases and automatically extract the metrics (including trends) and distribute them weekly to interested parties; describe the DSN-specific effort to convert the intuitive understanding of "where the time is spent" into meaningful and actionable metrics that quantify use of resources, highlight candidate areas of improvement, and establish trends; and discuss the use of the BI-derived metrics-one of the most fascinating processes was the dramatic improvement in some areas of operations when the metrics were shared with the operators-the visibility of the metrics, and a self-induced competition, caused almost immediate improvement in some areas. While the near-term use of the metrics is to quantify the processes and track the improvement, these techniques will be just as useful in monitoring the process, e.g. as an input to a lean-six-sigma process.

  18. How Business Intelligence and Social Interaction Amplify Organizational Cognition

    Science.gov (United States)

    Penn, Stephen Paul

    2012-01-01

    This systematic literature review of current scholarship on business intelligence, individual decision-making behavior, strategy as practice, and strategic planning offers a roadmap for firms seeking to increase their competitive advantage through data driven decision-making. Planning, deciding, and using information is a single phenomenon where…

  19. Business intelligence appliances in nuclear plant information system

    International Nuclear Information System (INIS)

    Bai Zhe; Zou Yuanhao

    2012-01-01

    With the widely use of information system, the enterprise has accumulated large amount of business data. It is urgent and complicated task to manipulate the massive and complex data collation, dig out the useful knowledge which can assist business managers and technical staff with decision-making and error analysis. At present, the business intelligence is in its initial stage in nuclear power plants (NPP), most of the plants start to show and analyze the data at the end-user interface, then go further with Data Mining gradually. By the basis of Data Warehouse. Online Analytical Processing and Data Mining technology, the data can be extracted, transformed and loaded. After the processing, the data is converted into useful information for plant managers to have different perspectives of decision-making and technical staff to analyse errors. (authors)

  20. Towards New Probabilistic Assumptions in Business Intelligence

    OpenAIRE

    Schumann Andrew; Szelc Andrzej

    2015-01-01

    One of the main assumptions of mathematical tools in science is represented by the idea of measurability and additivity of reality. For discovering the physical universe additive measures such as mass, force, energy, temperature, etc. are used. Economics and conventional business intelligence try to continue this empiricist tradition and in statistical and econometric tools they appeal only to the measurable aspects of reality. However, a lot of important variables of economic systems cannot ...

  1. Konsolidasi Data Warehouse untuk Aplikasi Business Intelligence

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2012-12-01

    Full Text Available As the business competition is getting strong, corporate leaders need complete data that as a basis for determining future business strategies. Similarly with management of company "A", a pharmaceutical company which has three distribution companies. Each distribution company already has a data warehouse to generate reports for each of them. For business operational and corporate strategies, chairman PT "A" requires an integrated report, so analysis of data owned by the three distribution companies can be done in a full reportto answer the problems faced by the managemet. Thus, data warehouse consilidation can be used as a solution for company "A". Methodology starts with analysis of information needs to be displayed on the application ofbusiness intelligence, data warehouse consolidation, ETL (extract, transform and load, data warehousing, OLAP and Dashboard. Using data warehouse consolidation, information access by management of company "A" can be done in a single presentation, which can display data comparison between the three distribution companies.

  2. Development of a method of continuous improvement of services using the Business Intelligence tools

    Directory of Open Access Journals (Sweden)

    Svetlana V. Kulikova

    2018-01-01

    Full Text Available The purpose of the study was to develop a method of continuous improvement of services using the Business Intelligence tools.Materials and methods: the materials are used on the concept of the Deming Cycle, methods and Business Intelligence technologies, Agile methodology and SCRUM.Results: the article considers the problem of continuous improvement of services and offers solutions using methods and technologies of Business Intelligence. In this case, the purpose of this technology is to solve and make the final decision regarding what needs to be improved in the current organization of services. In other words, Business Intelligence helps the product manager to see what is hidden from the “human eye” on the basis of received and processed data. Development of a method based on the concept of the Deming Cycle and Agile methodologies, and SCRUM.The article describes the main stages of development of method based on activity of the enterprise. It is necessary to fully build the Business Intelligence system in the enterprise to identify bottlenecks and justify the need for their elimination and, in general, for continuous improvement of the services. This process is represented in the notation of DFD. The article presents a scheme for the selection of suitable agile methodologies.The proposed concept of the solution of the stated objectives, including methods of identification of problems through Business Intelligence technology, development of the system for troubleshooting and analysis of results of the introduced changes. The technical description of the project is given.Conclusion: following the work of the authors there was formed the concept of the method for the continuous improvement of the services, using the Business Intelligence technology with the specifics of the enterprises, offering SaaS solutions. It was also found that when using this method, the recommended development methodology is SCRUM. The result of this scientific

  3. Artificial Intelligence (AI) Studies in Water Resources

    OpenAIRE

    Ay, Murat; Özyıldırım, Serhat

    2018-01-01

    Artificial intelligence has been extensively used in many areas such as computer science,robotics, engineering, medicine, translation, economics, business, and psychology. Variousstudies in the literature show that the artificial intelligence in modeling approaches give closeresults to the real data for solution of linear, non-linear, and other systems. In this study, wereviewed the current state-of-the-art and progress on the modelling of artificial intelligence forwater variables: rainfall-...

  4. Improving Energy Saving Techniques by Ambient Intelligence Scheduling

    DEFF Research Database (Denmark)

    Cristani, Matteo; Karafili, Erisa; Tomazzoli, Claudio

    2015-01-01

    Energy saving is one of the most challenging aspects of modern ambient intelligence technologies, for both domestic and business usages. In this paper we show how to combine Ambient Intelligence and Artificial Intelligence techniques to solve the problem of scheduling a set of devices under a given...... for Ambient Intelligence to a specific framework and exhibit a sample usage for a real life system, Elettra, that is in use in an industrial context....

  5. Implementation of Business Intelligence on Banking, Retail, and Educational Industry

    OpenAIRE

    Sundjaja, Arta Moro

    2013-01-01

    Information technology is useful to automate business process involving considerable data transaction in the daily basis. Currently, companies have to tackle large data transaction which is difficult to be handled manually. It is very difficult for a person to manually extract useful information from a large data set despite of the fact that the information may be useful in decision-making process. This article studied and explored the implementation of business intelligence in banking, retai...

  6. Artificial Intelligence as a Business Forecasting and Error Handling Tool

    OpenAIRE

    Md. Tabrez Quasim; Rupak Chattopadhyay

    2015-01-01

     Any business enterprise must rely a lot on how well it can predict the future happenings. To cope up with the modern global customer demand, technological challenges, market competitions etc., any organization is compelled to foresee the future having maximum impact and least chances of errors. The traditional forecasting approaches have some limitations. That is why the business world is adopting the modern Artificial Intelligence based forecasting techniques. This paper has tried to presen...

  7. A reliable information management for real-time systems

    International Nuclear Information System (INIS)

    Nishihara, Takuo; Tomita, Seiji

    1995-01-01

    In this paper, we propose a system configuration suitable for the hard realtime systems in which integrity and durability of information are important. On most hard real-time systems, where response time constraints are critical, the data which program access are volatile, and may be lost in case the systems are down. But for some real-time systems, the value-added intelligent network (IN) systems, e.g., integrity and durability of the stored data are very important. We propose a distributed system configuration for such hard real-time systems, comprised of service control modules and data management modules. The service control modules process transactions and responses based on deadline control, and the data management modules deal the stored data based on information recovery schemes well-restablished in fault real-time systems. (author)

  8. A Survey of Open Source Tools for Business Intelligence

    DEFF Research Database (Denmark)

    Thomsen, Christian; Pedersen, Torben Bach

    2009-01-01

    The industrial use of open source Business Intelligence (BI) tools is becoming more common, but is still not as widespread as for other types of software. It is therefore of interest to explore which possibilities are available for open source BI and compare the tools. In this survey paper, we co...

  9. An Investigation of the Potential Benefits and Challenges of Business Intelligence Adoption in the Retail Sector in Gweru, Zimbabwe

    Directory of Open Access Journals (Sweden)

    Carlington Rufaro Zamba

    2018-04-01

    Full Text Available The research explores the business intelligence tools that are being utilised by retailers in Gweru in a bid to find the extent of business intelligence (BI adoption in this sector through comparison with other business intelligence models and frameworks. It further finds the benefits and challenges of adopting business intelligence in the retail sector. The information was collected using questionnaires, interviews and observations. The research findings revealed that there is no integration of data sources used by the current BI tools in the retail sector. Most of the external and internal data sources for business intelligence are being underutilized and there is no adoption of Enterprise Resource Planning (ERP systems. The research recommends the following to the retail sector organisations in Gweru: adoption of ERP systems, adequate budgets for infrastructure and networking equipment, training of staff, and integration of data sources for BI systems and adoption of integrated BI tools amongst others to circumvent most of the challenges of BI adoption in the retail sector of Gweru

  10. Sbírka řešených příkladů pro výuku Business Intelligence pro studenty EF

    OpenAIRE

    KOZUBKOVÁ, Miroslava

    2016-01-01

    The subject of the diploma thesis titled, "Collection of Solved Problems of Business Intelligence for Students of the Faculty of Economics" is a creation and description of a series of solved problems of Business Intelligence. The theoretical part is focused on basic terms associated with Business Intelligence. In the practical part, there is showed the usage of MS SQL Server and MS Server Data Tools for creation different parts of the Business Intelligence process.

  11. Route around real time

    International Nuclear Information System (INIS)

    Terrier, Francois

    1996-01-01

    The greater and greater autonomy and complexity asked to the control and command systems lead to work on introducing techniques such as Artificial Intelligence or concurrent object programming in industrial applications. However, while the critical feature of these systems impose to control the dynamics of the proposed solutions, their complexity often imposes a high adaptability to a partially modelled environment. The studies presented start from low level control and command systems to more complex applications at higher levels, such as 'supervision systems'. Techniques such as temporal reasoning and uncertainty management are proposed for the first studies, while the second are tackled with programming techniques based on the real time object paradigm. The outcomes of this itinerary crystallize on the ACCORD project which targets to manage - on the whole life cycle of a real time application - these two problematics, sometimes antagonistic: control of the dynamics and adaptivity. (author) [fr

  12. Descriptive business intelligence analysis: utting edge strategic asset for SMEs, is it really worth it?

    OpenAIRE

    Sivave Mashingaidze

    2014-01-01

    The purpose of this article is to provide a framework for understanding and adoption of Business Intelligence by (SMEs) within the Zimbabwean economy. The article explores every facet of Business Intelligence, including internal and external BI as cutting edge strategic asset. A descriptive research methodology has been adopted. The article revealed some BI critical success factors for better BI implementation. Findings revealed that organizations which have the greatest success with BI trave...

  13. Swarm intelligence. A whole new way to think about business.

    Science.gov (United States)

    Bonabeau, E; Meyer, C

    2001-05-01

    What do ants and bees have to do with business? A great deal, it turns out. Individually, social insects are only minimally intelligent, and their work together is largely self-organized and unsupervised. Yet collectively they're capable of finding highly efficient solutions to difficult problems and can adapt automatically to changing environments. Over the past 20 years, the authors and other researchers have developed rigorous mathematical models to describe this phenomenon, which has been dubbed "swarm intelligence," and they are now applying them to business. Their research has already helped several companies develop more efficient ways to schedule factory equipment, divide tasks among workers, organize people, and even plot strategy. Emulating the way ants find the shortest path to a new food supply, for example, has led researchers at Hewlett-Packard to develop software programs that can find the most efficient way to route phone traffic over a telecommunications network. South-west Airlines has used a similar model to efficiently route cargo. To allocate labor, honeybees appear to follow one simple but powerful rule--they seem to specialize in a particular activity unless they perceive an important need to perform another function. Using that model, researchers at Northwestern University have devised a system for painting trucks that can automatically adapt to changing conditions. In the future, the authors speculate, a company might structure its entire business using the principles of swarm intelligence. The result, they believe, would be the ultimate self-organizing enterprise--one that could adapt quickly and instinctively to fast-changing markets.

  14. Inovační trendy Business Intelligence a Big Data v modelu Design driven Innovation

    OpenAIRE

    Krčma, Marek

    2014-01-01

    Business Intelligence plays the crucial role in the question of serching for the truth in organizations. Trend of data growing defines the importance of analytical tools for organizations. Innovation is perceived as the only driver which leads to higher living standards in a society in the longterm run (according to the World Economic Forum). This thesis joins two areas: innovation and analytical field of business informatics (Business Intelligence, Big Data). The main goal of this thesis is ...

  15. A Comparative Analysis of the Emotional Intelligence Levels of American and Chinese Business Students

    Science.gov (United States)

    Margavio, Thomas M.; Margavio, Geanie W.; Hignite, Michael A.; Moses, Duane R.

    2012-01-01

    Emotional Intelligence (EI) is a characteristic of business students that has been the subject of significant research. This study was designed to extend that prior research by comparing the EI scores of American business students with those of Chinese business students. The study further focuses on those factors which may be related to ways in…

  16. Past Experience, Cultural Intelligence, and Satisfaction with International Business Studies

    Science.gov (United States)

    Morrell, Daniel L.; Ravlin, Elizabeth C.; Ramsey, Jase R.; Ward, Anna-Katherine

    2013-01-01

    Despite significant increases in international business education, and cultural competence in particular, in U.S. classrooms we still know relatively little about the roles of specific cultural intelligence dimensions relative to how students affectively respond to such education. This article examines the relationship between prior international…

  17. Emotional Intelligence, Creativity and Academic Achievement of Business Administration Students

    Science.gov (United States)

    Olatoye, R. Ademola; Akintunde, S. O.; Yakasai, M. I.

    2010-01-01

    Introduction: This study investigated the extent to which the level of creativity and emotional intelligence influenced the level of academic achievement of Higher National Diploma HND business administration students of Polytechnics in the South Western States of Nigeria. Method: Three instruments; Student Cumulative Grade Point (CGPA)…

  18. Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2011-06-01

    Full Text Available Today a lot of companies use information system in every business activity. Every transaction is stored electronically in the database transaction. The transactional database does not help much to assist the executives in making strategic decisions to improve the company competitiveness. The objective of this research is to analyze the operational database system and the information needed by the management to design a data warehouse model which fits the executive information needs in PT. S. The research method uses the Nine-Step Methodology data warehouse design by Ralph Kimball. The result is a data warehouse featuring business intelligence applications to display information of historical data in tables, graphs, pivot tables, and dashboards and has several points of view for the management. This research concludes that a data warehouse which combines multiple database transactions with business intelligence application can help executives to understand the reports in order to accelerate decision-making processes. 

  19. Theoretical analysis and real time implementation of a classical controller with intelligent properties

    Directory of Open Access Journals (Sweden)

    Essam Hendawi

    2018-05-01

    Full Text Available This paper presents theoretical analysis and experimental implementation of a classical controller with intelligent properties. The controller has constant parameters, but it performs as an intelligent controller. The controller design mimics the fuzzy logic controller in a classical form and combines the advantages of classical controllers and properties of intelligent controllers. The designed controller parameters force the controlled variable to behave such as a first order system with a desired time constant. DC motor practical system is used to demonstrate the effectiveness of the presented controller. Root locus and frequency response using Bode diagram are used to help the design of the controller parameters. Simulation and experimental results verify the high performance of the presented controller. Keywords: Classical controller, DC motor, Root locus, Frequency response, Arduino microcontroller

  20. Business intelligence gap analysis: a user, supplier and academic perspective

    NARCIS (Netherlands)

    Molensky, L.; Ketter, W.; Collins, J.; Bloemhof, J.M.; Koppel, van der H.

    2010-01-01

    Business intelligence (BI) takes many different forms, as indicated by the varying definitions of BI that can be found in industry and academia. These different definitions help us understand of what BI issues are important to the main players in the field of BI; users, suppliers and academics. The

  1. The Relationship of Business Intelligence Systems to Organizational Performance Benefits: A Structural Equation Modeling of Management Decision Making

    Science.gov (United States)

    Sparks, Betsy H.

    2014-01-01

    Business Intelligence is a major expenditure in many organizations and necessary for competitive advantage. These expenditures do not result in maximum benefits for the organization if the information obtained from the Business Intelligence System (BIS) is not used in the management decision-making process. This quantitative research study used an…

  2. Making the Grid "Smart" Through "Smart" Microgrids: Real-Time Power Management of Microgrids with Multiple Distributed Generation Sources Using Intelligent Control

    Energy Technology Data Exchange (ETDEWEB)

    Nehrir, M. Hashem [Montana State Univ., Bozeman, MT (United States)

    2016-10-20

    In this Project we collaborated with two DOE National Laboratories, Pacific Northwest National Lab (PNNL) and Lawrence Berkeley National Lab (LBL). Dr. Hammerstrom of PNNL initially supported our project and was on the graduate committee of one of the Ph.D. students (graduated in 2014) who was supported by this project. He is also a committee member of a current graduate student of the PI who was supported by this project in the last two years (August 2014-July 2016). The graduate student is now supported be the Electrical and Computer Engineering (ECE) Department at Montana State University (MSU). Dr. Chris Marney of LBL provided actual load data, and the software WEBOPT developed at LBL for microgrid (MG) design for our project. NEC-Labs America, a private industry, also supported our project, providing expert support and modest financial support. We also used the software “HOMER,” originally developed at the National Renewable Energy Laboratory (NREL) and the most recent version made available to us by HOMER Energy, Inc., for MG (hybrid energy system) unit sizing. We compared the findings from WebOpt and HOMER and designed appropriately sized hybrid systems for our case studies. The objective of the project was to investigate real-time power management strategies for MGs using intelligent control, considering maximum feasible energy sustainability, reliability and efficiency while, minimizing cost and undesired environmental impact (emissions). Through analytic and simulation studies, we evaluated the suitability of several heuristic and artificial-intelligence (AI)-based optimization techniques that had potential for real-time MG power management, including genetic algorithms (GA), ant colony optimization (ACO), particle swarm optimization (PSO), and multi-agent systems (MAS), which is based on the negotiation of smart software-based agents. We found that PSO and MAS, in particular, distributed MAS, were more efficient and better suited for our work. We

  3. Descriptive business intelligence analysis: utting edge strategic asset for SMEs, is it really worth it?

    Directory of Open Access Journals (Sweden)

    Sivave Mashingaidze

    2014-10-01

    Full Text Available The purpose of this article is to provide a framework for understanding and adoption of Business Intelligence by (SMEs within the Zimbabwean economy. The article explores every facet of Business Intelligence, including internal and external BI as cutting edge strategic asset. A descriptive research methodology has been adopted. The article revealed some BI critical success factors for better BI implementation. Findings revealed that organizations which have the greatest success with BI travel an evolutionary path, starting with basic data and analytical tools and transitioning to increasingly more sophisticated capabilities until BI becomes an intrinsic part of their business culture and ROI is realized. Findings are useful for managers, policy makers, business analysts, and IT specialists in dealing with planning and implementation of BI systems in SMEs.

  4. The application of a Business Intelligence tool for strategic planning in a higher education institution: a case study of the University of the Witwatersrand

    Directory of Open Access Journals (Sweden)

    Vincent Nyalungu

    2011-07-01

    Full Text Available This article presents a discussion on the importance of business intelligence (BI and the role that a specific BI tool, Business Intelligence Enterprise Edition, plays in the strategic decision-making processes in an organisation. The University of the Witwatersrand, often referred to as Wits, was used as a case study. The main objective of a business intelligence tool is to improve the quality and timeliness of the input of data to the organisational decision-making process. The quality of the data, which is an organisational asset, is therefore of the utmost importance. Approaches for the identification of business intelligence from corporate information and knowledge management were also assessed. A questionnaire was administered among key informants within the university in order to address some of the pertinent issues at higher education institutions. In addition, the role of a data warehouse within the business intelligence framework was presented. The paper itself covers a wide range of disciplines from information technology, knowledge management to decision sciences. The article also presents a proposed framework to be used in line with the best practices in the implementation of business intelligence solutions. Keywords: Business Intelligence (BI, Business Intelligence Enterprise Edition (BIEE, Data Warehouse, Strategic Decision Making, Strategic Planning, Higher Education Institutions and Knowledge Management. Disciplines: Information Technology, Knowledge Management, Management Sciences, Decision Sciences & Management

  5. Developing cloud-based Business Process Management (BPM): a survey

    Science.gov (United States)

    Mercia; Gunawan, W.; Fajar, A. N.; Alianto, H.; Inayatulloh

    2018-03-01

    In today’s highly competitive business environment, modern enterprises are dealing difficulties to cut unnecessary costs, eliminate wastes and delivery huge benefits for the organization. Companies are increasingly turning to a more flexible IT environment to help them realize this goal. For this reason, the article applies cloud based Business Process Management (BPM) that enables to focus on modeling, monitoring and process management. Cloud based BPM consists of business processes, business information and IT resources, which help build real-time intelligence systems, based on business management and cloud technology. Cloud computing is a paradigm that involves procuring dynamically measurable resources over the internet as an IT resource service. Cloud based BPM service enables to address common problems faced by traditional BPM, especially in promoting flexibility, event-driven business process to exploit opportunities in the marketplace.

  6. Analýza business intelligence řešení v Komerční bance

    OpenAIRE

    Štěpánek, Eduard

    2013-01-01

    The aim of this thesis is to analyse the business intelligence solution in Commercial Bank and its potential adjustments. The thesis is divided into three parts in order to achieve this goal. The opening part discusses the matters of business intelligence from a theoretical point of view. The second part describes the current situation in the bank, the way the solution works, what kind of business processes it supports and what means of technology it uses. The last part of the thesis is dedic...

  7. Implementing dashboards as a business intelligence tool in the forest inventory and analysis program

    Science.gov (United States)

    Scott A. Pugh; Randall S. Morin; Barbara A. Johnson

    2015-01-01

    Today is the era of “big data” where businesses have access to enormous amounts of often complex and sometimes unwieldy data. Businesses are using business intelligence (BI) systems to transform this data into useful information for management decisions. BI systems integrate applications, processes, data, and people to deliver prompt and robust analyses. A number of...

  8. Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises.

    Science.gov (United States)

    Borrajo, M Lourdes; Baruque, Bruno; Corchado, Emilio; Bajo, Javier; Corchado, Juan M

    2011-08-01

    During the last years there has been a growing need of developing innovative tools that can help small to medium sized enterprises to predict business failure as well as financial crisis. In this study we present a novel hybrid intelligent system aimed at monitoring the modus operandi of the companies and predicting possible failures. This system is implemented by means of a neural-based multi-agent system that models the different actors of the companies as agents. The core of the multi-agent system is a type of agent that incorporates a case-based reasoning system and automates the business control process and failure prediction. The stages of the case-based reasoning system are implemented by means of web services: the retrieval stage uses an innovative weighted voting summarization of self-organizing maps ensembles-based method and the reuse stage is implemented by means of a radial basis function neural network. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.

  9. Best Practice in Using Business Intelligence to Determine Research Strategy

    Science.gov (United States)

    Green, John; Rutherford, Scott; Turner, Thomas

    2009-01-01

    The authors recognise that there is no "one-size-fits-all" approach to implementing business intelligence strategy within universities. Elements of best practice have been taken from a case study of Imperial College, which may be applied across other institutions. The process starts with implementing and developing systems that capture…

  10. Business Intelligence from User Generated Content: Online Opinion Formation in Purchasing Decisions in High-Tech Markets

    OpenAIRE

    Setiya , Karan; Ubacht , Jolien; Cunningham , Scott; Oruç , Sertaç

    2016-01-01

    Part 6: Data Acquisition, Management and Analytics; International audience; User Generated Content (UGC) requires new business intelligence methods to understand the influence of online opinion formation on customer purchasing decisions. We developed a conceptual model for deriving business intelligence from tweets, based on the Classical Model of Consensus Formation and the Theory of Planned Behaviour. We applied the model to the dynamic high-tech smartphone market by means of three case stu...

  11. A distributed agent architecture for real-time knowledge-based systems: Real-time expert systems project, phase 1

    Science.gov (United States)

    Lee, S. Daniel

    1990-01-01

    We propose a distributed agent architecture (DAA) that can support a variety of paradigms based on both traditional real-time computing and artificial intelligence. DAA consists of distributed agents that are classified into two categories: reactive and cognitive. Reactive agents can be implemented directly in Ada to meet hard real-time requirements and be deployed on on-board embedded processors. A traditional real-time computing methodology under consideration is the rate monotonic theory that can guarantee schedulability based on analytical methods. AI techniques under consideration for reactive agents are approximate or anytime reasoning that can be implemented using Bayesian belief networks as in Guardian. Cognitive agents are traditional expert systems that can be implemented in ART-Ada to meet soft real-time requirements. During the initial design of cognitive agents, it is critical to consider the migration path that would allow initial deployment on ground-based workstations with eventual deployment on on-board processors. ART-Ada technology enables this migration while Lisp-based technologies make it difficult if not impossible. In addition to reactive and cognitive agents, a meta-level agent would be needed to coordinate multiple agents and to provide meta-level control.

  12. Enhancing Safeguards through Information Analysis: Business Analytics Tools

    International Nuclear Information System (INIS)

    Vincent, J.; Midwinter, J.

    2015-01-01

    For the past 25 years the IBM i2 Intelligence Analysis product portfolio has assisted over 4,500 organizations across law enforcement, defense, government agencies, and commercial private sector businesses to maximize the value of the mass of information to discover and disseminate actionable intelligence that can help identify, investigate, predict, prevent, and disrupt criminal, terrorist, and fraudulent acts; safeguarding communities, organizations, infrastructures, and investments. The collaborative Intelligence Analysis environment delivered by i2 is specifically designed to be: · scalable: supporting business needs as well as operational and end user environments · modular: an architecture which can deliver maximum operational flexibility with ability to add complimentary analytics · interoperable: integrating with existing environments and eases information sharing across partner agencies · extendable: providing an open source developer essential toolkit, examples, and documentation for custom requirements i2 Intelligence Analysis brings clarity to complex investigations and operations by delivering industry leading multidimensional analytics that can be run on-demand across disparate data sets or across a single centralized analysis environment. The sole aim is to detect connections, patterns, and relationships hidden within high-volume, all-source data, and to create and disseminate intelligence products in near real time for faster informed decision making. (author)

  13. An assessment on employees’ business intelligence and CRM on customer satisfaction: A case study of Auto industry

    OpenAIRE

    Somayeh Rezaei; Ali Alikhani

    2014-01-01

    This paper performs an empirical investigation on employees’ business intelligence and customer relationship management and their effects on customer satisfaction. The proposed study has been implemented among 625 people, 240 sales representative and 385 regular customers, who are involved with products of an Iranian automaker named Iran Khodro. The proposed study designs three questionnaires in Likert scale for business intelligence, customer relationship management and customer satisfaction...

  14. An assessment of business intelligence in public hospitals

    OpenAIRE

    Rikke Gaardboe; Niels Sandalgaard; Tom Nyvang

    2017-01-01

    In this paper, DeLone and McLean's information systems success model is empirically tested on 12 public hospitals in Denmark. The study aims to investigate the factors that contribute to business intelligence (BI) success. 1,352 BI end-users answered the questionnaire. A partial least square structural equation model was used to empirically test the model. We find that system quality is positively and significantly associated with use and user satisfaction, and that information quality is pos...

  15. Event processing for business organizing the real-time enterprise

    CERN Document Server

    Luckham, David C

    2011-01-01

    Find out how Events Processing (EP) works and how it can workfor you Business Event Processing: An Introduction and StrategyGuide thoroughly describes what EP is, how to use it, and howit relates to other popular information technology architecturessuch as Service Oriented Architecture. Explains how sense and response architectures are being appliedwith tremendous results to businesses throughout the world andshows businesses how they can get started implementing EPShows how to choose business event processing technology tosuit your specific business needs and how to keep costs of adoptingit

  16. Effectiveness of Agile Implementation Methods in Business Intelligence Projects from an End-user Perspective

    Directory of Open Access Journals (Sweden)

    Anna Maria Misiak

    2016-06-01

    Full Text Available The global Business Intelligence (BI market grew by 10% in 2013 according to the Gartner Report. Today organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics – Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However traditional methods are not efficient for changing business needs. The long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements in the end of the project. This article presents the latest market trends in BI systems implementation by comparing Agile with traditional methods. It presents a case study provided in a large telecommunications company (20K employees and the results of a pilot research provided in the three large companies: telecommunications, digital, and insurance. Both studies prove that Agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach.

  17. Use of Business Intelligence as a Strategic Information Technology in Banking: Farud Discovery & Detection

    Directory of Open Access Journals (Sweden)

    علی محقر

    2009-02-01

    Full Text Available In today?s competitive, complex and rapidly changing business world, based on information, it is very essential to have timely and accurate insight of business conditions and activities to check whether they are healthy and according to business norms. Information obviously plays a critical role to have this insight and it can only be of avail, if it is directional, focused, timely and easily accessible and also if it gives both the macro/strategic and the micro/operational view of the company. Due to the advancement in information technology, state-of-the-art technologies like business intelligence (BI have been developed to provide us the above features. This paper provides reader an insight of BI and its strategic importance. It also explains how BI can be effective technology in industries like banking to overcome critical issue like fraud discovery and detection. The methodology, based on BI, in the form of model named BI model for fraud discovery and detection has been devised and suggested at the end of paper along with it its details for overcoming the above mentioned issue in more effective and efficient manner.

  18. Business Intelligence v cloudu – analýza využitelnosti v advokátní kanceláři

    OpenAIRE

    David, Radek

    2015-01-01

    This master thesis discusses matters of cloud Business Intelligence in Software as a Service form and the possibilities of using this technology in a law firm environment. First theoretical part deals with definition of notion Business Intelligence and cloud, including functionality and technological background. Further is also analyze market of Business Intelligence, including look at trends. In practical part is thesis focused on determining the metrics and criteria with regard to the requi...

  19. The Impact of Business Intelligence (BI Competence on Customer Relationship Management (CRM Process: An Empirical Investigation of the Banking Industry

    Directory of Open Access Journals (Sweden)

    Ali Mortezaei

    2018-03-01

    Full Text Available Nowadays, establishing long-term and effective relationships with customers is a key factor in understanding customers’ needs and preferences and achieving competitive advantage. In addition, companies are facing with a growing need for information and analytical knowledge about their customers, market, competitors, organizational environment, and other factors affecting their business. Business intelligence has been considered as a response to this need. The purpose of this study is to investigate the role of business intelligence competence in improving customer relationship management process. Based on the literature review and the competence – capability relationship paradigm, a conceptual model was developed comprising of different dimensions of business intelligence competence and customer relationship management processes. The data were collected from the banking sector and partial least squares structural equation modelling was employed for data analysis. Empirical results showed that organizational business intelligence competence, comprising of managerial, technical, and cultural competence, has a significantly positive impact on enhancing capabilities of customer relationship management process including initiation, maintenance, and termination of the relationship.

  20. Contracts in the Classroom--Providing Undergraduate Business Students with Important "Real Life" Skills

    Science.gov (United States)

    Denbo, Susan M.

    2005-01-01

    Many business law educators have recognized the importance of teaching students not only the rules of contract law, but the process of implementing these rules in the "real world" of business. This article discusses a contract negotiation exercise that enables students to apply the black letter law of contracts while at the same time honing their…

  1. Factors Driving Business Intelligence Culture

    Directory of Open Access Journals (Sweden)

    Rimvydas Skyrius

    2016-05-01

    Full Text Available The field of business intelligence (BI, despite rapid technology advances, continues to feature inadequate levels of adoption. The attention of researchers is shifting towards hu-man factors of BI adoption. The wide set of human factors influencing BI adoption con-tains elements of what we call BI culture – an overarching concept covering key managerial issues that come up in BI implementation. Research sources provide different sets of features pertaining to BI culture or related concepts – decision-making culture, analytical culture and others. The goal of this paper is to perform the review of research and practical sources to examine driving forces of BI – data-driven approaches, BI agility, maturity and acceptance – to point out culture-related issues that support BI adoption and to suggest an emerging set of factors influencing BI culture.

  2. An assessment on employees’ business intelligence and CRM on customer satisfaction: A case study of Auto industry

    Directory of Open Access Journals (Sweden)

    Somayeh Rezaei

    2014-02-01

    Full Text Available This paper performs an empirical investigation on employees’ business intelligence and customer relationship management and their effects on customer satisfaction. The proposed study has been implemented among 625 people, 240 sales representative and 385 regular customers, who are involved with products of an Iranian automaker named Iran Khodro. The proposed study designs three questionnaires in Likert scale for business intelligence, customer relationship management and customer satisfaction and Cronbach alpha have been calculated for these three questionnaires as 0.85, 0.84 and 0.78, respectively. The study distributes the questionnaires among groups, employees as well as customers, and using one-way t-student test as well as regression technique the study finds that business intelligence and customer relationship management are within an acceptable limit (P< 0.01 and they positively influence on customers’ satisfaction (P < 0.01.

  3. Critical value factors in business intelligence systems implementation success: An empirical analysis of system and information quality

    OpenAIRE

    Hackney, RA; Dooley, P; Levvy, Y; Parrish, J

    2015-01-01

    Business Intelligence (BI) systems have been rated as a leading technology for the last several years. However, organizations have struggled to ensure that high quality information is provided to and from BI systems. This suggests that organizations have recognized the value of information and the potential opportunities available but are challenged by the lack of success in Business Intelligence Systems Implementation (BISI). Therefore, our research addresses the preponderance of failed BI s...

  4. Artificial intelligence and exponential technologies business models evolution and new investment opportunities

    CERN Document Server

    Corea, Francesco

    2017-01-01

    Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from...

  5. A Benchmarking Analysis of Open-Source Business Intelligence Tools in Healthcare Environments

    Directory of Open Access Journals (Sweden)

    Andreia Brandão

    2016-10-01

    Full Text Available In recent years, a wide range of Business Intelligence (BI technologies have been applied to different areas in order to support the decision-making process. BI enables the extraction of knowledge from the data stored. The healthcare industry is no exception, and so BI applications have been under investigation across multiple units of different institutions. Thus, in this article, we intend to analyze some open-source/free BI tools on the market and their applicability in the clinical sphere, taking into consideration the general characteristics of the clinical environment. For this purpose, six BI tools were selected, analyzed, and tested in a practical environment. Then, a comparison metric and a ranking were defined for the tested applications in order to choose the one that best applies to the extraction of useful knowledge and clinical data in a healthcare environment. Finally, a pervasive BI platform was developed using a real case in order to prove the tool viability.

  6. Acquisition of business intelligence from human experience in route planning

    Science.gov (United States)

    Bello Orgaz, Gema; Barrero, David F.; R-Moreno, María D.; Camacho, David

    2015-04-01

    The logistic sector raises a number of highly challenging problems. Probably one of the most important ones is the shipping planning, i.e. plan the routes that the shippers have to follow to deliver the goods. In this article, we present an artificial intelligence-based solution that has been designed to help a logistic company to improve its routes planning process. In order to achieve this goal, the solution uses the knowledge acquired by the company drivers to propose optimised routes. Hence, the proposed solution gathers the experience of the drivers, processes it and optimises the delivery process. The solution uses data mining to extract knowledge from the company information systems and prepares it for analysis with a case-based reasoning (CBR) algorithm. The CBR obtains critical business intelligence knowledge from the drivers experience that is needed by the planner. The design of the routes is done by a genetic algorithm that, given the processed information, optimises the routes following several objectives, such as minimise the distance or time. Experimentation shows that the proposed approach is able to find routes that improve, on average, the routes made by the human experts.

  7. Managing Sustainability with the Support of Business Intelligence Methods and Tools

    Science.gov (United States)

    Petrini, Maira; Pozzebon, Marlei

    In this paper we explore the role of business intelligence (BI) in helping to support the management of sustainability in contemporary firms. The concepts of sustainability and corporate social responsibility (CSR) are among the most important themes to have emerged in the last decade at the global level. We suggest that BI methods and tools have an important but not yet well studied role to play in helping organizations implement and monitor sustainable and socially responsible business practices. Using grounded theory, the main contribution of our study is to propose a conceptual model that seeks to support the process of definition and monitoring of socio-environmental indicators and the relationship between their management and business strategy.

  8. New York State intelligent transportation system commercial vehicle operations (CVO) : business plan

    Science.gov (United States)

    1998-07-01

    The purpose of this Business Plan is to describe the major Intelligent Transportation System (ITS) initiatives and projects in the area of Commercial Vehicle Operations (CVO) that have recently been or are planned to be undertaken in New York State b...

  9. Přínos Self-service Business Intelligence v retailu

    OpenAIRE

    Chalas, Jan

    2017-01-01

    This bachelor thesis deals with the benefits of using Self-service Business Intelligence (SSBI) tools in retail. It compares SSBI with the traditional concept, in the context of current managers requirements and general trends in the implementation and use of enterprise information systems. Describes the fundamental differences in SSBI versus traditional solutions and draws attention to the benefits and disadvantages that arise.

  10. Selected business intelligence methods for decision-making support in a finance institution

    OpenAIRE

    Mezera, Filip; Křupka, Jiří

    2017-01-01

    This article deals with decision-making support methods’ implementation in a medium size financial company with international operations. The objective of this article is to show the abilities of these methods to precise decision-making of management. At the beginning of this article there is briefly described the existing situation in this business sector in Central Europe. After that part Business Intelligence methods are described as well as the reasons while these methods have been introd...

  11. A Business Intelligence Framework for Sustainability Information Management in Higher Education

    Science.gov (United States)

    Scholtz, Brenda; Calitz, Andre; Haupt, Ross

    2018-01-01

    Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…

  12. Business intelligence key to success in the information age

    Directory of Open Access Journals (Sweden)

    Helmer Muñoz-Hernández

    2017-02-01

    Full Text Available This article aims to describe and classify in a more concrete way information systems, which are framed in what is properly called as "business intelligence". It begins analyzing each of the basic concepts and theoretical aspects and then detail in shaping transactional systems and the most important strategic systems including their benefits, their modes of use, and its disadvantages; It reflects on some cases actually exposed business globally, and the impact it has had the adoption of information systems in its corporate strategy as a key competitive advantages achieving considerable success. Finally, it concludes by describing the importance that has had the implementation of at least some of these information systems in strategic planning of organizations, especially in Colombia and Latin America.

  13. Artificial Intelligence - A New Field of Computer Science Which Any Business Should Consider

    Directory of Open Access Journals (Sweden)

    Oprișan Oana

    2017-01-01

    Full Text Available Anyone can remember what it meant for business IT solutions a few years ago. On themarket there is a clear segmentation between ERP, CRM, Document Management, BI, and so on. Asegmentation that has gradually added other elements, such as Analytics, and, more recently, BigData, with its leading corollary, Cognitive Computing. Technological developments, and especiallybusiness developments, marked by the growing need for real-time, real-world information fromgrowing data volumes, have made such a segmentation on the business solutions market start tofade Clear boundaries. Obviously, we can not speak at present about an integrative solution thatincludes all the sub-segments of this market. Such a fully integrated solution would be extremelyexpensive and perhaps too rigid to meet the needs of all market players.

  14. Artificial Intelligence Is for Real: Undergraduate Students Should Know about It.

    Science.gov (United States)

    Liebowitz, Jay

    1988-01-01

    Discussion of the possibilities of introducing artificial intelligence (AI) into the undergraduate curriculum highlights the introduction of AI in an introduction to information processing course for business students at George Washington University. Topics discussed include robotics, expert systems prototyping in class, and the interdisciplinary…

  15. Real time automatic discriminating of ultrasonic flaws

    International Nuclear Information System (INIS)

    Suhairy Sani; Mohd Hanif Md Saad; Marzuki Mustafa; Mohd Redzwan Rosli

    2009-01-01

    This paper is concerned with the real time automatic discriminating of flaws from two categories; i. cracks (planar defect) and ii. Non-cracks (volumetric defect such as cluster porosity and slag) using pulse-echo ultrasound. The raw ultrasonic flaws signal were collected from a computerized robotic plane scanning system over the whole of each reflector as the primary source of data. The signal is then filtered and the analysis in both time and frequency domain were executed to obtain the selected feature. The real time feature analysis techniques measured the number of peaks, maximum index, pulse duration, rise time and fall time. The obtained features could be used to distinguish between quantitatively classified flaws by using various tools in artificial intelligence such as neural networks. The proposed algorithm and complete system were implemented in a computer software developed using Microsoft Visual BASIC 6.0 (author)

  16. The importance of business intelligence in the bank strategic marketing

    Directory of Open Access Journals (Sweden)

    Đorđević Bojan

    2006-01-01

    Full Text Available Marketing philosophy today is inevitable for many financial institutions which are dealing with big competition in the market. Banking institutions while transforming from traditional to modern banks, must put in a first place acceptance of marketing principals, i.e. they must focus on consumers (users of bank's products & services. Implementing new technologies in business, banking market competitors are facing many innovations in products/services and processes, and a wide range of offers in banking and non-banking financial organizations. That invokes the need for modern technological solutions in gathering and processing a lot of market information and individual tracking of every client's activities (one-to-one. In those circumstances, there's great necessity to implement business intelligence system in banks, that can significantly help in finding and realization of adequate marketing strategies in banking business.

  17. The Influence of Marketing Intelligence on Business Competitive Advantage (A Study of Diamond Bank Plc

    Directory of Open Access Journals (Sweden)

    Ladipo Patric Kunle Ade

    2017-03-01

    Full Text Available This study investigates the influence of Marketing Intelligence on Business Competitive Advantage: A study of Diamond Bank Plc, Nigeria. Five objectives were identified and translated into five research questions which aptly answered by subjecting them to a test of hypotheses. A Descriptive research was used to survey 292 members of the staff of Diamond Bank in Lagos, Central Regional branches and head office. Out of which 285 responses were obtained, while 6 responses were destroyed because they were not properly filled. Also, data was collected through a self-administered questionnaire, as Pearson correlation, T-test and Regression were used to test the hypotheses statements. However, the result of the findings revealed that marketing intelligence sub-constructs such as internal records, competitor’s sales data, marketplace opportunity, competitors’ threats and competitors’ risks have significant and positive influence on business competitive advantage. Thus, it can be concluded that marketing intelligence as sensitive information has enabled the bank to successfully acquire more profit, expand the branch network all over the country, perform better than its rivals in the market and increase its business competitive advantage.

  18. The Fundamental Uncertainty of Business: Real Options

    Science.gov (United States)

    Dyer, James S.

    The purpose of this paper is to discuss the manner in which uncertainty is currently evaluated in business, with an emphasis on economic measures. In recent years, the accepted approach for the valuation of capital investment decisions has become one based on the theory of real options. From the standpoint of this workshop, the interesting aspect of real options is its focus on the flexibility of management to respond to changes in the environment as a feature of an alternative that has unique value, known as "option value." While this may not be surprising to most participants in this workshop, it does represent a radical change in traditional thinking about risk in business, where efforts have primarily been focused on the elimination of risk when possible.

  19. The Managerial Use of Business Intelligence Systems in China

    OpenAIRE

    YUTONG SONG

    2018-01-01

    There is very little published research on post-adoption business intelligence (BI) ‎use by managers in Chinese organizations. The project used a theory-building case ‎study method followed by an applicability check. The researcher visited 12 large ‎Chinese organizations and conducted 78 semi-structured interviews with managers ‎and executives. The insights from the interviews assisted and guided the ‎development, modification, and the evaluation of the Model of Chinese BI System ‎Use (MCBIU)...

  20. Intelligence: Real or artificial?

    OpenAIRE

    Schlinger, Henry D.

    1992-01-01

    Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally r...

  1. A framework for building real-time expert systems

    Science.gov (United States)

    Lee, S. Daniel

    1991-01-01

    The Space Station Freedom is an example of complex systems that require both traditional and artificial intelligence (AI) real-time methodologies. It was mandated that Ada should be used for all new software development projects. The station also requires distributed processing. Catastrophic failures on the station can cause the transmission system to malfunction for a long period of time, during which ground-based expert systems cannot provide any assistance to the crisis situation on the station. This is even more critical for other NASA projects that would have longer transmission delays (e.g., the lunar base, Mars missions, etc.). To address these issues, a distributed agent architecture (DAA) is proposed that can support a variety of paradigms based on both traditional real-time computing and AI. The proposed testbed for DAA is an autonomous power expert (APEX) which is a real-time monitoring and diagnosis expert system for the electrical power distribution system of the space station.

  2. Strategic business transformation through technology convergence

    DEFF Research Database (Denmark)

    Agarwal, Nivedita; Brem, Alexander

    2015-01-01

    -time intelligence. This paper presents the case of General Electric (GE) and studies the various transitional phases and transformation dimensions that GE is experiencing, to manage this technology convergence. The evaluation of GE's experience indicates that convergence-related business transformation is nonlinear......Technology adoption is crucial for an organisation to remain competitive in the marketplace. Traditionally, two technologies - operational technology (OT) and information technology (IT) - have operated independently from one another; however, technological advancements that businesses...... are experiencing have increased the overlap and convergence of these two areas. Industrial organisations are investing heavily in the integration and alignment of these technologies and expect to benefit in several ways from this convergence, such as through increased productivity, reduction in cost, and real...

  3. Real coded genetic algorithm for fuzzy time series prediction

    Science.gov (United States)

    Jain, Shilpa; Bisht, Dinesh C. S.; Singh, Phool; Mathpal, Prakash C.

    2017-10-01

    Genetic Algorithm (GA) forms a subset of evolutionary computing, rapidly growing area of Artificial Intelligence (A.I.). Some variants of GA are binary GA, real GA, messy GA, micro GA, saw tooth GA, differential evolution GA. This research article presents a real coded GA for predicting enrollments of University of Alabama. Data of Alabama University is a fuzzy time series. Here, fuzzy logic is used to predict enrollments of Alabama University and genetic algorithm optimizes fuzzy intervals. Results are compared to other eminent author works and found satisfactory, and states that real coded GA are fast and accurate.

  4. Business Intelligence: Applying the Unified Theory of Acceptance and Use of Technology

    Science.gov (United States)

    Pope, Angela D.

    2014-01-01

    The purpose of this study was to explore the variables that affect an individual's intention to use business intelligence technology in organizations. Constructs in the study were social influence, performance expectancy, effort expectancy, and behavioral intention. Social influence refers to verbal comments from executives and coworkers that…

  5. Emotional Intelligence: Pedagogical Considerations for Skills-Based Learning in Business Communication Courses

    Science.gov (United States)

    Sigmar, Lucia; Hynes, Geraldine E.; Cooper, Tab

    2010-01-01

    This study investigates the effect of Emotional Intelligence (EQ) training on student satisfaction with the collaborative writing process and product. Business communication students at an AACSB-accredited state university worked collaboratively on writing assignments in pre-and post-EQ-training sessions. Pre-and post-training surveys measured…

  6. Real Business-cycle Model with Habits

    DEFF Research Database (Denmark)

    Khorunzhina, Natalia

    2015-01-01

    This paper empirically investigates the ability of a real business-cycle model with nonseparabilities in consumption and leisure and external habits both in consumption and leisure to fit the postwar US data. The results indicate a strong but fast-dying habit in leisure, and a somewhat weaker...

  7. Integrating GPS, GYRO, vehicle speed sensor, and digital map to provide accurate and real-time position in an intelligent navigation system

    Science.gov (United States)

    Li, Qingquan; Fang, Zhixiang; Li, Hanwu; Xiao, Hui

    2005-10-01

    The global positioning system (GPS) has become the most extensively used positioning and navigation tool in the world. Applications of GPS abound in surveying, mapping, transportation, agriculture, military planning, GIS, and the geosciences. However, the positional and elevation accuracy of any given GPS location is prone to error, due to a number of factors. The applications of Global Positioning System (GPS) positioning is more and more popular, especially the intelligent navigation system which relies on GPS and Dead Reckoning technology is developing quickly for future huge market in China. In this paper a practical combined positioning model of GPS/DR/MM is put forward, which integrates GPS, Gyro, Vehicle Speed Sensor (VSS) and digital navigation maps to provide accurate and real-time position for intelligent navigation system. This model is designed for automotive navigation system making use of Kalman filter to improve position and map matching veracity by means of filtering raw GPS and DR signals, and then map-matching technology is used to provide map coordinates for map displaying. In practical examples, for illustrating the validity of the model, several experiments and their results of integrated GPS/DR positioning in intelligent navigation system will be shown for the conclusion that Kalman Filter based GPS/DR integrating position approach is necessary, feasible and efficient for intelligent navigation application. Certainly, this combined positioning model, similar to other model, can not resolve all situation issues. Finally, some suggestions are given for further improving integrated GPS/DR/MM application.

  8. Comparing fuzzy AHP and fuzzy TOPSIS for evaluation of business intelligence vendors

    Directory of Open Access Journals (Sweden)

    Alireza Soloukdar

    2015-04-01

    Full Text Available The main objective of this study is to identify the most important criteria and indicators in selection of business intelligence vendors, and ranking the vendors of such tools using Fuzzy Analytical hierarchy Process (FAHP and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS, to compare results of these two methods and to provide appropriate solutions for the sample company, namely National Iranian Oil Company (NIOC. Spearman's rank correlation test was used for comparing the methods and determining their correlation. A strong positive correlation was observed between the ranks of business intelligence tools at the significance level of 0.05 in both methods. The results of the ranking by means of FAHP method show that IBM Company was the best one, followed by Oracle, SAS, QlikTech, SAP and Microsoft. However, based on the FTOPSIS method, Oracle was the leading company, followed by IBM, SAS and SAP and finally Microsoft.

  9. Intelligent control for modeling of real-time reservoir operation, part II: artificial neural network with operating rule curves

    Science.gov (United States)

    Chang, Ya-Ting; Chang, Li-Chiu; Chang, Fi-John

    2005-04-01

    To bridge the gap between academic research and actual operation, we propose an intelligent control system for reservoir operation. The methodology includes two major processes, the knowledge acquired and implemented, and the inference system. In this study, a genetic algorithm (GA) and a fuzzy rule base (FRB) are used to extract knowledge based on the historical inflow data with a design objective function and on the operating rule curves respectively. The adaptive network-based fuzzy inference system (ANFIS) is then used to implement the knowledge, to create the fuzzy inference system, and then to estimate the optimal reservoir operation. To investigate its applicability and practicability, the Shihmen reservoir, Taiwan, is used as a case study. For the purpose of comparison, a simulation of the currently used M-5 operating rule curve is also performed. The results demonstrate that (1) the GA is an efficient way to search the optimal input-output patterns, (2) the FRB can extract the knowledge from the operating rule curves, and (3) the ANFIS models built on different types of knowledge can produce much better performance than the traditional M-5 curves in real-time reservoir operation. Moreover, we show that the model can be more intelligent for reservoir operation if more information (or knowledge) is involved.

  10. The real business of web design

    CERN Document Server

    Waters, John

    2004-01-01

    Written by a veteran Web designer, The Real Business of Web Design goes beyond the usual philosophy of simply creating a better customer experience online. Instead, it provides an array of visual design practices and tested business principles for clarifying and simplifying the Web development process and making a Website more customer friendly. Filled with anecdotes from the author's own experiences in the web design trenches, this guide shows readers how to use the Web in crucial ways to streamline communications, speed up transactions, boost profits, and much more. Anyone who wants to use t

  11. How Gamification will change Business Intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Hiltbrand, Troy; Burke, Marsha

    2011-04-01

    advanced, allowing for better graphics, sound and game play, but also significant research has been done in the area of game mechanics. “Game mechanics are rule based systems that facilitate and encourage a user to explore and learn the properties of their possibility space through the use of feedback mechanisms.” (Koster, 2004) As these game mechanics become better understood, they are being applied to areas outside of the realm of video game development. Game mechanics have become the basis for understanding the psychological drivers of users in the digital world. Business Intelligence, part of this digital experience, can learn some great lessons in how to engage users and revolutionize the user experience through the application of these game mechanics. In the tradition of BNL’s innovative spirit and as a sister laboratory in the Department of Energy laboratory complex, Idaho National Laboratory (INL) looks to determine how we can enhance the user experience through the effective application of game mechanics to Business Intelligence to meet the needs of our business.

  12. Real time production optimization

    Energy Technology Data Exchange (ETDEWEB)

    Saputelli, Luigi; Otavio, Joao; Araujo, Turiassu; Escorcia, Alvaro [Halliburton, Houston, TX (United States). Landmark Division

    2004-07-01

    Production optimization encompasses various activities of measuring, analyzing, modeling, prioritizing and implementing actions to enhance productivity of a field. We present a state-of-the-art framework for optimizing production on a continuous basis as new sensor data is acquired in real time. Permanently acquired data is modeled and analyzed in order to create predictive models. A model based control strategy is used to regulate well and field instrumentation. The optimum field operating point, which changes with time, satisfies the maximum economic return. This work is a starting point for further development in automatic, intelligent reservoir technologies which get the most out of the abilities of permanent, instrumented wells and remotely activated downhole completions. The strategy, tested with history-matched data from a compartmentalised giant field, proved to reduce operating costs while increasing oil recovery by 27% in this field. (author)

  13. SharePoint 2010 Business Intelligence 24-Hour Trainer

    CERN Document Server

    Jorgensen, Adam; Knight, Devin; LeBlanc, Patrick; Schacht, Brad

    2011-01-01

    Learn to build and deliver SharePoint BI applications Written by a team of leading SharePoint and Business Intelligence (BI) experts, this unique book-and-DVD package shows you how to successfully build and deliver BI applications using SharePoint 2010. Assuming no previous SharePoint experience, the authors deliver a clear explanation of what SharePoint will do for your BI and information management capabilities. Each lesson in the book is reinforced with a helpful tutorial on the DVD and cover topics such as interactive reporting with Excel, document sharing for collaborative reporting, and

  14. Representing real time semantics for distributed application integration

    NARCIS (Netherlands)

    Poon, P.M.S.; Dillon, T.S.; Chang, E.; Feng, L.

    Traditional real time system design and development are driven by technological requirements. With the ever growing complexity of requirements and the advances in software design, the alignment of focus has gradually been shifted to the perspective of business and industrial needs. This paper

  15. Teaching Real Business Cycles to Undergraduates

    Science.gov (United States)

    Brevik, Frode; Gartner, Manfred

    2007-01-01

    The authors review the graphical approach to teaching the real business cycle model introduced in Barro. They then look at where this approach cuts corners and suggest refinements. Finally, they compare graphical and exact models by means of impulse-response functions. The graphical models yield reliable qualitative results. Sizable quantitative…

  16. Cooperating Expert Systems for the Next Generation of Real-time Monitoring Applications

    Science.gov (United States)

    Schwuttke, U.; Veregge, J.; Quan, A.

    1995-01-01

    A distributed monitoring and diagnosis system has been developed and successfully applied to real-time monitoring of interplanetary spacecraft at NASA's Jet Propulsion Laboratory. This system uses a combination of conventional processing and artificial intelligence.

  17. The evaluation of external data resources for business intelligence applications: the example of the Czech Republic

    Directory of Open Access Journals (Sweden)

    Veronika Jasikova

    2012-01-01

    Full Text Available Contemporary business requires relevant data for appropriate, effective and reliable decisions. The concept of Business Intelligence which has been successfully established in a lot of organisations necessitates gathering relevant internal as well as external data which are often hardly acquirable. The aim of this paper is to analyse both the quality and availability of the sample of the external data resources on the basis of selected criteria and to enable the evaluation of their potential. The research reveals that the resources are currently not as suitable and utilisable for the purposes of Business Intelligence as they are expected to be. Although there are exceptions such as data provided by particular governmental or national institutions, the majority of external data resources does not correspond to the requirements posed to their availability, credibility, update regularity, stability and technical accessibility.

  18. Evaluasi Tata Kelola Sistem Informasi Business Intelligence pada Perusahaan Minuman Ringan

    Directory of Open Access Journals (Sweden)

    Yanis Aulia Rizki

    2016-12-01

    Full Text Available Abstract: Implementation of Business Intelligence (BI can fulfill complete information needs, qualified, and suitable for each business unit levels to improve the quality of management decision-making. This study aimed to evaluate the governance of BI on one of soft drinks company in Indonesia (PMRI. The evaluation consists of investigation resources information system with descriptive qualitative method, analysis level of maturity by using maturity models COBIT framework 4.1 and analysis of system quality, information quality and service quality which the variable adapted from DeLone and McClane Model and analyzed with Importance Performance Analyst (IPA analysis. Based on the results of investigation resources information system already supports the implementation of BI, but it needs to improve. Based on the result of overall measurement maturity process is already followed the correct rules with COBIT framework and level Maturity is between level: 2 - Repeatable and level: 4 - Managed. Furthermore, based on IPA analysis, low-performance quality system and become priorities for the improvement of PMRI is reliability, accessibility, and efficiency, and for the low performance in the quality of information is attributed accuracy and timeliness, and for the low performance in the quality of service is an attribute of reliability and responsiveness. Improvements focus on enhancement of BI performance, planning, and management. Keywords: Soft Drinks Company, IT Governance, Business Intelligence, COBIT Framework 4.1, Maturity Level, Importance-Performance Analysis (IPA

  19. Intelligent Flight Support System (IFSS): A Real-time Intelligent Decision Support Prototype, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — The integration of the analysis tools with the advanced visualization capabilities in The Intelligent Flight Support System (IFSS) can provide a unique method for...

  20. Data Processing Languages for Business Intelligence. SQL vs. R

    Directory of Open Access Journals (Sweden)

    Marin FOTACHE

    2016-01-01

    Full Text Available As data centric approach, Business Intelligence (BI deals with the storage, integration, processing, exploration and analysis of information gathered from multiple sources in various formats and volumes. BI systems are generally synonymous to costly, complex platforms that require vast organizational resources. But there is also an-other face of BI, that of a pool of data sources, applications, services developed at different times using different technologies. This is “democratic” BI or, in some cases, “fragmented”, “patched” (or “chaotic” BI. Fragmentation creates not only integration problems, but also supports BI agility as new modules can be quickly developed. Among various languages and tools that cover large extents of BI activities, SQL and R are instrumental for both BI platform developers and BI users. SQL and R address both monolithic and democratic BI. This paper compares essential data processing features of two languages, identifying similarities and differences among them and also their strengths and limits.

  1. Adoption of business intelligence insights towards inaugurate business performance of Malaysian halal food manufacturing

    Directory of Open Access Journals (Sweden)

    Mailasan Jayakrishnan

    2018-07-01

    Full Text Available Information System (IS is a strife to exploit Business Intelligence (BI in an organization. In the Malaysian Halal Food Manufacturing, a league of Information Technology (IT professional and decision makers is the architect of the perspective in IT. There are numerous research studies on utilizing and investigating strategic effects of environmental factors augmentation on the organizations, but compact information is acknowledged prevailing how the subjective conception for the strategic source of deci-sions is transformed into the objective principle. Hence, general interpretation of the IT professional and the decision makers is crucial for a comprehensive and collaborative decision-making process. Therefore, prosper stimulate assimilation of the environmental factors that persuade the knowledge integration between IT professionals and decision makers is compulsory. BI and Big Data (BD help organizations derive enhance decision-making process and knowledge creation. The objective of this research study is to emerge knowledge from organizing BD and to utilize BI together with perceiving MIT90s framework and environmental factors for the analysis of decision-making process of halal food manufacturers in Malaysia. The study applied regression analysis to predicted 103 responses to determine decision making of business performance. The results indicate that halal market demand played important role in predicting business performance of halal manufactures. This study provides some insights into decision making perspectives of business performance management among halal food manufacturers in Malaysia.

  2. The Microsoft Data Warehouse Toolkit With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

    CERN Document Server

    Mundy, Joy; Kimball, Ralph

    2011-01-01

    Best practices and invaluable advice from world-renowned data warehouse expertsIn this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming "Business Intelligence release" of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most

  3. Towards an Understanding of the Role of Business Intelligence Systems in Organisational Knowing

    DEFF Research Database (Denmark)

    Shollo, Arisa; Galliers, Robert D.

    2016-01-01

    Recent advances in information technology (IT), such as the advent of business intelligence (BI) systems, have increased the ability of organisations to collect and analyse data to support decisions. There is little focus to date, however, on how BI systems might play a role in organisational...

  4. Understanding business intelligence in the context of healthcare.

    Science.gov (United States)

    Mettler, Tobias; Vimarlund, Vivian

    2009-09-01

    In today's fast changing healthcare sector, decision makers are facing a growing demand for both clinical and administrative information in order to comply with legal and customer-specific requirements. The use of business intelligence (BI) is seen as a possible solution to this actual challenge. As the existing research about BI is primarily focused on the industrial sector, it is the aim of this contribution to translate and adapt the current findings for the healthcare context. For this purpose, different definitions of BI are examined and condensed in a framework. Furthermore, the sector-specific preconditions for the effective use and future role of BI are discussed.

  5. Investment Timing for New Business Ventures

    OpenAIRE

    George W. Blazenko; Andrey D. Pavlov

    2010-01-01

    A key requirement for the start of many entrepreneurial businesses is private equity or venture capital financing. In the traditional approach to entrepreneurial investment analysis, an entrepreneur starts a new venture and a venture capitalist finances the new venture when business return exceeds the financial opportunity cost for comparable risk the cost of capital for the new venture. The real options literature recommends that entrepreneurs delay business start due to investment irreversi...

  6. Designing and implementing transparency for real time inspection of autonomous robots

    Science.gov (United States)

    Theodorou, Andreas; Wortham, Robert H.; Bryson, Joanna J.

    2017-07-01

    The EPSRC's Principles of Robotics advises the implementation of transparency in robotic systems, however research related to AI transparency is in its infancy. This paper introduces the reader of the importance of having transparent inspection of intelligent agents and provides guidance for good practice when developing such agents. By considering and expanding upon other prominent definitions found in literature, we provide a robust definition of transparency as a mechanism to expose the decision-making of a robot. The paper continues by addressing potential design decisions developers need to consider when designing and developing transparent systems. Finally, we describe our new interactive intelligence editor, designed to visualise, develop and debug real-time intelligence.

  7. EFFECTIVENESS OF AGILE COMPARED TO WATERFALL IMPLEMENTATION METHODS IN IT PROJECTS: ANALYSIS BASED ON BUSINESS INTELLIGENCE PROJECTS

    Directory of Open Access Journals (Sweden)

    Kisielnicki Jerzy

    2017-10-01

    Full Text Available The global Business Intelligence (BI market grew by 7.3% in 2016 according to the Gartner report (2017. Today, organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics - Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However, traditional methods are not efficient for changing business needs. Long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements at the end of the project. This article presents the latest market trends in BI systems implementation by comparing agile with traditional methods. It presents a case study provided in a large telecommunications company (350 BI users and the results of a pilot research provided in the three large companies: media, digital, and insurance. Both studies prove that agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach.

  8. Empirical Investigation of Select Personality, Attitudinal, and Experience-Based Antecedents of Cultural Intelligence in Undergraduate Business Students

    Science.gov (United States)

    Kurpis, Lada V.

    2012-01-01

    Fostering cultural intelligence development in undergraduate business students should be one of the goals of diversity education in undergraduate business programs due to the demands of the increasingly global workplace of today. A number of personality-based (e.g., self-monitoring personality trait), attitudinal (e.g., preference for jobs…

  9. BUSINESS INTELLIGENCE APPLICATIONS – POSSIBLE INSTRUMENTS FOR ECONOMIC INTEGRATION WITHIN THE EASTERN PARTNERSHIP

    Directory of Open Access Journals (Sweden)

    Dragos Ovidiu TOFAN

    2016-10-01

    Full Text Available Eastern Partnership includes, in addition to bilateral components (Association Agreements, Deep and Comprehensive Free Trade Areas/DCFTA, also a multilateral dimension as "economic integration and convergence with EU policies". This stated purpose of the partnership involves the need for adaptability to regional conditions and a differentiated approach to economies in the region in order to establish common objectives. Partner countries have aspirations that vary by geographic location, state of relations with the European Union and Russia, foreign policy objectives in medium and long term, real prospects of joining the European Union, or internal stability in economic and social aspects. Macroeconomic indicators specific to each country must undergo a dynamic analysis aimed on current situations and also on evolution of economic life. Thus, it requires processing a huge volume of historical data, creating possible scenarios based on policies implemented or being implemented to reach comprehensive information to provide a realistic picture of the economic growth at the macro level. Successfully implemented in enterprises, Business Intelligence (BI applications can be used to analyze large volume of data required to be processed to reach full and useful reports for the process of negotiation between the partners involved in the agreements referred and, very importantly, to establish a common language for all bodies and institutions co-opted into negotiations. Differences between the EU and other Eastern Partnership countries are obvious but economic common terms and methods or techniques of similar work can help plan positive developments in the negotiations and the desired convergence of economic policies. Business Intelligence tools simplify the presentation of needed information for discussions and provide a foundation in starting up joint analysis of economic dynamics in the area to reach complete and actual lines of future possible

  10. Model business intelligence system design of quality products by using data mining in R Bakery Company

    Science.gov (United States)

    Fitriana, R.; Saragih, J.; Luthfiana, N.

    2017-12-01

    R Bakery company is a company that produces bread every day. Products that produced in that company have many different types of bread. Products are made in the form of sweet bread and wheat bread which have different tastes for every types of bread. During the making process, there were defects in the products which the defective product turns into reject product. Types of defects that are produced include burnt, sodden bread and shapeless bread. To find out the information about the defects that have been produced then by applying a designed model business intelligence system to create database and data warehouse. By using model business Intelligence system, it will generate useful information such as how many defect that produced by each of the bakery products. To make it easier to obtain such information, it can be done by using data mining method which data that we get is deep explored. The method of data mining is using k-means clustering method. The results of this intelligence business model system are cluster 1 with little amount of defect, cluster 2 with medium amount of defect and cluster 3 with high amount of defect. From OLAP Cube method can be seen that the defect generated during the 7 months period of 96,744 pieces.

  11. PROPOSTA PARA IMPLANTAÇÃO DE BUSINESS INTELLIGENCE EM SHOPPING CENTER

    Directory of Open Access Journals (Sweden)

    Oswaldo Moreira Pereira

    2016-06-01

    Full Text Available The aim of the present job was to study the concepts involved in the business intelligence process to propose a solution that supports strategic decision with focus on shopping centers use. The BI technology proposed make use of SQL Server database and its tools that allows the multidimensional modeling, the transformation of data into strategic knowledge and the presentation of the results by the analytical processing information.

  12. BUSINESS INTELLIGENCE IN DECISION MAKING ON THE LABOR MARKET OF THE REPUBLIC OF MOLDOVA

    Directory of Open Access Journals (Sweden)

    Galina GLOBA

    2013-12-01

    Full Text Available Implementation of the business intelligence concept is enabling new opportunities for the labor market research and management. Labor market intelligence means a competent decision making process in the labor market. Such process should be based on the comprehensive set of analytical technologies and tools. The analysis of online information available at websites of state organizations working in the labor market of the Republic of Moldova has shown that many them are still at the very beginning of the effective data using.

  13. Visualization of E-commerce Transaction Data : USING BUSINESS INTELLIGENCE TOOLS

    OpenAIRE

    Safari, Arash

    2015-01-01

    Customer Value(CV) is a data analytics company experiencing problems presenting the result of their analytics in a satisfiable manner. As a result, they considered the use of a data visualization and business intelligence softwares. The purpose of such softwares are to, amongst other things, virtually represent data in an interactive and perceptible manner to the viewer. There are however a large number of these types of applications on the market, making it hard for companies to find the one...

  14. Business intelligence: using insight to improve the value and performance of your practice.

    Science.gov (United States)

    Coan, Tim

    2007-01-01

    Using information to improve the value of your practice can be a great way to create leverage and improve the performance of your practice. Business intelligence (BI) is the result of a complete system that produces meaningful insights by providing the information necessary to make business decisions. Changes made from these insights improve both the performance and value of your practice. It is important to identify the key elements required of a good BI system and the areas within a practice that can directly benefit from an effective BI system.

  15. Occam’s Follies: Real and Imagined Biases Facing Intelligence Studies

    Directory of Open Access Journals (Sweden)

    Matthew Crosston

    2013-08-01

    Full Text Available More than a decade removed from 9/11 many across the academic and intelligence communities profess the importance for greater collaboration and cooperation. This mutual diffusion of knowledge, methods, and research would ideally produce both a stronger Intelligence Studies discipline and new talented cadres for both communities. The emphasis is not just logical because of the continued relevance of traditional threats, but is also common sense when considering new challenges represented by emerging threat issues and an oncoming demographic crisis: the fast-approaching retirement of the baby boom generation means a new generation of scholars and practitioners is rising now. Developing that new talent, however, has not been nearly as collaborative, cooperative, or smooth as it could be. This analysis examines the problems preventing real engagement and sincere knowledge diffusion between the academic and intelligence communities. These problems go beyond platitudes about confidential materials and top secret clearances, but hint at underlying prejudices on both sides that only exacerbate attitudinal bias. If not overcome this problem threatens to undermine both the capabilities of future Intelligence Community practitioners and the quality of academic community scholars within Intelligence Studies.

  16. Real-time embedded systems open-source operating systems perspective

    CERN Document Server

    Bertolotti, Ivan Cibrario

    2012-01-01

    From the Foreword: "!the presentation of real-time scheduling is probably the best in terms of clarity I have ever read in the professional literature. Easy to understand, which is important for busy professionals keen to acquire (or refresh) new knowledge without being bogged down in a convoluted narrative and an excessive detail overload. The authors managed to largely avoid theoretical-only presentation of the subject, which frequently affects books on operating systems. ! an indispensable [resource] to gain a thorough understanding of the real-time systems from the operating systems p

  17. Real-time electricity pricing mechanism in China based on system dynamics

    International Nuclear Information System (INIS)

    He, Yongxiu; Zhang, Jixiang

    2015-01-01

    Highlights: • The system dynamics is used to research the real-time electricity pricing mechanism. • Four kinds of the real-time electricity pricing models are carried out and simulated. • It analysed the electricity price, the user satisfaction and the social benefits under the different models. • Market pricing is the trend of the real-time electricity pricing mechanism. • Initial development path of the real-time price mechanism for China is designed between 2015 and 2030. - Abstract: As an important means of demand-side response, the reasonable formulation of the electricity price mechanism will have an important impact on the balance between the supply and demand of electric power. With the introduction of Chinese intelligence apparatus and the rapid development of smart grids, real-time electricity pricing, as the frontier electricity pricing mechanism in the smart grid, will have great significance on the promotion of energy conservation and the improvement of the total social surplus. From the perspective of system dynamics, this paper studies different real-time electricity pricing mechanisms based on load structure, cost structure and bidding and analyses the situation of user satisfaction and the total social surplus under different pricing mechanisms. Finally, through the comparative analysis of examples under different real-time pricing scenarios, this paper aims to explore and design the future dynamic real-time electricity pricing mechanism in China, predicts the dynamic real-time pricing level and provides a reference for real-time electricity price promotion in the future

  18. A survey of open source tools for business intelligence

    DEFF Research Database (Denmark)

    Thomsen, Christian; Pedersen, Torben Bach

    2005-01-01

    The industrial use of open source Business Intelligence (BI) tools is not yet common. It is therefore of interest to explore which possibilities are available for open source BI and compare the tools. In this survey paper, we consider the capabilities of a number of open source tools for BI....... In the paper, we consider three Extract-Transform-Load (ETL) tools, three On-Line Analytical Processing (OLAP) servers, two OLAP clients, and four database management systems (DBMSs). Further, we describe the licenses that the products are released under. It is argued that the ETL tools are still not very...

  19. The Curriculum Improvement Project in Business Careers Programs: Business Manager, Officer Administrator, Real Estate Agent, Real Estate Broker.

    Science.gov (United States)

    College of the Mainland, Texas City, TX.

    In 1987, the College of the Mainland undertook a project to update curricula in real estate, business management, and office technology. The project entailed a survey of the labor market to clarify personnel needs in selected fields; the use of the DACUM (Developing a Curriculum) process, which involved expert workers in the creation of task…

  20. 76 FR 70680 - Small Business Size Standards: Real Estate and Rental and Leasing

    Science.gov (United States)

    2011-11-15

    ... eligibility for Federal small business assistance, SBA establishes small business size definitions (referred... business definition or size standard established by the SBA Administrator. SBA considers as part of its... SMALL BUSINESS ADMINISTRATION 13 CFR Part 121 RIN 3245-AG28 Small Business Size Standards: Real...

  1. Business intelligence and data warehouse programs in higher education institutions: current status and recommendations for improvement

    Directory of Open Access Journals (Sweden)

    Olga Marinova

    2016-11-01

    Full Text Available The purpose of this article is to explore the current situation and the main challenges in existing Business Intelligence (BI and Data Warehouse (DW curricula. On the base of this research, certain recommendations for their improvement are made. At the same time, the paper gives concrete guidelines for the development of a clear and comprehensive graduate profile with knowledge, skills and social competence in the field of BI and DW. This is particularly beneficial for universities and other higher education institutions, that seek to offer courses with high quality content and tendencies, adequate to the latest education, in the concerned area. The paper is written within the Erasmus plus KA2 project “Developing the innovative methodology of teaching Business Informatics” (DIMBI, 2015-1-PL01-KA203-0016636.

  2. Real-time video analysis for retail stores

    Science.gov (United States)

    Hassan, Ehtesham; Maurya, Avinash K.

    2015-03-01

    With the advancement in video processing technologies, we can capture subtle human responses in a retail store environment which play decisive role in the store management. In this paper, we present a novel surveillance video based analytic system for retail stores targeting localized and global traffic estimate. Development of an intelligent system for human traffic estimation in real-life poses a challenging problem because of the variation and noise involved. In this direction, we begin with a novel human tracking system by an intelligent combination of motion based and image level object detection. We demonstrate the initial evaluation of this approach on available standard dataset yielding promising result. Exact traffic estimate in a retail store require correct separation of customers from service providers. We present a role based human classification framework using Gaussian mixture model for this task. A novel feature descriptor named graded colour histogram is defined for object representation. Using, our role based human classification and tracking system, we have defined a novel computationally efficient framework for two types of analytics generation i.e., region specific people count and dwell-time estimation. This system has been extensively evaluated and tested on four hours of real-life video captured from a retail store.

  3. Reflexive reasoning for distributed real-time systems

    Science.gov (United States)

    Goldstein, David

    1994-01-01

    This paper discusses the implementation and use of reflexive reasoning in real-time, distributed knowledge-based applications. Recently there has been a great deal of interest in agent-oriented systems. Implementing such systems implies a mechanism for sharing knowledge, goals and other state information among the agents. Our techniques facilitate an agent examining both state information about other agents and the parameters of the knowledge-based system shell implementing its reasoning algorithms. The shell implementing the reasoning is the Distributed Artificial Intelligence Toolkit, which is a derivative of CLIPS.

  4. Measuring Business Cycle Time.

    OpenAIRE

    Stock, James H

    1987-01-01

    The business cycle analysis of Arthur F. Burns and Wesley C. Mitchell and the National Bureau of Economic Research presumed that aggregate economic variables evolve on a time scale defined by business cycle turning points rather than by months or quarters. Do macroeconomic variables appear to evolve on an economic rather than a calendar time scale? Evidence presented here suggests that they do. However, the estimated economic time scales are only weakly related to business cycle time scales, ...

  5. Intelligence amplification framework for enhancing scheduling processes

    NARCIS (Netherlands)

    Dobrkovic, Andrej; Liu, Luyao; Iacob, Maria Eugenia; van Hillegersberg, Jos

    2016-01-01

    The scheduling process in a typical business environment consists of predominantly repetitive tasks that have to be completed in limited time and often containing some form of uncertainty. The intelligence amplification is a symbiotic relationship between a human and an intelligent agent. This

  6. Using business intelligence for efficient inter-facility patient transfer.

    Science.gov (United States)

    Haque, Waqar; Derksen, Beth Ann; Calado, Devin; Foster, Lee

    2015-01-01

    In the context of inter-facility patient transfer, a transfer operator must be able to objectively identify a destination which meets the needs of a patient, while keeping in mind each facility's limitations. We propose a solution which uses Business Intelligence (BI) techniques to analyze data related to healthcare infrastructure and services, and provides a web based system to identify optimal destination(s). The proposed inter-facility transfer system uses a single data warehouse with an Online Analytical Processing (OLAP) cube built on top that supplies analytical data to multiple reports embedded in web pages. The data visualization tool includes map based navigation of the health authority as well as an interactive filtering mechanism which finds facilities meeting the selected criteria. The data visualization is backed by an intuitive data entry web form which safely constrains the data, ensuring consistency and a single version of truth. The overall time required to identify the destination for inter-facility transfers is reduced from hours to a few minutes with this interactive solution.

  7. Towards Intelligent Supply Chains

    DEFF Research Database (Denmark)

    Siurdyban, Artur; Møller, Charles

    2012-01-01

    applied to the context of organizational processes can increase the success rate of business operations. The framework is created using a set of theoretical based constructs grounded in a discussion across several streams of research including psychology, pedagogy, artificial intelligence, learning...... of deploying inapt operations leading to deterioration of profits. To address this problem, we propose a unified business process design framework based on the paradigm of intelligence. Intelligence allows humans and human-designed systems cope with environmental volatility, and we argue that its principles......, business process management and supply chain management. It outlines a number of system tasks combined in four integrated management perspectives: build, execute, grow and innovate, put forward as business process design propositions for Intelligent Supply Chains....

  8. High-speed railway real-time localization auxiliary method based on deep neural network

    Science.gov (United States)

    Chen, Dongjie; Zhang, Wensheng; Yang, Yang

    2017-11-01

    High-speed railway intelligent monitoring and management system is composed of schedule integration, geographic information, location services, and data mining technology for integration of time and space data. Assistant localization is a significant submodule of the intelligent monitoring system. In practical application, the general access is to capture the image sequences of the components by using a high-definition camera, digital image processing technique and target detection, tracking and even behavior analysis method. In this paper, we present an end-to-end character recognition method based on a deep CNN network called YOLO-toc for high-speed railway pillar plate number. Different from other deep CNNs, YOLO-toc is an end-to-end multi-target detection framework, furthermore, it exhibits a state-of-art performance on real-time detection with a nearly 50fps achieved on GPU (GTX960). Finally, we realize a real-time but high-accuracy pillar plate number recognition system and integrate natural scene OCR into a dedicated classification YOLO-toc model.

  9. Real time water chemistry monitoring and diagnostics

    International Nuclear Information System (INIS)

    Gaudreau, T.M.; Choi, S.S.

    2002-01-01

    EPRI has produced a real time water chemistry monitoring and diagnostic system. This system is called SMART ChemWorks and is based on the EPRI ChemWorks codes. System models, chemistry parameter relationships and diagnostic approaches from these codes are integrated with real time data collection, an intelligence engine and Internet technologies to allow for automated analysis of system chemistry. Significant data management capabilities are also included which allow the user to evaluate data and create automated reporting. Additional features have been added to the system in recent years including tracking and evaluation of primary chemistry as well as the calculation and tracking of primary to secondary leakage in PWRs. This system performs virtual sensing, identifies normal and upset conditions, and evaluates the consistency of on-line monitor and grab sample readings. The system also makes use of virtual fingerprinting to identify the cause of any chemistry upsets. This technology employs plant-specific data and models to determine the chemical state of the steam cycle. (authors)

  10. An Approach for Real-time Levee Health Monitoring Using Signal Processing Methods

    NARCIS (Netherlands)

    Pyayt, A.L.; Kozionov, A.P.; Mokhov, I.I.; Lang, B.; Krzhizhanovskaya, V.V.; Sloot, P.M.A.

    2013-01-01

    We developed a levee health monitoring system within the UrbanFlood project funded under the EU 7th Framework Programme. A novel real-time levee health assessment Artificial Intelligence system is developed using data-driven methods. The system is implemented in the UrbanFlood early warning system.

  11. Using Sun’s Java Real-Time System to Manage Behavior-Based Mobile Robot Controllers

    Directory of Open Access Journals (Sweden)

    Andrew McKenzie

    2011-01-01

    Full Text Available Implementing a robot controller that can effectively manage limited resources in a deterministic, real-time manner is challenging. Behavior-based architectures that decompose autonomy into levels of intelligence are popular due to their robustness but do not provide real-time features that enforce timing constraints or support determinism. We propose an architecture and approach for using the real-time features of the Real-Time Specification for Java (RTSJ in a behavior-based mobile robot controller to show that timing constraints affect performance. This is accomplished by extending a real-time aware architecture that explicitly enumerates timing requirements for each behavior. It is not enough to reduce latency. The usefulness of this approach is demonstrated via an implementation on Solaris 10 and the Sun Java Real-Time System (Java RTS. Experimental results are obtained using a K-team Koala robot performing path following with four composite behaviors. Experiments were conducted using several task period sets in three cases: real-time threads with the real-time garbage collector, real-time threads with the non- real-time garbage collector, and non-real-time threads with the non-real-time garbage collector. Results show that even if latency and determinism are improved, the timing of each individual behavior significantly affects task performance.

  12. Developing a real-time emulation of multiresolutional control architectures for complex, discrete-event systems

    Energy Technology Data Exchange (ETDEWEB)

    Davis, W.J.; Macro, J.G.; Brook, A.L. [Univ. of Illinois, Urbana, IL (United States)] [and others

    1996-12-31

    This paper first discusses an object-oriented, control architecture and then applies the architecture to produce a real-time software emulator for the Rapid Acquisition of Manufactured Parts (RAMP) flexible manufacturing system (FMS). In specifying the control architecture, the coordinated object is first defined as the primary modeling element. These coordinated objects are then integrated into a Recursive, Object-Oriented Coordination Hierarchy. A new simulation methodology, the Hierarchical Object-Oriented Programmable Logic Simulator, is then employed to model the interactions among the coordinated objects. The final step in implementing the emulator is to distribute the models of the coordinated objects over a network of computers and to synchronize their operation to a real-time clock. The paper then introduces the Hierarchical Subsystem Controller as an intelligent controller for the coordinated object. The proposed approach to intelligent control is then compared to the concept of multiresolutional semiosis that has been developed by Dr. Alex Meystel. Finally, the plans for implementing an intelligent controller for the RAMP FMS are discussed.

  13. Real-time systems

    OpenAIRE

    Badr, Salah M.; Bruztman, Donald P.; Nelson, Michael L.; Byrnes, Ronald Benton

    1992-01-01

    This paper presents an introduction to the basic issues involved in real-time systems. Both real-time operating sys and real-time programming languages are explored. Concurrent programming and process synchronization and communication are also discussed. The real-time requirements of the Naval Postgraduate School Autonomous Under Vehicle (AUV) are then examined. Autonomous underwater vehicle (AUV), hard real-time system, real-time operating system, real-time programming language, real-time sy...

  14. A cost-effective intelligent robotic system with dual-arm dexterous coordination and real-time vision

    Science.gov (United States)

    Marzwell, Neville I.; Chen, Alexander Y. K.

    1991-01-01

    Dexterous coordination of manipulators based on the use of redundant degrees of freedom, multiple sensors, and built-in robot intelligence represents a critical breakthrough in development of advanced manufacturing technology. A cost-effective approach for achieving this new generation of robotics has been made possible by the unprecedented growth of the latest microcomputer and network systems. The resulting flexible automation offers the opportunity to improve the product quality, increase the reliability of the manufacturing process, and augment the production procedures for optimizing the utilization of the robotic system. Moreover, the Advanced Robotic System (ARS) is modular in design and can be upgraded by closely following technological advancements as they occur in various fields. This approach to manufacturing automation enhances the financial justification and ensures the long-term profitability and most efficient implementation of robotic technology. The new system also addresses a broad spectrum of manufacturing demand and has the potential to address both complex jobs as well as highly labor-intensive tasks. The ARS prototype employs the decomposed optimization technique in spatial planning. This technique is implemented to the framework of the sensor-actuator network to establish the general-purpose geometric reasoning system. The development computer system is a multiple microcomputer network system, which provides the architecture for executing the modular network computing algorithms. The knowledge-based approach used in both the robot vision subsystem and the manipulation control subsystems results in the real-time image processing vision-based capability. The vision-based task environment analysis capability and the responsive motion capability are under the command of the local intelligence centers. An array of ultrasonic, proximity, and optoelectronic sensors is used for path planning. The ARS currently has 18 degrees of freedom made up by two

  15. Business resilience system (BRS) driven through Boolean, fuzzy logics and cloud computation real and near real time analysis and decision making system

    CERN Document Server

    Zohuri, Bahman

    2017-01-01

    This book provides a technical approach to a Business Resilience System with its Risk Atom and Processing Data Point based on fuzzy logic and cloud computation in real time. Its purpose and objectives define a clear set of expectations for Organizations and Enterprises so their network system and supply chain are totally resilient and protected against cyber-attacks, manmade threats, and natural disasters. These enterprises include financial, organizational, homeland security, and supply chain operations with multi-point manufacturing across the world. Market shares and marketing advantages are expected to result from the implementation of the system. The collected information and defined objectives form the basis to monitor and analyze the data through cloud computation, and will guarantee the success of their survivability's against any unexpected threats. This book will be useful for advanced undergraduate and graduate students in the field of computer engineering, engineers that work for manufacturing com...

  16. Implementing a Business Intelligence Environment in Local Market of Pakistan

    Directory of Open Access Journals (Sweden)

    FARIA JAMEEL

    2017-04-01

    Full Text Available The BI (Business Intelligence has gained great success during the last decade throughout the world to aid in decision support with the availability of necessary knowledge to reduce costs, increase revenues and minimize risks. The local market of Pakistan is still not very much aware of its benefits, except some multinationals which are using these tools since almost 7-8 years and earning more revenues and improved performances and a few others are under the process of implementation. The small and medium sized businesses of our local market are focused for the implementation of BI. The pros and cons are identified by analysing the BI tools being used by other large companies here in Pakistan and feasibility of these tools at small and medium enterprises is discussed so that they too may focus on their KPIs (Key Performance Indicator to increase their performance level.

  17. Data processing system for real-time control

    International Nuclear Information System (INIS)

    Oasa, K.; Mochizuki, O.; Toyokawa, R.; Yahiro, K.

    1983-01-01

    Real-time control, for large Tokamak JT-60, requires various data processings between diagnostic devices to control system. These processings require to high speed performance so that it aims at giving information necessary for feedback control during discharges. Then, the architecture of this system has hierachical structure of processors. These processors are connected each other by the CAMAC modules and the optical communication network, which is the 5 M bytes/second CAMAC serial highway. This system has two kinds of intelligences for this purpose. One is ACM-PU pairs in some torus hall crates which has a microcomputerized auxiliary controller and a preprocessing unit. Other is real-time processor which has a minicomputer and preprocessing unit. Most of the real-time processing, for example Abel inversion are characteristic to the diagnostic devices. Such a processing is carried out by an ACM-PU pair in the crate dedicated to the diagnostic device. Some processings, however, are also necessary which compute secondary parameters as functions of primary parameters. A typical example is Zeff, which is a function of Te, Ne and bremsstrahluny intensity. The real-time processor is equipped for such secondary processings and transfer the results. Preprocessing unit -PU- attached to ACM and real-time processor contains a signal processor, which executes in parallel such function as move, add and multiply during one micro-instruction cycle of 200 nsec. According to the progress of the experiment, more high speed processing are required, so the authors developed the PU-X module that contains multi signal processors. After a shot, inter-shot-processor which consists of general-purpose computers, gathers data into the database, then analyze them, and improve these processes to more effective

  18. Porovnanie implementácie Business Intelligence pomocou open source riešení pre stredne veľké spoločnosti

    OpenAIRE

    Schmidt, Róbert

    2016-01-01

    The main goal of master thesis is to analyze and propose possible low cost Business Intelligence solution with open source technologies and comparison of available tools for implementation in middle size company. We compare Pentaho and Jaspersoft tools implemented on local hardware and cloud environment with Microsoft Azure services. The theoretical part focuses mainly on understanding the business intelligence and its architecture, because architecture is an important part of the work. Actua...

  19. Army Reserve Military Intelligence: Time for Change

    Science.gov (United States)

    2010-04-20

    Miramax Books, 2002. Goleman , Daniel . Emotional Intelligence . New York: Bantam Books, 1997. Goleman , Daniel , Richard Boyatzis, and Annie McKee...or position of the Department of the Army, Department of Defense, or the U.S. Government. ARMY RESERVE MILITARY INTELLIGENCE : TIME FOR CHANGE...Research Project 3. DATES COVERED 00-00-2009 to 00-00-2010 4. TITLE AND SUBTITLE Army Reserve Military Intelligence : Time for Change 5a

  20. Wide area surveillance real-time motion detection systems

    CERN Document Server

    2014-01-01

    The book describes a system for visual surveillance using intelligent cameras. The camera uses robust techniques for detecting and tracking moving objects. The real time capture of the objects is then stored int he database. The tracking data stored in the database is analysed to study the camera view, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system.

  1. Incorporating the knowledge management cycle in e-business

    NARCIS (Netherlands)

    O, Y.L.; Gordijn, Jaap; Akkermans, Hans

    2001-01-01

    In e-business, knowledge can be extracted from the recorded information by intelligent data analysis and then utilised in the business transaction. E-knowledge is a foundation for e-business. E-business can be supported by an intelligent information system that provides intelligent business process

  2. Before and Beyond Anticipatory Intelligence: Assessing the Potential for Crowdsourcing and Intelligence Studies

    Directory of Open Access Journals (Sweden)

    Alexander Halman

    2015-10-01

    Full Text Available Crowdsourcing is a new tool for businesses, academics, and now intelligence analysts. Enabled by recent technology, crowdsourcing allows researchers to harness the wisdom of crowds and provide recommendations and insight into complex problems. This paper examines the potential benefits and limitations of crowdsourcing for intelligence analysis and the intelligence community beyond its primary use: anticipatory intelligence. The author constructs a model and compares it to existing crowdsourcing theories in business, information science, and public policy. Finally, he offers advice for intelligence analysis and public policy.

  3. The Implications of Integrating Governance, Risk and Compliance in Business Intelligence Systems on Corporate Performance Management

    NARCIS (Netherlands)

    J.J. Madlener (Jos)

    2009-01-01

    textabstractThe last decade organizations have understood more and more the importance of enforcing achievement of the goals defined by their strategy through metrics-driven management. The data warehousing process in Business Intelligence Systems, though supporting bottomup extraction of

  4. Informatics in radiology: automated Web-based graphical dashboard for radiology operational business intelligence.

    Science.gov (United States)

    Nagy, Paul G; Warnock, Max J; Daly, Mark; Toland, Christopher; Meenan, Christopher D; Mezrich, Reuben S

    2009-11-01

    Radiology departments today are faced with many challenges to improve operational efficiency, performance, and quality. Many organizations rely on antiquated, paper-based methods to review their historical performance and understand their operations. With increased workloads, geographically dispersed image acquisition and reading sites, and rapidly changing technologies, this approach is increasingly untenable. A Web-based dashboard was constructed to automate the extraction, processing, and display of indicators and thereby provide useful and current data for twice-monthly departmental operational meetings. The feasibility of extracting specific metrics from clinical information systems was evaluated as part of a longer-term effort to build a radiology business intelligence architecture. Operational data were extracted from clinical information systems and stored in a centralized data warehouse. Higher-level analytics were performed on the centralized data, a process that generated indicators in a dynamic Web-based graphical environment that proved valuable in discussion and root cause analysis. Results aggregated over a 24-month period since implementation suggest that this operational business intelligence reporting system has provided significant data for driving more effective management decisions to improve productivity, performance, and quality of service in the department.

  5. A Survey of Open Source Tools for Business Intelligence

    DEFF Research Database (Denmark)

    Thomsen, Christian; Pedersen, Torben Bach

    The industrial use of open source Business Intelligence (BI) tools is becoming more common, but is still not as widespread as for other types of software.  It is therefore of interest to explore which possibilities are available for open source BI and compare the tools. In this survey paper, we c......The industrial use of open source Business Intelligence (BI) tools is becoming more common, but is still not as widespread as for other types of software.  It is therefore of interest to explore which possibilities...... are available for open source BI and compare the tools. In this survey paper, we consider the capabilities of a number of open source tools for BI. In the paper, we consider a number of Extract‐Transform‐Load (ETL) tools, database management systems (DBMSs), On‐Line Analytical Processing (OLAP) servers, and OLAP clients. We find that, unlike the situation a few years ago, there now...

  6. RCNF: Real-time Collaborative Network Forensic Scheme for Evidence Analysis

    OpenAIRE

    Moustafa, Nour; Slay, Jill

    2017-01-01

    Network forensic techniques help in tracking different types of cyber attack by monitoring and inspecting network traffic. However, with the high speed and large sizes of current networks, and the sophisticated philosophy of attackers, in particular mimicking normal behaviour and/or erasing traces to avoid detection, investigating such crimes demands intelligent network forensic techniques. This paper suggests a real-time collaborative network Forensic scheme (RCNF) that can monitor and inves...

  7. A strategic analysis of Business Objects' portal application

    OpenAIRE

    Kristinsson, Olafur Oskar

    2007-01-01

    Business Objects is the leading software firm producing business intelligence software. Business intelligence is a growing market. Small to medium businesses are increasingly looking at business intelligence. Business Objects' flagship product in the enterprise market is Business Objects XI and for medium-size companies it has Crystal Decisions. Portals are the front end for the two products. InfoView, Business Objects portal application, lacks a long-term strategy. This analysis evaluates...

  8. Implementation of Business Intelligence in An IT Organization - The Concept of An Evaluation Model

    Directory of Open Access Journals (Sweden)

    Sitek Tomasz

    2014-08-01

    Full Text Available This paper presents the issue of assessing the validity and effectiveness of implementing a Business Intelligence system in an IT Support Organization. This entity provides IT services to external clients involving, in particular, the storage and processing of large amounts of data. The vast amount of realized projects and also incidents reported in connection with those projects prevented effective decisions from being made without the support of dedicated technologies. The authors present the problems encountered by the studied entity and describe the tool that was selected to improve the situation. The aim of this study is to measure and describe the key processes in the organization on the basis of prepared aggregated measures, first prior to the implementation of the BI system and then a year after its implementation. The evaluation model developed by the authors allowed the assessment of the key aspects of the company’s operation over 2 years. It thus helped decision makers to establish whether the decision to implement the Business Intelligence system was correct or not.

  9. V-Man Generation for 3-D Real Time Animation. Chapter 5

    Science.gov (United States)

    Nebel, Jean-Christophe; Sibiryakov, Alexander; Ju, Xiangyang

    2007-01-01

    The V-Man project has developed an intuitive authoring and intelligent system to create, animate, control and interact in real-time with a new generation of 3D virtual characters: The V-Men. It combines several innovative algorithms coming from Virtual Reality, Physical Simulation, Computer Vision, Robotics and Artificial Intelligence. Given a high-level task like "walk to that spot" or "get that object", a V-Man generates the complete animation required to accomplish the task. V-Men synthesise motion at runtime according to their environment, their task and their physical parameters, drawing upon its unique set of skills manufactured during the character creation. The key to the system is the automated creation of realistic V-Men, not requiring the expertise of an animator. It is based on real human data captured by 3D static and dynamic body scanners, which is then processed to generate firstly animatable body meshes, secondly 3D garments and finally skinned body meshes.

  10. Using Real Datasets for Interdisciplinary Business/Economics Projects

    Science.gov (United States)

    Goel, Rajni; Straight, Ronald L.

    2005-01-01

    The workplace's global and dynamic nature allows and requires improved approaches for providing business and economics education. In this article, the authors explore ways of enhancing students' understanding of course material by using nontraditional, real-world datasets of particular interest to them. Teaching at a historically Black university,…

  11. Enhance hospital performance from intellectual capital to business intelligence.

    Science.gov (United States)

    Karami, Mahtab; Fatehi, Mansoor; Torabi, Mashallah; Langarizadeh, Mostafa; Rahimi, Azin; Safdari, Reza

    2013-01-01

    Business intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decision making. The aim of this study is to provide a general overview of BI and its impacts on improving hospital performance. In this paper, literature is reviewed on the concept, classification, and structure of intellectual capital and BI. Research on the building of BI and its impact on the performance of hospitals are briefly summarized. Some areas in healthcare which can utilize BI benefits, including radiology, are also discussed. Used properly, BI is an effective communication tool that can enable hospitals to reach strategic goals and objectives and can also help eliminate information asymmetry.

  12. Analysing the Role of Business Intelligence, Knowledge Sharing and Organisational Innovation on Gaining Competitive Advantage

    Science.gov (United States)

    Eidizadeh, Rosa; Salehzadeh, Reza; Chitsaz Esfahani, Ali

    2017-01-01

    Purpose: This paper aims to study the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage. Design/Methodology/Approach: The statistical population of the study was the managers and the specialists of some export companies of which 213 persons participated in this research. Path analysis…

  13. BUSINESS INTELLIGENCE ADOPTION IN LARGE ROMANIAN COMPANIES

    Directory of Open Access Journals (Sweden)

    Flavia CAIA

    2014-11-01

    Full Text Available The economic conditions and market competition create pressures on companies to adopt new technologies that can provide more efficient information and can support decision-making better. The purpose of the research is to investigate the decision support information systems in order to apprise and enhance the capacity of the entities to apply the new knowledge that BI produces for organizational success and competitiveness. The importance of the conducted research consists in identifying solutions to improve reporting and stimulate the entities to start using business intelligence (BI technologies, which facilitate obtaining new information, in order to ensure flexibility, resilience and provide answers to questions that go beyond what the pre-defined reports can do to support decision-making. The estimated result is a technical and operational overview of the large companies in Romania, drawing future directions for an improved competitive behaviour and strategic awareness, and identifying the significant factors for optimizing the decision-making process.

  14. Developing human capital by linking emotional intelligence with personal competencies in Indian business organizations

    Directory of Open Access Journals (Sweden)

    Singh, K.

    2010-01-01

    Full Text Available The concept of emotional intelligence has become so popular in the management literature that it has become imperative to understand and leverage it for the sake of enhancing the capacity of human capital in organizations. As the pace of change is increasing and world of work is making ever greater demands on a person’s cognitive, emotional and physical resources, this particular set of abilities are becoming increasingly important. Since majority of the concerns in organization involve people in different roles, emotional intelligence must become a determining factor for their effective management. It has also been found that ultimately it is the emotional and personal competencies that we need to identify and measure if we want to be able to predict performance at workplace resulting in its effectiveness, thereby enhancing the worth of the human capital. In this scenario the competencies possessed by the people will have a bearing on the extent to which they can actualize their emotional intelligence. The current paper sets out to examine the relationship between the emotional intelligence of executives in Indian business organizations with their personal competencies. The result suggests that emotional intelligence is significantly related with the personal competencies of employees and the variables of personal competency namely, people success, system success and self success have a predictive relationship with emotional intelligence.

  15. The Impact of Business Intelligence Tools on Performance: A User Satisfaction Paradox?

    OpenAIRE

    Bernhard Wieder; Maria-Luise Ossimitz; Peter Chamoni

    2012-01-01

    While Business Intelligence (BI) initiatives have been a top-priority of CIOs around the world for several years, accounting for billions of USD of IT investments per annum (IDC), academic research on the actual benefits derived from BI tools and the drivers of these benefits remain sparse. This paper reports the findings of an exploratory, cross-sectional field study investigating the factors that define and drive benefits associated with the deployment of dedicated BI tools. BI is broadly d...

  16. ENERGY AUDIT ANALYSIS BY BUSINESS INTELLIGENCE APPLICATION

    Directory of Open Access Journals (Sweden)

    Alfa Firdaus

    2015-12-01

    Full Text Available Energy audit is one of the first tasks to be performed in the accomplishment of an effective energy cost control program. To obtain the best information for a successful energy audit, the auditor must make some measurements during the audit visit. One of the tools that primarily used in audit visit is the portable Power Quality Analyzers (PQA for measuring single to three-phase lines with a high degree of precision and accuracy. It is utilized for monitoring and recording power supply anomalies. For most survey applications, changing currents makes it mandatory for data to be compiled over a period of time with enormous amount of electricity data. Hence, this paper proposed a Business Intelligence approach that can facilitate the auditor to quickly analyze the PQA data. There are five Key Performance Indicators (KPI to be displayed for analyze in form of dashboard. The method that uses to construct the dashboard is classification and association rules with the help of orange dataminer tools. Classification method is utilized to display the data distributions by frequency on a bar chart. Once we got the frequent sets, they allow us to extract association rules among the item sets, where we make some statement about how likely are two sets of items to co-occur or to conditionally occur. The result of this paper is a dashboard of five scorecards, namely unbalanced voltage, unbalanced currents, voltage harmonic, currents harmonic, and power factor. 

  17. Real-time control environment for the RFX experiment

    International Nuclear Information System (INIS)

    Barana, O.; Cavinato, M.; Luchetta, A.; Manduchi, G.; Taliercio, C.

    2005-01-01

    A comprehensive set of control schemes can be presently implemented on RFX due to the enhanced load assembly and renewed power supply system. The schemes include: plasma equilibrium control and resistive wall mode stabilization, aiming at controlling actively the discharge when the passive action of the shell vanishes; the rotation of the localised helical deformation to minimize the enhanced plasma-wall interaction; the MHD mode control and the 'intelligent shell', aiming at achieving a better comprehension of the underlying physics. To the purpose, an integrated, distributed, digital system has been developed consisting of a set of computing nodes. Each node can act either as pre-processing or control station, the former acquiring raw data and computing intermediate control parameters, the latter executing control algorithms and driving the power amplifiers. An overview of the system architecture is presented in the paper with reference to the software real-time environment providing both basic functions, such as data read-out and real-time communication, and useful tools to program control algorithms, to perform simulations and to commission the system. To simulate the control schemes, the real-time environment is extended to include a so called 'simulation mode', in which the real-time nodes exchange their input/output signals with one station running a suitable model of the experiment, for instance the two dimensional FEM code MAXFEA in the case of the equilibrium control. In this way the control system can be tested offline and the time needed for the commissioning of algorithms reduced

  18. Impact of Business Intelligence and IT Infrastructure Flexibility on Competitive Advantage: An Organizational Agility Perspective

    Science.gov (United States)

    Chen, Xiaofeng

    2012-01-01

    There is growing use of business intelligence (BI) for better management decisions in industry. However, empirical studies on BI are still scarce in academic research. This research investigates BI from an organizational agility perspective. Organizational agility is the ability to sense and respond to market opportunities and threats with speed,…

  19. Emotional Intelligence and Job Satisfaction: The EQ Relationship for Deans of U.S. Business Schools

    Science.gov (United States)

    Coco, Charles M.

    2009-01-01

    The main purpose of this study was to determine if a positive relationship existed between Emotional Intelligence and Job Satisfaction for deans of business schools. A secondary purpose was to determine which Emotional Quotient (EQ) competencies were most important for satisfied deans and how these competencies assisted processes related to…

  20. Implementación de una solución de Business Intelligence en una unidad de negocios de cobranzas de una entidad financiera

    OpenAIRE

    Calderón Ccatamayo, Magaly; Calderón Ccatamayo, Magaly

    2014-01-01

    El presente informe describe la implementación de una solución de Business Intelligence en una unidad de negocios de Cobranzas de una entidad financiera, utilizando un conjunto de metodologías y herramientas automatizadas de Business Intelligence. Los objetivos del proyecto presentado en este informe son facilitar a los usuarios de Cobranzas el análisis de la información, la toma de decisiones y las definiciones de estrategias acertadas, mejorando de esta forma la gestión y seguimiento del...

  1. Developing cultural intelligence: assessing the effect of the Ecotonos cultural simulation game for international business students

    NARCIS (Netherlands)

    Bücker, J.J.L.E.; Korzilius, H.P.L.M.

    2015-01-01

    In this study, we test the strength of a cross-cultural simulation game, Ecotonos, in the development of cultural intelligence (CQ) and self-efficacy amongst business students. Cross-cultural training is perceived as an important tool to help develop cross-cultural competence in international

  2. ANALISIS PERANCANGAN BUSINESS INTELLIGENCE BERBASIS SAAS CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    I Gede Adnyana

    2014-05-01

    Full Text Available Persaingan bisnis yang ketat, mendorong setiap perusahaan menyusun strategi bisnis agar dapat bertahan dari para pesaing. Penyusunan strategi bisnis mutlak memerlukan informasi yang tepat dan akurat, pengolahan hingga analisis data yang menghasilkan informasi yang tepat dan akurat menjadi proses yang sangat penting. Business Intelligence (BI menawarkan solusi bisnis untuk menganalisis data dan memungkinkan suatu perusahaan untuk mengambil keputusan untuk meningkatkan keuntungan dan kinerja bisnis. Namun, BI mahal untuk diimplementasikan, memerlukan biaya pemeliharaan yang tidak sedikit dan infrastruktur yang kuat. Hal ini mendorong perusahaan mengurangi biaya tetapi masih memiliki teknologi yang tepat untuk memungkinkan mereka untuk membuat keputusan, mengidentifikasi peluang dan proaktif mengidentifikasi risiko yang dapat mempengaruhi bisnis. Konsep Software as a Service (SaaS Cloud Computing dapat menjawab tantangan yang dihadapi BI. Sebelum merancang BI berbasis SaaS perlu diketahui parameter-parameter evaluasi hingga kelebihan dan kekurangannya.

  3. Location Intelligence Solutions

    International Nuclear Information System (INIS)

    Schmidt, D.

    2015-01-01

    Location Intelligence (LI) means using the spatial dimension of information as a key to support business processes. This spatial dimension has to be defined by geographic coordinates. Storing these spatial objects in a database allows for attaching a 'meaning' to them, like 'current position', 'border', 'building' or 'room'. Now the coordinates represent real-world objects, which can be relevant for the measurement, documentation, control or optimization of (parameters of) business processes aiming at different business objectives. But LI can only be applied, if the locations can be determined with an accuracy (in space and time) appropriate for the business process in consideration. Therefore the first step in any development of a LI solution is the analysis of the business process itself regarding its requirements for spatial and time resolution and accuracy. The next step is the detailed analysis of the surrounding conditions of the process: Does the process happen indoor and/or outdoor? Are there moving objects? If yes, how fast are they? How does the relevant environment look like? Is technical infrastructure available? Is the process restricted by regulations? As a result, a proper Location Detection Technology (LDT) has to be chosen in order to get reliable and accurate positions of the relevant objects. At the highly challenging conditions of the business processes IAEA inspectors are working with, the chosen LDTs have to deliver reliable positioning on ''room-level'' accuracy, even if there is no location enabling infrastructure in place, the objects (people) mostly are indoors and have to work under strong regulations. The presentation will give insights into innovative LI solutions based on technologies of different LDT providers. Pros and cons of combinations of different LDT (like multi- GNSS, IMU, camera, and human interaction based positioning) will be discussed from the

  4. Real-time Medical Emergency Response System: Exploiting IoT and Big Data for Public Health.

    Science.gov (United States)

    Rathore, M Mazhar; Ahmad, Awais; Paul, Anand; Wan, Jiafu; Zhang, Daqiang

    2016-12-01

    Healthy people are important for any nation's development. Use of the Internet of Things (IoT)-based body area networks (BANs) is increasing for continuous monitoring and medical healthcare in order to perform real-time actions in case of emergencies. However, in the case of monitoring the health of all citizens or people in a country, the millions of sensors attached to human bodies generate massive volume of heterogeneous data, called "Big Data." Processing Big Data and performing real-time actions in critical situations is a challenging task. Therefore, in order to address such issues, we propose a Real-time Medical Emergency Response System that involves IoT-based medical sensors deployed on the human body. Moreover, the proposed system consists of the data analysis building, called "Intelligent Building," depicted by the proposed layered architecture and implementation model, and it is responsible for analysis and decision-making. The data collected from millions of body-attached sensors is forwarded to Intelligent Building for processing and for performing necessary actions using various units such as collection, Hadoop Processing (HPU), and analysis and decision. The feasibility and efficiency of the proposed system are evaluated by implementing the system on Hadoop using an UBUNTU 14.04 LTS coreTMi5 machine. Various medical sensory datasets and real-time network traffic are considered for evaluating the efficiency of the system. The results show that the proposed system has the capability of efficiently processing WBAN sensory data from millions of users in order to perform real-time responses in case of emergencies.

  5. Real Exchange Rate Fluctuations and the Business Cycle: Evidence from Japan

    OpenAIRE

    Bankim Chadha; Eswar Prasad

    1997-01-01

    This paper analyzes the relationship between the real exchange rate and the business cycle in Japan during the floating rate period. A structural vector autoregression is used to identify different types of macroeconomic shocks that determine fluctuations in aggregate output and the real exchange rate. Relative nominal and real demand shocks are found to be the main determinants of variation in real exchange rate changes, whereas relative output growth is driven primarily by supply shocks. Hi...

  6. Automated business process management – in times of digital transformation using machine learning or artificial intelligence

    OpenAIRE

    Paschek Daniel; Luminosu Caius Tudor; Draghici Anca

    2017-01-01

    The continuous optimization of business processes is still a challenge for companies. In times of digital transformation, faster changing internal and external framework conditions and new customer expectations for fastest delivery and best quality of goods and many more, companies should set up their internal process at the best way. But what to do if framework conditions changed unexpectedly? The purpose of the paper is to analyse how the digital transformation will impact the Business Proc...

  7. Integrated human-machine intelligence in space systems

    Science.gov (United States)

    Boy, Guy A.

    1992-01-01

    The integration of human and machine intelligence in space systems is outlined with respect to the contributions of artificial intelligence. The current state-of-the-art in intelligent assistant systems (IASs) is reviewed, and the requirements of some real-world applications of the technologies are discussed. A concept of integrated human-machine intelligence is examined in the contexts of: (1) interactive systems that tolerate human errors; (2) systems for the relief of workloads; and (3) interactive systems for solving problems in abnormal situations. Key issues in the development of IASs include the compatibility of the systems with astronauts in terms of inputs/outputs, processing, real-time AI, and knowledge-based system validation. Real-world applications are suggested such as the diagnosis, planning, and control of enginnered systems.

  8. 4g-Based Specialty Vehicles Real-Time Monitoring System Design and Implementation

    Directory of Open Access Journals (Sweden)

    Zhuang Yu-Feng

    2017-01-01

    Full Text Available In the future development of natural gas transportation industry, emerging ITS technology will be applied more and more, aiming at integrating precise positioning technology, geographic information system technology, database technology, multimedia technology and modern communication technology, sensor network technology and video capture technology, so as to achieve the transport steam (oil vehicles in real time monitoring and management. The main research content of this paper is to design and research the monitoring and locating system of luck (oil vehicle based on 4G on Android System. Real-time monitoring and alarming by sensor module, real-time video recording and uploading through camera module, real-time position recording and uploading through GPS module, vehicle navigation module and quick alarm module, which is composed of five parts. The system is the application of new intelligent transport technology in the field of special vehicle transport. It apply electronic information technology and internet of things technology to the vehicle system, so we can monitor natural gas and other special dangerous goods anytime, anywhere.

  9. Business Intelligence Infrastructure for Academic Libraries

    Directory of Open Access Journals (Sweden)

    Joe Zucca

    2013-06-01

    Full Text Available Objective – To describe the rationale for and development of MetriDoc, an information technology infrastructure that facilitates the collection, transport, and use of library activity data.Methods – With the help of the Institute for Museum and Library Services, the University of Pennsylvania Libraries have been working on creating a decision support system for library activity data. MetriDoc is a means of “lighting up” an array of data sources to build a comprehensive repository of quantitative information about services and user behavior. A data source can be a database, text file, Extensible Markup Language (XML, or any binary object that contains data and has business value. MetriDoc provides simple tools to extract useful information from various data sources; transform, resolve, and consolidate that data; and finally store them in a repository.Results – The Penn Libraries completed five reference projects to prove basic concepts of the MetriDoc framework and make available a set of applications that other institutions could test in a deployment of the MetriDoc core. These reference projects are written as configurable plugins to the core framework and can be used to parse and store EZ-Proxy log data, COUNTER data, interlibrary loan transactional data from ILLIAD, fund expenditure data from the Voyager integrated library system, and transactional data from the Relais platform, which supports the BorrowDirect and EZBorrow resource sharing consortiums. The MetriDoc framework is currently undergoing test implementations at the University of Chicago and North Carolina State University, and the Kuali-OLE project is actively considering it as the basis of an analytics module.Conclusion – If libraries decide that a business intelligence infrastructure is strategically important, deep collaboration will be essential to progress, given the costs and complexity of the challenge.

  10. Social Media and U.S. Intelligence Agencies: Just Trending or a Real Tool to Engage and Educate?

    Directory of Open Access Journals (Sweden)

    Michael Landon-Murray

    2015-10-01

    Full Text Available Social media use has become ubiquitous not just among individuals, groups, and businesses, but also government institutions. In turn, the adoption of services like Facebook and Twitter in the public sector has increasingly become the focus of academic study. U.S. intelligence agencies, however, have been excluded from examination. The potential benefits—engagement, education, and transparency, among others—are significant, and studying how U.S. intelligence uses social media will help us realize those benefits. In the arcane, complex and potentially intrusive world of intelligence, new opportunities to bolster public knowledge and accountability must be utilized. Today, understanding government requires studying e-government, and in intelligence, social media likely represents the most direction connection between citizens and the public agencies that serve them. To take a first step, this study maps how U.S. intelligence agencies are using Facebook and Twitter, examines other social media practices, and presents findings from correspondence with four intelligence and security journalists.

  11. PixonVision real-time video processor

    Science.gov (United States)

    Puetter, R. C.; Hier, R. G.

    2007-09-01

    PixonImaging LLC and DigiVision, Inc. have developed a real-time video processor, the PixonVision PV-200, based on the patented Pixon method for image deblurring and denoising, and DigiVision's spatially adaptive contrast enhancement processor, the DV1000. The PV-200 can process NTSC and PAL video in real time with a latency of 1 field (1/60 th of a second), remove the effects of aerosol scattering from haze, mist, smoke, and dust, improve spatial resolution by up to 2x, decrease noise by up to 6x, and increase local contrast by up to 8x. A newer version of the processor, the PV-300, is now in prototype form and can handle high definition video. Both the PV-200 and PV-300 are FPGA-based processors, which could be spun into ASICs if desired. Obvious applications of these processors include applications in the DOD (tanks, aircraft, and ships), homeland security, intelligence, surveillance, and law enforcement. If developed into an ASIC, these processors will be suitable for a variety of portable applications, including gun sights, night vision goggles, binoculars, and guided munitions. This paper presents a variety of examples of PV-200 processing, including examples appropriate to border security, battlefield applications, port security, and surveillance from unmanned aerial vehicles.

  12. Teaching Real-World Applications of Business Statistics Using Communication to Scaffold Learning

    Science.gov (United States)

    Green, Gareth P.; Jones, Stacey; Bean, John C.

    2015-01-01

    Our assessment research suggests that quantitative business courses that rely primarily on algorithmic problem solving may not produce the deep learning required for addressing real-world business problems. This article illustrates a strategy, supported by recent learning theory, for promoting deep learning by moving students gradually from…

  13. ARGUMENTS ON USING COMPUTER-ASSISTED AUDIT TECHNIQUES (CAAT AND BUSINESS INTELLIGENCE TO IMPROVE THE WORK OF THE FINANCIAL AUDITOR

    Directory of Open Access Journals (Sweden)

    Ciprian-Costel, MUNTEANU

    2014-11-01

    Full Text Available In the 21st century, one of the most efficient ways to achieve an independent audit and quality opinion is by using information from the organization database, mainly documents in electronic format. With the help of Computer-Assisted Audit Techniques (CAAT, the financial auditor analyzes part or even all the data about a company in reference to other information within or outside the entity. The main purpose of this paper is to show the benefits of evolving from traditional audit techniques and tools to modern and , why not, visionary CAAT, which are supported by business intelligence systems. Given the opportunity to perform their work in IT environments, the auditors would start using the tools of business intelligence, a key factor which contributes to making successful business decisions . CAAT enable auditors to test large amount of data quickly and accurately and therefore increase the confidence they have in their opinion.

  14. Real Time Revisited

    Science.gov (United States)

    Allen, Phillip G.

    1985-12-01

    The call for abolishing photo reconnaissance in favor of real time is once more being heard. Ten years ago the same cries were being heard with the introduction of the Charge Coupled Device (CCD). The real time system problems that existed then and stopped real time proliferation have not been solved. The lack of an organized program by either DoD or industry has hampered any efforts to solve the problems, and as such, very little has happened in real time in the last ten years. Real time is not a replacement for photo, just as photo is not a replacement for infra-red or radar. Operational real time sensors can be designed only after their role has been defined and improvements made to the weak links in the system. Plodding ahead on a real time reconnaissance suite without benefit of evaluation of utility will allow this same paper to be used ten years from now.

  15. Information Management: Business Vulnerabilities

    International Nuclear Information System (INIS)

    Gmach, R.; Stefko, H.

    2015-01-01

    Sophisticated cybercrimes and advanced persistent threats are occurring at an alarming rate. Aided by new attack techniques, increased financial support and the ease of exploiting social connections, attackers are having more success than ever before. Traditional security solutions are no longer sufficient to defend against these escalating threats. IBM® Security QRadar® uses big data capabilities to help keep pace with advanced threats and prevent attacks before they happen. It helps uncover hidden relationships within massive amounts of security data, using proven analytics to reduce billions of security events to a manageable set of prioritized incidents. Forward-leaning organizations are exploring custom analytics that use additional big data technologies on a variety of unstructured data sources including email, social media feeds, business transactions and full network packet payloads. To meet this demand, IBM is integrating industry-leading security intelligence capabilities with the world-class analytics capabilities of IBM InfoSphere® BigInsights TM and related big data software and services. The combination offers a comprehensive solution — a security intelligence platform designed to detect and prioritize threats in real time, together with a mature Hadoop-based solution for custom data mining and analytics. (author)

  16. Business intelligence and decision making tools - New trends on romanian market

    Directory of Open Access Journals (Sweden)

    Ph.D. Silviu Cojocaru

    2012-05-01

    Full Text Available Despite the limits imposed by the computer’s impossibility to perfectly duplicate the human reasoning, the information systems that assist decision making and the business intelligence components are considered nowadays compulsory instruments of the modern manager; most of the daily decision procedures, the information required by the decision making process together with the information search and retrieval techniques are taken over completely by these systems. Furthermore, their continuous development, doubled the improvement of computers’ performances, offer increased possibilities to take over major parts of some of the most intense reasoning activities performed by humans

  17. Designing an Adaptive Nuero-Fuzzy Inference System for Evaluating the Business Intelligence System Implementation in Software Industry

    Directory of Open Access Journals (Sweden)

    Iman Raeesi Vanani

    2015-03-01

    Full Text Available The main goal of research is designing an adaptive nuero-fuzzy inference system for evaluating the implementation of business intelligence systems in software industry. Iranian software development organizations have been facing a lot of problems in case of implementing business intelligence systems. This system would be helpful in recognizing the conditions and prerequisites of success or failure. Organizations can recalculate the neuro-fuzzy system outputs with some considerations on various inputs to figure out which inputs have the most effect on the implementation outputs. By resolving the problems on inputs, organizations can achieve a better level of implementation success. The designed system has been trained by a data set and afterwards, it has been evaluated. The trained system has reached the error value of 0.08. Eventually, some recommendations have been provided for software development firms on the areas that might need more considerations and improvements.

  18. Achieving Real-Time Tracking Mobile Wireless Sensors Using SE-KFA

    Science.gov (United States)

    Kadhim Hoomod, Haider, Dr.; Al-Chalabi, Sadeem Marouf M.

    2018-05-01

    Nowadays, Real-Time Achievement is very important in different fields, like: Auto transport control, some medical applications, celestial body tracking, controlling agent movements, detections and monitoring, etc. This can be tested by different kinds of detection devices, which named "sensors" as such as: infrared sensors, ultrasonic sensor, radars in general, laser light sensor, and so like. Ultrasonic Sensor is the most fundamental one and it has great impact and challenges comparing with others especially when navigating (as an agent). In this paper, concerning to the ultrasonic sensor, sensor(s) detecting and delimitation by themselves then navigate inside a limited area to estimating Real-Time using Speed Equation with Kalman Filter Algorithm as an intelligent estimation algorithm. Then trying to calculate the error comparing to the factual rate of tracking. This paper used Ultrasonic Sensor HC-SR04 with Arduino-UNO as Microcontroller.

  19. The Real-Time Monitoring Service Platform for Land Supervision Based on Cloud Integration

    Science.gov (United States)

    Sun, J.; Mao, M.; Xiang, H.; Wang, G.; Liang, Y.

    2018-04-01

    Remote sensing monitoring has become the important means for land and resources departments to strengthen supervision. Aiming at the problems of low monitoring frequency and poor data currency in current remote sensing monitoring, this paper researched and developed the cloud-integrated real-time monitoring service platform for land supervision which enhanced the monitoring frequency by acquiring the domestic satellite image data overall and accelerated the remote sensing image data processing efficiency by exploiting the intelligent dynamic processing technology of multi-source images. Through the pilot application in Jinan Bureau of State Land Supervision, it has been proved that the real-time monitoring technical method for land supervision is feasible. In addition, the functions of real-time monitoring and early warning are carried out on illegal land use, permanent basic farmland protection and boundary breakthrough in urban development. The application has achieved remarkable results.

  20. Air-Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory Monitoring.

    Science.gov (United States)

    Wang, Meng; Zhang, Jiahao; Tang, Yingjie; Li, Jun; Zhang, Baosen; Liang, Erjun; Mao, Yanchao; Wang, Xudong

    2018-06-04

    Respiration is one of the most important vital signs of humans, and respiratory monitoring plays an important role in physical health management. A low-cost and convenient real-time respiratory monitoring system is extremely desirable. In this work, we demonstrated an air-flow-driven triboelectric nanogenerator (TENG) for self-powered real-time respiratory monitoring by converting mechanical energy of human respiration into electric output signals. The operation of the TENG was based on the air-flow-driven vibration of a flexible nanostructured polytetrafluoroethylene (n-PTFE) thin film in an acrylic tube. This TENG can generate distinct real-time electric signals when exposed to the air flow from different breath behaviors. It was also found that the accumulative charge transferred in breath sensing corresponds well to the total volume of air exchanged during the respiration process. Based on this TENG device, an intelligent wireless respiratory monitoring and alert system was further developed, which used the TENG signal to directly trigger a wireless alarm or dial a cell phone to provide timely alerts in response to breath behavior changes. This research offers a promising solution for developing self-powered real-time respiratory monitoring devices.

  1. Definición y desarrollo de herramienta web de gestión de metadatos Business Intelligence

    OpenAIRE

    Montalvillo Mendizabal, Leticia

    2012-01-01

    Hoy en día las grandes empresas cuentan con sistemas de Business Intelligence (BI) para diversos objetivos y tareas que deben realizar. Este proyecto se centra en la definición de un repositorio de metadatos BI que almacenará los datos relativos a los Indicadores Clave de Rendimiento (KPI).

  2. Digital intelligence sources transporter

    International Nuclear Information System (INIS)

    Zhang Zhen; Wang Renbo

    2011-01-01

    It presents from the collection of particle-ray counting, infrared data communication, real-time monitoring and alarming, GPRS and other issues start to realize the digital management of radioactive sources, complete the real-time monitoring of all aspects, include the storing of radioactive sources, transporting and using, framing intelligent radioactive sources transporter, as a result, achieving reliable security supervision of radioactive sources. (authors)

  3. Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems

    Directory of Open Access Journals (Sweden)

    Chin-Tsung Hsieh

    2014-01-01

    Full Text Available The traditional solar photovoltaic fault diagnosis system needs two to three sets of sensing elements to capture fault signals as fault features and many fault diagnosis methods cannot be applied with real time. The fault diagnosis method proposed in this study needs only one set of sensing elements to intercept the fault features of the system, which can be real-time-diagnosed by creating the fault data of only one set of sensors. The aforesaid two points reduce the cost and fault diagnosis time. It can improve the construction of the huge database. This study used Matlab to simulate the faults in the solar photovoltaic system. The maximum power point tracker (MPPT is used to keep a stable power supply to the system when the system has faults. The characteristic signal of system fault voltage is captured and recorded, and the dynamic error of the fault voltage signal is extracted by chaos synchronization. Then, the extension engineering is used to implement the fault diagnosis. Finally, the overall fault diagnosis system only needs to capture the voltage signal of the solar photovoltaic system, and the fault type can be diagnosed instantly.

  4. Real Time Indoor Robot Localization Using a Stationary Fisheye Camera

    OpenAIRE

    Delibasis , Konstantinos ,; Plagianakos , Vasilios ,; Maglogiannis , Ilias

    2013-01-01

    Part 7: Intelligent Signal and Image Processing; International audience; A core problem in robotics is the localization of a mobile robot (determination of the location or pose) in its environment, since the robot’s behavior depends on its position. In this work, we propose the use of a stationary fisheye camera for real time robot localization in indoor environments. We employ an image formation model for the fisheye camera, which is used for accelerating the segmentation of the robot’s top ...

  5. Combining real-time monitoring and knowledge-based analysis in MARVEL

    Science.gov (United States)

    Schwuttke, Ursula M.; Quan, A. G.; Angelino, R.; Veregge, J. R.

    1993-01-01

    Real-time artificial intelligence is gaining increasing attention for applications in which conventional software methods are unable to meet technology needs. One such application area is the monitoring and analysis of complex systems. MARVEL, a distributed monitoring and analysis tool with multiple expert systems, was developed and successfully applied to the automation of interplanetary spacecraft operations at NASA's Jet Propulsion Laboratory. MARVEL implementation and verification approaches, the MARVEL architecture, and the specific benefits that were realized by using MARVEL in operations are described.

  6. Leveraging business intelligence to make better decisions: Part II.

    Science.gov (United States)

    Reimers, Mona

    2014-01-01

    This article is the second in a series about business intelligence (BI) in a medical practice. The first article reviewed the evolution of data reporting within the industry and provided some examples of how BI concepts differ from the reports available in the menus of our software systems, or the dashboards and scorecards practices have implemented. This article will discuss how to begin a BI initiative for front-end medical practice staffers that will create tools they can use to reduce errors and increase efficiency throughout their workday. This type of BI rollout can allow practices to get started with very little financial investment, gain enthusiasm from end users, and achieve a quick return on investment. More examples of successful BI projects in medical practices are discussed to help illustrate BI concepts.

  7. Cloud Computing and Business Intelligence

    Directory of Open Access Journals (Sweden)

    Alexandru Adrian TOLE

    2015-03-01

    Full Text Available The complexity of data resulting from business process is becoming overwhelming for the systems that don't use shared resources. Many aspects of the business process must be recorded and analysed in a short period of time with no errors at all. In order to obtain these results, so that management and other departments know what their next decision/job will be, there must be a continuous exchange and processing of information. "Cloud Computing" is the solution to overcome the problem of processing large amounts of data. By using this technology organizations have the benefit of using shared resources from various systems that are able to face large amount of data processing. This benefits does not only resume to a high performance system but also the costs of using such architecture are much lower.

  8. Research on architecture of intelligent transportation cloud platform for Guangxi expressway

    Science.gov (United States)

    Hua, Pan; Huang, Zhongxiang; He, Zengzhen

    2017-04-01

    In view of the practical needs of the intelligent transportation business collaboration, a model on intelligent traffic business collaboration is established. Aarchitecture of intelligent traffic cloud platformfor high speed road is proposed which realizes the loose coupling of each intelligent traffic business module. Based on custom technology in database design, it realizes the dynamic customization of business function which means that different roles can dynamically added business functions according to the needs. Through its application in the development and implementation of the actual business system, the architecture is proved to be effective and feasible.

  9. A multilevel investigation of motivational cultural intelligence, organizational diversity climate, and cultural sales: evidence from U.S. real estate firms.

    Science.gov (United States)

    Chen, Xiao-Ping; Liu, Dong; Portnoy, Rebecca

    2012-01-01

    Adopting a multilevel theoretical framework, the authors examined how motivational cultural intelligence influences individual cultural sales--the number of housing transactions occurring between people of different cultural origins. Data from 305 real estate agents employed at 26 real estate firms in the United States demonstrated that an individual's motivational cultural intelligence is positively related to his or her cultural sales. This positive relationship is enhanced by the firm's motivational cultural intelligence and diversity climate. The authors discuss the theoretical and practical implications of their findings in a workplace context that involves cross-cultural interpersonal interactions.

  10. A Comprehensive Real-Time Traffic Map for Geographic Routing in VANETs

    Directory of Open Access Journals (Sweden)

    Chi-Fu Huang

    2017-01-01

    Full Text Available Vehicular Ad Hoc Networks (VANETs have attracted a lot of attention during the last decade. VANETs can not only improve driving safety, but also convenience, and support most future Intelligent Transportation System (ITS. Due to the highly dynamic network topology of VANETs, many geographic routing protocols have been proposed and use real-time traffic information as an important metric to select a reliable forwarding path. However, most of the existing works do not describe how to gather real-time traffic. They either assume this information is already available, or can query an existing traffic center. Few studies have noticed this issue but the proposed solutions only consider a small region. In this paper, we propose a Comprehensive Real-Time Traffic Map (CRT Map to collect wide-ranging real-time traffic information with low overhead. In the design of a CRT Map, the concept of Crowdsensing is adopted. Vehicles cooperatively gather traffic information and share it with each other to construct an overview of the whole road network traffic. In addition, we design a CRT Map Based Routing (CBR, which takes into account the connectivity of consecutive roads in routing decisions. Simulation results show that the CBR can achieve a lower end-to-end delay and a higher packet delivery ratio.

  11. Business Intelligence and competition ability of enterprise

    Directory of Open Access Journals (Sweden)

    Vladimír Konečný

    2005-01-01

    Full Text Available As far as the current state of the information and communication technologies usage is concerned, the information systems of the companies cover the major part of the transaction processes and the large amount of the processes at the level of the tactical decision-making.Intensive implementation of the information technologies in many areas of the human activities cause gathering of the large amount of the data. The volume of the internal and external databases grows rapidly and the problem is to take advantage of the data they contain. But the problem is not only the growing volume of the databases but also the different and database structures. To get the new information from the large and incompatible database sources is possible but very inefficient. A manager often needs the information very fast to achieve competitive advantage and to solve problems at the level of strategic decision-making. Another problem is the fact that the databases often contain information that is hidden there and there is no way known how to get this information out of the database. In this case, the user needs at least suitable tools in order to perform experiments and to explore and identify patterns and relationships in the data.The transformation process of the data to information and to knowledge that is used in the process of decision-making is called Business Intelligence. Modern database tools offer wide support for building the data warehouse, OLAP analysis and data mining.Our contribution focuses on the application of one of the data mining techniques such as neural networks and artificial intelligence. The application of those methods will be based on the assessment of the food quality and composing of the corresponding trend indicator.

  12. Educational Programs for Intelligence Professionals.

    Science.gov (United States)

    Miller, Jerry P.

    1994-01-01

    Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

  13. BUSINESS ECOSYSTEMS VS BUSINESS DIGITAL ECOSYSTEMS

    Directory of Open Access Journals (Sweden)

    Marinela Lazarica

    2006-05-01

    Full Text Available E-business is often described as the small organisations’ gateway to global business and markets. The adoption of Internet-based technologies for e-business is a continuous process, with sequential steps of evolution. The latter step in the adoption of Internet-based technologies for business, where the business services and the software components are supported by a pervasive software environment, which shows an evolutionary and self-organising behaviour are named digital business ecosystems. The digital business ecosystems are characterized by intelligent software components and services, knowledge transfer, interactive training frameworks and integration of business processes and e-government models.

  14. ECONOMIC RECESSION A CALL FOR COMPETITIVE INTELLIGENCE

    OpenAIRE

    Lucian Marius IVANOV

    2011-01-01

    Global recession brought about a significant growth in competition, stressing the need for relevant and reliable intelligence as a support for making efficient strategic decisions. The recent circumstances draw the attention far more earnestly this time on the need for an intelligence structure within companies to be ready for sustaining business management endeavours in line with increasing competitiveness, protection and promotion of their interests.

  15. A business intelligence approach using web search tools and online data reduction techniques to examine the value of product-enabled services

    DEFF Research Database (Denmark)

    Tanev, Stoyan; Liotta, Giacomo; Kleismantas, Andrius

    2015-01-01

    in Canada and Europe. It adopts an innovative methodology based on online textual data that could be implemented in advanced business intelligence tools aiming at the facilitation of innovation, marketing and business decision making. Combinations of keywords referring to different aspects of service value......-service innovation as a competitive advantage on the marketplace. On the other hand, the focus of EU firms on innovative hybrid offerings is not explicitly related to business differentiation and competitiveness....

  16. Co-simulation for real time safety verification of nuclear power plants

    International Nuclear Information System (INIS)

    Boafo, E.K.; Zhang, L.; Nasimi, E.; Gabbar, H.A.

    2015-01-01

    Small and major accidents and near misses are still occurring in nuclear power plants (NPPs). Risk level has increased with the degradation of NPP equipment and instrumentations. In order to achieve NPP safety, it is important to continuously evaluate risk for all potential hazard and fault propagation scenarios and map protection layers to fault / failure / hazard propagation scenarios to be able to evaluate and verify safety level during NPP operation. There are major limitations in current real time safety verification tools, as it is mainly offline and with no integration to NPP simulation tools. The main goal of this research is to develop real time safety verification with co-simulation tool to be integrated with plant operation support systems. This includes the development of static and dynamic fault semantic network (FSN) to model all possible fault propagation scenarios and the interrelationships among associated process variables. Safety and protection layers along with their reliability are mapped to FSN so that safety levels can be verified during plant operation. Errors between multiphysics models and real time data are modeled to accurately and dynamically tune FSN for each fault propagation scenario. The detailed methodology will show how to integrate process models, construction of static FSN with fault propagation scenarios, and evaluation and tuning of dynamic FSN with probabilistic and process variable interaction values. Principle Component Analysis method is used reduce dimensionality and reduce process variables associated with each fault scenario. Then map independent protection layers (IPL) to FSN with estimated reliability measures of each protection layer to accurately verify safety for different operational scenarios. Intelligent algorithms is used with multivariate techniques to accurate define the interrelation among process variables, in terms of signal strength and time delay, using Genetic Programming (GP), which will provide basis

  17. Review of real-time on-line decision support system RODOS

    International Nuclear Information System (INIS)

    Rossi, J.

    1997-01-01

    RODOS (Real Time Off-site Decision Support System) is a research project, which aims at the development of a versatile decision support system for management of reactor accident off-site consequence assessments in real-time in Europe and in the western parts of the former Soviet Union. The system employs both local and regional environmental radiation monitoring results and meteorological forecasts by means of which the software prepares consistent predictions ranging from the release area to long distances covering all temporal phases of the accident. The data to be obtained from the environment will be processed and based on the mathematical and physical models and it will be prepared to intelligibly form about the prevalent or future environmental radiation situation. The software is intended for operative use of radiation safety authorities. Furthermore, the software is suitable for education and training of rescue field personnel. (refs.)

  18. Real time computer control of a nonlinear Multivariable System via Linearization and Stability Analysis

    International Nuclear Information System (INIS)

    Raza, K.S.M.

    2004-01-01

    This paper demonstrates that if a complicated nonlinear, non-square, state-coupled multi variable system is smartly linearized and subjected to a thorough stability analysis then we can achieve our design objectives via a controller which will be quite simple (in term of resource usage and execution time) and very efficient (in terms of robustness). Further the aim is to implement this controller via computer in a real time environment. Therefore first a nonlinear mathematical model of the system is achieved. An intelligent work is done to decouple the multivariable system. Linearization and stability analysis techniques are employed for the development of a linearized and mathematically sound control law. Nonlinearities like the saturation in actuators are also been catered. The controller is then discretized using Runge-Kutta integration. Finally the discretized control law is programmed in a computer in a real time environment. The programme is done in RT -Linux using GNU C for the real time realization of the control scheme. The real time processes, like sampling and controlled actuation, and the non real time processes, like graphical user interface and display, are programmed as different tasks. The issue of inter process communication, between real time and non real time task is addressed quite carefully. The results of this research pursuit are presented graphically. (author)

  19. Real-Time Vehicle Energy Management System Based on Optimized Distribution of Electrical Load Power

    Directory of Open Access Journals (Sweden)

    Yuefei Wang

    2016-10-01

    Full Text Available As a result of severe environmental pressure and stringent government regulations, refined energy management for vehicles has become inevitable. To improve vehicle fuel economy, this paper presents a bus-based energy management system for the electrical system of internal combustion engine vehicles. Both the model of an intelligent alternator and the model of a lead-acid battery are discussed. According to these models, the energy management for a vehicular electrical system is formulated as a global optimal control problem which aims to minimize fuel consumption. Pontryagin’s minimum principle is applied to solve the optimal control problem to realize a real-time control strategy for electrical energy management in vehicles. The control strategy can change the output of the intelligent alternator and the battery with the changes of electrical load and driving conditions in real-time. Experimental results demonstrate that, compared to the traditional open-loop control strategy, the proposed control strategy for vehicle energy management can effectively reduce fuel consumption and the fuel consumption per 100 km is decreased by approximately 1.7%.

  20. A Business intelligence tool for studying value co-creation and innovation

    DEFF Research Database (Denmark)

    Tanev, Stoyan; Ruskov, Petko; Georgiev, Lachezar

    2011-01-01

    Value co-creation is an emerging marketing and innovation paradigm describing a broader opening of the firm to its customers by providing them with the opportunity to become active participants in the design and development of personalized products, services and experiences. However......, there is not yet a fully satisfactory theoretical vision about its distinctive characteristics as compared to more traditional value creation approaches. One of the challenges in studying value co-creation is the lack of business intelligence (BI) tools that can be used in the conceptualization of value co...... is the relationship between the degree of firms’ involvement in value co-creation activities and their innovativeness....

  1. An Analysis of Independent, Non-Academic Characteristics of Chinese and American Business Students Associated with Emotional Intelligence

    Science.gov (United States)

    Margavio, Thomas M.; Margavio, Geanie W.; Hignite, Michael A.; Moses, Duane R.

    2014-01-01

    In a continuation of their prior research which focused on the differences in Emotional Intelligence (EI) levels between Chinese and American business students and the academic variables associated with those scores, the authors extend their efforts to investigate those personal (non-academic) characteristics of both American and Chinese business…

  2. Leveraging business intelligence to make better decisions: Part III.

    Science.gov (United States)

    Reimers, Mona

    2014-01-01

    Accounts receivable and scheduling datasets have been available to medical practices since the 1990s, and discrete medical records data have become available over the past few years. But the frustrations that arose from the difficulties in reporting data grew with each keyboard stroke and mouse click. With reporting mandated to meet changing payment models, measuring quality of care and medical outcomes, practice managers must find more efficient and effective methods of extracting and compiling the data they have in their systems. Taming the reporting beast and learning to effectively apply business intelligence (BI) tools will become an expected managerial proficiency in the next few years. Practice managers' roles are changing quickly, and they will be required to understand the meaning of their practice's data and craft ways to leverage that data toward a strategic advantage.

  3. Business intelligence for human resources. Toward a new paradigm for report development and delivery

    Energy Technology Data Exchange (ETDEWEB)

    Redmond-Neal, Amanda Lee [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2014-11-01

    As a corporate workforce grows, managers need more information close at hand to make decisions for the company. As every scientist knows, we can’t judge, let alone improve, something that can’t be measured. Thus, firms that are committed to constant improvement generate reports on various business metrics in order to make informed decisions. Sandia National Labs is no exception. Enterprise business intelligence (BI) is very important to keep such a large organization on the right track, as it signals any adjustments that may be required to stay the course. Like teams in other fields, Sandia’s HR Reporting wants to provide the most valuable Workforce BI possible, and it is considering a change in reporting paradigm to achieve that.

  4. Business inteligence a jeho využití v MSP

    Directory of Open Access Journals (Sweden)

    Marta Nosková

    2018-06-01

    Full Text Available The article discusses the attitude of selected small and medium-sized enterprises towards Business Intelligence Systems. Business Intelligence System can draw data from a variety of internal and external sources (mostly from enterprise information systems and automatically obtain and analyse data about specific facts and provide information to help with decision making of management on specific issues. The goal of the article is to provide an overview of the opinions and acquaintance of Business Intelligence Systems among selected group of Small and Medium-Sized Enterprises in the Czech Republic (mainly from primary and secondary sector, to find out the barriers to its implementation and vice versa the level of Business Intelligence utilization by those who have already implemented it. The article briefly introduces Business Intelligence concept and its potential to improve performance and management of an enterprise. Then a questionnaire survey is presented as well as its methodology and also the results. The results revealed that the Business Intelligence Systems are not too widespread or familiar among the selected group of Small and Medium-Sized Enterprises. The research also shows a rather negative attitude towards its implementation. Businesses are used to their way of processing information and do not see significant benefits in Business Intelligence implementation. In addition, they do not have enough money to carry out this implementation. On the other hand, those businesses that have already implemented Business Intelligence are satisfied. It is clear, therefore, that most Small and Medium-Sized enterprises will not be interested in implementing Business Intelligence themselves and will not benefit from it, which for those who does means a potential competitive advantage.

  5. Study on large scale knowledge base with real time operation for autonomous nuclear power plant. 1. Basic concept and expecting performance

    International Nuclear Information System (INIS)

    Ozaki, Yoshihiko; Suda, Kazunori; Yoshikawa, Shinji; Ozawa, Kenji

    1996-04-01

    Since it is desired to enhance availability and safety of nuclear power plants operation and maintenance by removing human factor, there are many researches and developments for intelligent operation or diagnosis using artificial intelligence (AI) technique. We have been developing an autonomous operation and maintenance system for nuclear power plants by substituting AI's and intelligent robots. It is indispensable to use various and large scale knowledge relative to plant design, operation, and maintenance, that is, whole life cycle data of the plant for the autonomous nuclear power plant. These knowledge must be given to AI system or intelligent robots adequately and opportunely. Moreover, it is necessary to insure real time operation using the large scale knowledge base for plant control and diagnosis performance. We have been studying on the large scale and real time knowledge base system for autonomous plant. In the report, we would like to present the basic concept and expecting performance of the knowledge base for autonomous plant, especially, autonomous control and diagnosis system. (author)

  6. FORPS: a FORTH-based production system and its application to a real-time robot control problem

    International Nuclear Information System (INIS)

    Matheus, C.J.; Martin, H.L.

    1986-01-01

    A simple yet very powerful system has been developed that merges the artificial intelligence qualities of a production system with the real-time control capabilities of FORTH. FORPS (FORTH-based Production System) offers the advantages of intelligent, rule-based control in a small package offering high speed, extensibility, and simplicity. A practical example of the system is presented in the development of an obstacle avoidance program to aid in controlling an overhead manipulator transport system. Several other potential applications to the area of control are discussed

  7. Real Silver and Its Investment and Business Options

    Directory of Open Access Journals (Sweden)

    Novotný Josef

    2016-06-01

    Full Text Available The article deals with investment and business opportunities offered by silver. Silver is the metal used in industry and for investing at financial markets. The main problem related to this real commodity is the issue of “the undervaluation” of its investment options, if compared to gold. If considering silver as the investment option, its investment potential is significantly enhanced by its industrial usage. The aim of this paper is to highlight business and investment opportunities for both professionals and non professional investors at the commodity markets. The price growth of this investment and industrial metal can generate profits for the investors. And on the other hand, industries which cannot do without silver in their production may efficiently utilize the knowledge of setting up its price at the markets.

  8. Business Intelligence no Setor Farmacêutico. A Importância dos Dados para a Correta Tomada de Decisões

    Directory of Open Access Journals (Sweden)

    Márcio Lavrador

    2014-04-01

    Full Text Available Business intelligence emerges as a result of the symbiosis between technology and management within the company, which aims to generate knowledge, through data analysis, for correct decision-making. In Portugal, the pharmaceutical market showed a growth rate of -1,8% compared to the growth rate of 7,9% in Europe between 2007 and 2010. However, employability decreased by 9% compared to the European growth of 3%. In a falling market, in constant changing, emerges a dire need of different companies in the pharmaceutical sector (producer, distributor and retailer in adopting new tools that simplify the entire decision-making process. Using the diabetes medicines market as an example, this study will emphasize the many benefits of the work, taking place in the business intelligence department, and what it could represent for the companies, within its different departments.

  9. Data Virtualization for Business Intelligence Systems Revolutionizing Data Integration for Data Warehouses

    CERN Document Server

    van der Lans, Rick

    2012-01-01

    Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You'll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization r

  10. THE ROLE OF BUSINESS INTELLIGENCE IN BUSINESS PERFORMANCE MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Babeanu Delia

    2009-05-01

    Full Text Available Business performance management (BPM is a key business initiative that enables companies to align strategic and operational objectives with business activities in order to fully manage performance through better informed decision making and action. Effec

  11. Real-time skin feature identification in a time-sequential video stream

    Science.gov (United States)

    Kramberger, Iztok

    2005-04-01

    Skin color can be an important feature when tracking skin-colored objects. Particularly this is the case for computer-vision-based human-computer interfaces (HCI). Humans have a highly developed feeling of space and, therefore, it is reasonable to support this within intelligent HCI, where the importance of augmented reality can be foreseen. Joining human-like interaction techniques within multimodal HCI could, or will, gain a feature for modern mobile telecommunication devices. On the other hand, real-time processing plays an important role in achieving more natural and physically intuitive ways of human-machine interaction. The main scope of this work is the development of a stereoscopic computer-vision hardware-accelerated framework for real-time skin feature identification in the sense of a single-pass image segmentation process. The hardware-accelerated preprocessing stage is presented with the purpose of color and spatial filtering, where the skin color model within the hue-saturation-value (HSV) color space is given with a polyhedron of threshold values representing the basis of the filter model. An adaptive filter management unit is suggested to achieve better segmentation results. This enables the adoption of filter parameters to the current scene conditions in an adaptive way. Implementation of the suggested hardware structure is given at the level of filed programmable system level integrated circuit (FPSLIC) devices using an embedded microcontroller as their main feature. A stereoscopic clue is achieved using a time-sequential video stream, but this shows no difference for real-time processing requirements in terms of hardware complexity. The experimental results for the hardware-accelerated preprocessing stage are given by efficiency estimation of the presented hardware structure using a simple motion-detection algorithm based on a binary function.

  12. A multi-assets artificial stock market with zero-intelligence traders

    Science.gov (United States)

    Ponta, L.; Raberto, M.; Cincotti, S.

    2011-01-01

    In this paper, a multi-assets artificial financial market populated by zero-intelligence traders with finite financial resources is presented. The market is characterized by different types of stocks representing firms operating in different sectors of the economy. Zero-intelligence traders follow a random allocation strategy which is constrained by finite resources, past market volatility and allocation universe. Within this framework, stock price processes exhibit volatility clustering, fat-tailed distribution of returns and reversion to the mean. Moreover, the cross-correlations between returns of different stocks are studied using methods of random matrix theory. The probability distribution of eigenvalues of the cross-correlation matrix shows the presence of outliers, similar to those recently observed on real data for business sectors. It is worth noting that business sectors have been recovered in our framework without dividends as only consequence of random restrictions on the allocation universe of zero-intelligence traders. Furthermore, in the presence of dividend-paying stocks and in the case of cash inflow added to the market, the artificial stock market points out the same structural results obtained in the simulation without dividends. These results suggest a significative structural influence on statistical properties of multi-assets stock market.

  13. Development of simulator for the uranium enrichment plant using a real-time expert system

    International Nuclear Information System (INIS)

    Kodama, Shinichi; Kondo, Kazuhiro.

    1996-01-01

    The uranium enrichment plant simulator of the new material centrifuge cascade for intelligent process monitoring and alarm generation has been developed by applying an artificial intelligence technology. The real time expert shell, G2 has been used for the system development. The UF6 supply system and cascade equipment was modeled using G2. For a detailed calculation of the cascade, the cascade static characteristic FORTRAN program has been used. These calculation results have been used for the diagnosis of a suspicious behavior in measurement data. Especially, when the deviation of the product uranium concentration was detected, the cause of the deviation was inferred from the knowledge base. (author)

  14. Fiscal 2000 achievement report on the venture business assisting type regional consortium - Minor business creation base type. Development of 1-chip multifunctional motion sensor and its application to intelligent module; 2000 nendo chiiki consortium kenkyu kaihatsu jigyo seika hokokusho. 1 chip gata takino undo sensor no kaihatsu to intelligent module eno tekiyo

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-03-01

    The aim is to embody an intelligent micromodule for sensing bodily motions. For this purpose, technologies were established for high accuracy/high aspect ratio etching of crystals and for detecting angular velocity and acceleration, and a 1-chip multifunctional motion sensor was developed. The results of the efforts are briefly described below. A 1-chip multifunctional motion sensor (device size: 16 times 6 times 0.3mm) was developed, capable of simultaneously detecting uniaxial acceleration and uniaxial angular velocity, and an operating circuit was established for the detection. Using the 1-chip multifunctional motion sensor, a wrist watch type intelligent module was developed, capable of discriminating between various patterns of human behavior (walking, jogging, desk work, etc.). An intelligent module and the host computer were connected by wire or radio enabling the real-time observation of a patient's kinetic behavior, and this helped develop an application program allowing the quantification of the rate of recovery of patients undergoing rehabilitation. Using an intelligent module, an application program was developed enabling a laryngeal patient to establish communication by a physical action in case of emergency. (NEDO)

  15. Real-Time Mapping: Contemporary Challenges and the Internet of Things as the Way Forward

    Science.gov (United States)

    Bęcek, Kazimierz

    2016-12-01

    The Internet of Things (IoT) is an emerging technology that was conceived in 1999. The key components of the IoT are intelligent sensors, which represent objects of interest. The adjective `intelligent' is used here in the information gathering sense, not the psychological sense. Some 30 billion sensors that `know' the current status of objects they represent are already connected to the Internet. Various studies indicate that the number of installed sensors will reach 212 billion by 2020. Various scenarios of IoT projects show sensors being able to exchange data with the network as well as between themselves. In this contribution, we discuss the possibility of deploying the IoT in cartography for real-time mapping. A real-time map is prepared using data harvested through querying sensors representing geographical objects, and the concept of a virtual sensor for abstract objects, such as a land parcel, is presented. A virtual sensor may exist as a data record in the cloud. Sensors are identified by an Internet Protocol address (IP address), which implies that geographical objects through their sensors would also have an IP address. This contribution is an updated version of a conference paper presented by the author during the International Federation of Surveyors 2014 Congress in Kuala Lumpur. The author hopes that the use of the IoT for real-time mapping will be considered by the mapmaking community.

  16. AI based HealthCare Platform for Real Time, Predictive and Prescriptive Analytics using Reactive Programming

    Science.gov (United States)

    Kaur, Jagreet; Singh Mann, Kulwinder, Dr.

    2018-01-01

    AI in Healthcare needed to bring real, actionable insights and Individualized insights in real time for patients and Doctors to support treatment decisions., We need a Patient Centred Platform for integrating EHR Data, Patient Data, Prescriptions, Monitoring, Clinical research and Data. This paper proposes a generic architecture for enabling AI based healthcare analytics Platform by using open sources Technologies Apache beam, Apache Flink Apache Spark, Apache NiFi, Kafka, Tachyon, Gluster FS, NoSQL- Elasticsearch, Cassandra. This paper will show the importance of applying AI based predictive and prescriptive analytics techniques in Health sector. The system will be able to extract useful knowledge that helps in decision making and medical monitoring in real-time through an intelligent process analysis and big data processing.

  17. Organisational Dynamics and Ambiguity of Business Intelligence in Context of Enterprise Information Systems – a case study

    DEFF Research Database (Denmark)

    Tambo, Torben; Gabel, Ole Dahl; Olsen, Martin

    2012-01-01

    Business Intelligence (BI) is playing a major role in most Enterprise Information Systems (EIS) architectures providing strategic and tactical management information on selected issues. BI is typically detached from mainstream transaction systems and provides a translated view of the business...... present findings within the relationship between technology and business in BI is particularly complex as operational issues are secondary to the desired systems outcome’s character of a management construct. A management framework is proposed for BI related to its special characteristics involving...... to a dualistic understanding of BI as both a technological and a social system. The originality of this paper is in its augmentation of IS management with a better comprehension of the BI aspect intended to contribute to a distinct management framework for BI....

  18. Loglinear Approximate Solutions to Real-Business-Cycle Models: Some Observations

    Science.gov (United States)

    Lau, Sau-Him Paul; Ng, Philip Hoi-Tak

    2007-01-01

    Following the analytical approach suggested in Campbell, the authors consider a baseline real-business-cycle (RBC) model with endogenous labor supply. They observe that the coefficients in the loglinear approximation of the dynamic equations characterizing the equilibrium are related to the fundamental parameters in a relatively simple manner.…

  19. Development of a real time multiple target, multi camera tracker for civil security applications

    Science.gov (United States)

    Åkerlund, Hans

    2009-09-01

    A surveillance system has been developed that can use multiple TV-cameras to detect and track personnel and objects in real time in public areas. The document describes the development and the system setup. The system is called NIVS Networked Intelligent Video Surveillance. Persons in the images are tracked and displayed on a 3D map of the surveyed area.

  20. A GPS-based Real-time Road Traffic Monitoring System

    Science.gov (United States)

    Tanti, Kamal Kumar

    In recent years, monitoring systems are astonishingly inclined towards ever more automatic; reliably interconnected, distributed and autonomous operation. Specifically, the measurement, logging, data processing and interpretation activities may be carried out by separate units at different locations in near real-time. The recent evolution of mobile communication devices and communication technologies has fostered a growing interest in the GIS & GPS-based location-aware systems and services. This paper describes a real-time road traffic monitoring system based on integrated mobile field devices (GPS/GSM/IOs) working in tandem with advanced GIS-based application software providing on-the-fly authentications for real-time monitoring and security enhancement. The described system is developed as a fully automated, continuous, real-time monitoring system that employs GPS sensors and Ethernet and/or serial port communication techniques are used to transfer data between GPS receivers at target points and a central processing computer. The data can be processed locally or remotely based on the requirements of client’s satisfaction. Due to the modular architecture of the system, other sensor types may be supported with minimal effort. Data on the distributed network & measurements are transmitted via cellular SIM cards to a Control Unit, which provides for post-processing and network management. The Control Unit may be remotely accessed via an Internet connection. The new system will not only provide more consistent data about the road traffic conditions but also will provide methods for integrating with other Intelligent Transportation Systems (ITS). For communication between the mobile device and central monitoring service GSM technology is used. The resulting system is characterized by autonomy, reliability and a high degree of automation.

  1. NCU-SWIP Space Weather Instrumentation Payload - Intelligent Sensors On Efficient Real-Time Distributed LUTOS

    Science.gov (United States)

    Yeh, Tse-Liang; Dmitriev, Alexei; Chu, Yen-Hsyang; Jiang, Shyh-Biau; Chen, Li-Wu

    The NCU-SWIP - Space Weather Instrumentation Payload is developed for simultaneous in-situ and remote measurement of space weather parameters for cross verifications. The measurements include in-situ electron density, electron temperature, magnetic field, the deceleration of satellite due to neutral wind, and remotely the linear cumulative intensities of oxygen ion air-glows at 135.6nm and 630.0nm along the flight path in forward, nader, and backward directions for tomographic reconstruction of the electron density distribution underneath. This instrument package is suitable for micro satellite constellation to establish nominal space weather profiles and, thus, to detect abnormal variations as the signs of ionospheric disturbances induced by severe atmospheric weather, or earth quake - mantle movement through their Lithosphere-Atmosphere-Ionosphere Coupling Mechanism. NCU-SWIP is constructed with intelligent sensor modules connected by common bus with their functionalities managed by an efficient distributed real-time system LUTOS. The same hierarchy can be applied to the level of satellite constellation. For example SWIP's in a constellation in coordination with the GNSS Occultation Experiment TriG planned for the Formosa-7 constellation, data can be cross correlated for verification and refinement for real-time, stable and reliable measurements. A SWIP will be contributed to the construction of a MAI Micro Satellite for verification. The SWIP consists of two separate modules: the SWIP main control module and the SWIP-PMTomo sensor module. They are respectively a 1.5kg W120xL120xH100 (in mm) box with forward facing 120mmPhi circular disk probe on a boom top edged at 470mm height and a 7.2kg W126xL590x372H (in mm) slab containing 3 legs looking downwards along the flight path, while consuming the maximum electricity of 10W and 12W. The sensors are 1) ETPEDP measuring 16bits floating potentials for electron temperature range of 1000K to 3000K and 24bits electron

  2. Highly reliable computer network for real time system

    International Nuclear Information System (INIS)

    Mohammed, F.A.; Omar, A.A.; Ayad, N.M.A.; Madkour, M.A.I.; Ibrahim, M.K.

    1988-01-01

    Many of computer networks have been studied different trends regarding the network architecture and the various protocols that govern data transfers and guarantee a reliable communication among all a hierarchical network structure has been proposed to provide a simple and inexpensive way for the realization of a reliable real-time computer network. In such architecture all computers in the same level are connected to a common serial channel through intelligent nodes that collectively control data transfers over the serial channel. This level of computer network can be considered as a local area computer network (LACN) that can be used in nuclear power plant control system since it has geographically dispersed subsystems. network expansion would be straight the common channel for each added computer (HOST). All the nodes are designed around a microprocessor chip to provide the required intelligence. The node can be divided into two sections namely a common section that interfaces with serial data channel and a private section to interface with the host computer. This part would naturally tend to have some variations in the hardware details to match the requirements of individual host computers. fig 7

  3. Intelligence and temporal accuracy of behaviour: unique and shared associations with reaction time and motor timing.

    Science.gov (United States)

    Holm, Linus; Ullén, Fredrik; Madison, Guy

    2011-10-01

    Intelligence is associated with accuracy in a wide range of timing tasks. One source of such associations is likely to be individual differences in top-down control, e.g., sustained attention, that influence performance in both temporal tasks and other cognitively controlled behaviours. In addition, we have studied relations between intelligence and a simple rhythmic motor task, isochronous serial interval production (ISIP), and found a substantial component of that relation, which is independent of fluctuations in top-down control. The main purpose of the present study was to investigate whether such bottom-up mechanisms are involved also in the relation between intelligence and reaction time (RT) tasks. We thus investigated whether common variance between the ISIP and RT tasks underlies their respective associations with intelligence. Two hundred and twelve participants performed a simple RT task, a choice RT task and the ISIP task. Intelligence was assessed with the Raven SPM Plus. The analysed timing variables included mean and variability in the RT tasks and two variance components in the ISIP task. As predicted, RT and ISIP variables were associated with intelligence. The timing variables were positively intercorrelated, and a principal component analysis revealed a substantial first principal component that was strongly related to all timing variables, and positively correlated with intelligence. Furthermore, a commonality analysis demonstrated that the relations between intelligence and the timing variables involved a commonality between the timing variables as well as unique contributions from choice RT and ISIP. We discuss possible implications of these findings and argue that they support our main hypothesis, i.e., that relations between intelligence and RT tasks have a bottom-up component.

  4. An assessment of business intelligence in public hospitals

    Directory of Open Access Journals (Sweden)

    Rikke Gaardboe

    2017-01-01

    Full Text Available In this paper, DeLone and McLean's information systems success model is empirically tested on 12 public hospitals in Denmark. The study aims to investigate the factors that contribute to business intelligence (BI success. 1,352 BI end-users answered the questionnaire. A partial least square structural equation model was used to empirically test the model. We find that system quality is positively and significantly associated with use and user satisfaction, and that information quality is positively and significantly associated with user satisfaction. User satisfaction is positively and significantly related to individual impact. The other paths in the model are insignificant. Our findings also provide empirical support for the role of user satisfaction as a mechanism that mediates the relationship between information quality or system quality and individual impact. User satisfaction is not only a critical construct in the information systems success model but it also serves as a mediator. Generally, the model finds empirical support, as it has a good fit and predictive value.

  5. Managing knowledge business intelligence: A cognitive analytic approach

    Science.gov (United States)

    Surbakti, Herison; Ta'a, Azman

    2017-10-01

    The purpose of this paper is to identify and analyze integration of Knowledge Management (KM) and Business Intelligence (BI) in order to achieve competitive edge in context of intellectual capital. Methodology includes review of literatures and analyzes the interviews data from managers in corporate sector and models established by different authors. BI technologies have strong association with process of KM for attaining competitive advantage. KM have strong influence from human and social factors and turn them to the most valuable assets with efficient system run under BI tactics and technologies. However, the term of predictive analytics is based on the field of BI. Extracting tacit knowledge is a big challenge to be used as a new source for BI to use in analyzing. The advanced approach of the analytic methods that address the diversity of data corpus - structured and unstructured - required a cognitive approach to provide estimative results and to yield actionable descriptive, predictive and prescriptive results. This is a big challenge nowadays, and this paper aims to elaborate detail in this initial work.

  6. Designing with computational intelligence

    CERN Document Server

    Lopes, Heitor; Mourelle, Luiza

    2017-01-01

    This book discusses a number of real-world applications of computational intelligence approaches. Using various examples, it demonstrates that computational intelligence has become a consolidated methodology for automatically creating new competitive solutions to complex real-world problems. It also presents a concise and efficient synthesis of different systems using computationally intelligent techniques.

  7. Considerations in development of expert systems for real-time space applications

    Science.gov (United States)

    Murugesan, S.

    1988-01-01

    Over the years, demand on space systems has increased tremendously and this trend will continue for the near future. Enhanced capabilities of space systems, however, can only be met with increased complexity and sophistication of onboard and ground systems. Artificial Intelligence and expert system techniques have great potential in space applications. Expert systems could facilitate autonomous decision making, improve in-orbit fault diagnosis and repair, enhance performance and reduce reliance on ground support. However, real-time expert systems, unlike conventional off-line consultative systems, have to satisfy certain special stringent requirements before they could be used for onboard space applications. Challenging and interesting new environments are faced while developing expert system space applications. This paper discusses the special characteristics, requirements and typical life cycle issues for onboard expert systems. Further, it also describes considerations in design, development, and implementation which are particularly important to real-time expert systems for space applications.

  8. Decision making in the context of business intelligence and data quality

    Directory of Open Access Journals (Sweden)

    L. Marshall

    2009-02-01

    Full Text Available delaharper@cput.ac.za Making decisions in a business intelligence (BI environment can become extremely challenging and sometimes even impossible if the data on which the decisions are based are of poor quality. It is only possible to utilise data effectively when it is accurate, up-to-date, complete and available when needed. The BI decision makers and users are in the best position to determine the quality of the data available to them. It is important to ask the right questions of them; therefore the issues of information quality in the BI environment were established through a literature study. Information-related problems may cause supplier relationships to deteriorate, reduce internal productivity and the business' confidence in IT. Ultimately it can have implications for an organisation's ability to perform and remain competitive. The purpose of this article is aimed at identifying the underlying factors that prevent information from being easily and effectively utilised and understanding how these factors can influence the decision-making process, particularly within a BI environment. An exploratory investigation was conducted at a large retail organisation in South Africa to collect empirical data from BI users through unstructured interviews. Some of the main findings indicate specific causes that impact the decisions of BI users, including accuracy, inconsistency, understandability and availability of information. Key performance measures that are directly impacted by the quality of data on decision-making include waste, availability, sales and supplier fulfilment. The time spent on investigating and resolving data quality issues has a major impact on productivity. The importance of documentation was highlighted as an important issue that requires further investigation. The initial results indicate the value of

  9. Design of Real Time Data Acquisition System Framework for Production Workshop Based on OPC Technology

    Directory of Open Access Journals (Sweden)

    Yue-xin Yang

    2017-01-01

    Full Text Available In this paper, the low level of production management information in a hydraulic torque converter enterprise is presented. It is needed to develop a digital assembly shop MES to solve this problem. There is a high demand for the real-time data acquisition of the production line in the digital assembly shop MES. According to the actual needs of MES in digital assembly workshop, a real time data acquisition system framework based on OPC technology and database technology is proposed. The framework can be used to meet the actual needs of the real time monitoring system and production business information processing in MES.

  10. Systems Analyze Water Quality in Real Time

    Science.gov (United States)

    2010-01-01

    A water analyzer developed under Small Business Innovation Research (SBIR) contracts with Kennedy Space Center now monitors treatment processes at water and wastewater facilities around the world. Originally designed to provide real-time detection of nutrient levels in hydroponic solutions for growing plants in space, the ChemScan analyzer, produced by ASA Analytics Inc., of Waukesha, Wisconsin, utilizes spectrometry and chemometric algorithms to automatically analyze multiple parameters in the water treatment process with little need for maintenance, calibration, or operator intervention. The company has experienced a compound annual growth rate of 40 percent over its 15-year history as a direct result of the technology's success.

  11. An extension of the technology acceptance model for business intelligence systems: project management maturity perspective

    Directory of Open Access Journals (Sweden)

    Mirjana Pejić Bach

    2017-01-01

    Full Text Available Business intelligence systems (BISs refer to wide range of technologies and applications useful for retrieving and analyzing the large amount of information with the goal to generate knowledge useful for making effective business decision. In order to investigate adoption of BISs in companies, we propose a model based on the technology acceptance model (TAM that is expanded by variables representing the concept of a project management maturity (PMM. The survey on the sample of USA companies has been conducted with the chief information officer (CIO as the main informant. Structural equations model has been developed in order to test the research model. Results indicate that TAM expanded with the notion of PMM is useful in increasing understanding of BISs adoption in companies.

  12. The intelligent customer: considerations around build-own-operate business and licensing models for small modular reactors in Canada

    International Nuclear Information System (INIS)

    Jones, K.

    2014-01-01

    An organization planning a proposal for a build-own-operate business model needs to address expanded licensee responsibilities under this model, associated regulatory impacts and how this affects their role as an 'intelligent customer'. This is particularly important for cases where builder-owner-operators plan to manufacture factory-fuelled designs and ship them to a site for installation and operation. The primary responsibility for safe conduct of licensed activities rests with the licensee. A build-own-operate model expands the scope of licensed activities to include design, manufacturing, transport, construction, and operation. The licensee must be able to demonstrate they are qualified to conduct all licensed activities including sufficient competent resources within the licensee's organization to oversee('Intelligent Customer') any work it commissions externally and the subsequent flow down through of the supply chain. This paper examines aspects that organizations need to assess the suitability of approaches that it may take to maintain in-house expertise for the control and oversight of licensed activities at all times. It considers the approach to identification of: core capabilities the licensee would need to understand its safety case under a build-own-operate model to manage licensed activities in accordance with requirements under the Nuclear Safety and Control Acta licensee's 'intelligent customer' capabilities in particular around understanding, specifying, overseeing and accepting work undertaken on its behalf by contractors. While this paper is focused on small modular reactors, being an intelligent customer applies to large commercial or research reactors equally; the size of reactor is immaterial.

  13. The intelligent customer: considerations around build-own-operate business and licensing models for small modular reactors in Canada

    Energy Technology Data Exchange (ETDEWEB)

    Jones, K., E-mail: kenneth.jones@cnsc-ccsn.gc.ca [Canadian Nuclear Safety Commission, Ottawa, Ontario (Canada)

    2014-07-01

    An organization planning a proposal for a build-own-operate business model needs to address expanded licensee responsibilities under this model, associated regulatory impacts and how this affects their role as an 'intelligent customer'. This is particularly important for cases where builder-owner-operators plan to manufacture factory-fuelled designs and ship them to a site for installation and operation. The primary responsibility for safe conduct of licensed activities rests with the licensee. A build-own-operate model expands the scope of licensed activities to include design, manufacturing, transport, construction, and operation. The licensee must be able to demonstrate they are qualified to conduct all licensed activities including sufficient competent resources within the licensee's organization to oversee('Intelligent Customer') any work it commissions externally and the subsequent flow down through of the supply chain. This paper examines aspects that organizations need to assess the suitability of approaches that it may take to maintain in-house expertise for the control and oversight of licensed activities at all times. It considers the approach to identification of: core capabilities the licensee would need to understand its safety case under a build-own-operate model to manage licensed activities in accordance with requirements under the Nuclear Safety and Control Acta licensee's 'intelligent customer' capabilities in particular around understanding, specifying, overseeing and accepting work undertaken on its behalf by contractors. While this paper is focused on small modular reactors, being an intelligent customer applies to large commercial or research reactors equally; the size of reactor is immaterial.

  14. An Exploration on the Differences in Emotional Intelligence of First Year Students Examined across Disciplines within the School of Business in a Liberal Arts College

    Science.gov (United States)

    Yarrish, Karen K.; Law, Mark D.

    2009-01-01

    In preparing the next generation of business professionals, educators need to take seriously the responsibility of empowering students with tools to assist them in their pursuits. One area of interest is Emotional Intelligence. Emotional Intelligence determines how students exercise self-control, zeal and persistence, and the ability to motivate…

  15. PROBLEMS OF BUSINESS MANAGEMENT WITHIN A REAL ESTATE DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Dmitriy A. Bryksin

    2013-01-01

    Full Text Available This article describes problems of organization management within a real estate development, the analysis of this problems and the methods of its solution based on the Balanced Scorecard. In present unsteady conditions of business development, commercial activity faces a number of problems. The main types are: the problem of lack of funding, the problem of the growth of a company, the company’s management problem, the problem of business processes, and the problem of the decision-making. As a method to solve the problems is proposed an introduction of the balanced scorecard (BSC, which allows accurately feel the slightest changes in the company, deviation from the planned strategies and adjust the direction of the motion during the life of the company.

  16. Real-time analysis and display of reactor system mass inventory

    International Nuclear Information System (INIS)

    Dao, L.T.; Meachum, T.R.

    1982-01-01

    A mass inventory system (MIS) to evaluate, in real-time, the coolant distribution within the primary coolant system of the Loss-of-Fluid Test (LOFT) reactor has been developed. The computer-based system calculates and displays the coolant levels by two methods: using level measurements and performing a mass balance. The MIS is designed to provide up-to-date, intelligible information on the coolant distribution during any LOFT experiment. During LOFT experiments in which the primary coolant pumps are on, the method also provides void fraction information and the anticipated liquid level in the reactor vessel should the pumps be turned off

  17. Evaluation of business intelligence system usability

    OpenAIRE

    Poropat, Elvis

    2014-01-01

    The reality in businesses nowadays is the easy access to big amount of data that is being transferred into information. Reliable and useful information provide a competitive advantage in turbulent waters on all fields of business activities. Information is the foundation for all important business decisions. That means that on the informational foundation entire business structure is based. Information is needed at each stage of business operations, from enterprise’s entrance into the market,...

  18. Beginning Power BI with Excel 2013 self-service business intelligence using Power Pivot, Power View, Power Query, and Power Map

    CERN Document Server

    Clark, Dan

    2014-01-01

    Understanding your company's data has never been easier than with Microsoft's new Power BI package for Excel 2013. Consisting of four powerful tools-Power Pivot, Power View, Power Query and Power Maps-Power BI makes self-service business intelligence a reality for a wide range of users, bridging the traditional gap between Excel users, business analysts and IT experts and making it easier for everyone to work together to build the data models that can give you game-changing insights into your business. Beginning Power BI with Excel 2013 guides you step by step through the process of analyzin

  19. ISSUES IN MOBILE DISTRIBUTED REAL TIME DATABASES: PERFORMANCE AND REVIEW

    OpenAIRE

    VISHNU SWAROOP,; Gyanendra Kumar Gupta,; UDAI SHANKER

    2011-01-01

    Increase in handy and small electronic devices in computing fields; it makes the computing more popularand useful in business. Tremendous advances in wireless networks and portable computing devices have led to development of mobile computing. Support of real time database system depending upon thetiming constraints, due to availability of data distributed database, and ubiquitous computing pull the mobile database concept, which emerges them in a new form of technology as mobile distributed ...

  20. ABOUT EMOTIONAL INTELLIGENCE AND LEADERSHIP

    Directory of Open Access Journals (Sweden)

    RADULESCU Corina Michaela

    2012-12-01

    Full Text Available This article is, because of its topic of study, a part of management and includes details regarding the important role of emotional intelligence in management and leadership. The importance of this problem is related to the fact that, in Romanian management, this concept (being of a psycho-management nature, is poorly understood. Emotional intelligence is still a highly publicized concept in the West, subject to many controversies between recognized experts in various fields: organizational management, leadership, psychology, sociology. The target of the article is to highlight the fact that there are few management or recruitment consulting firms in Romania that support emotional intelligence development programs, and fewer are the organizations that realize the impact it has in running a business. Since 1995, from the first publication of Daniel Goleman's book, "Emotional intelligence", EQ has become one of the most debated concepts in U.S management. The content of the article calls for a new business climate, ensuring professional excellence. We want this to be "a guide" in cultivating emotional intelligence in individuals, groups and organizations, through leadership, trying to validate the scientific aspect. Because we live in a time when future projects depend increasingly more on self-control and on the art with which we know to maintain interpersonal relationships, such guidelines are necessary to prevent future challenges. The contribution of the authors brings to the forefront the debate about management, behavior management, the concept of emotional intelligence and the importance of understanding, knowing its substance, and the manner in which the management process has to be adopted in order to achieve positive results in an organization, as a system. Businessmen with a preemptive mind will encourage and support such an education in business, not only to improve the quality of management in their organization but also for the

  1. Recent progress in competitive intelligence, competitive technical intelligence and knowledge management

    Directory of Open Access Journals (Sweden)

    Dou Henri

    2011-04-01

    Full Text Available This paper discusses the role of competitive intelligence and knowledge management to create, maintain and sustain competitive advantages. The triple helix model, based on the integration of the public sector (government, business models (private corporations and universities to promote innovation is examined. Research trends in competitive intelligence are presented. It concludes that the systematic use of the technology monitoring should support the comparison between various business models of companies that hold the market best practices and form a basis to knowledge for the decision making process and strategies development.

  2. Design of real-time voice over internet protocol system under bandwidth network

    Science.gov (United States)

    Zhang, Li; Gong, Lina

    2017-04-01

    With the increasing bandwidth of the network and network convergence accelerating, VoIP means of communication across the network is becoming increasingly popular phenomenon. The real-time identification and analysis for VOIP flow over backbone network become the urgent needs and research hotspot of network operations management. Based on this, the paper proposes a VoIP business management system over backbone network. The system first filters VoIP data stream over backbone network and further resolves the call signaling information and media voice. The system can also be able to design appropriate rules to complete real-time reduction and presentation of specific categories of calls. Experimental results show that the system can parse and process real-time backbone of the VoIP call, and the results are presented accurately in the management interface, VoIP-based network traffic management and maintenance provide the necessary technical support.

  3. Optimal Real-time Dispatch for Integrated Energy Systems

    DEFF Research Database (Denmark)

    Anvari-Moghaddam, Amjad; Guerrero, Josep M.; Rahimi-Kian, Ashkan

    2016-01-01

    With the emerging of small-scale integrated energy systems (IESs), there are significant potentials to increase the functionality of a typical demand-side management (DSM) strategy and typical implementation of building-level distributed energy resources (DERs). By integrating DSM and DERs...... into a cohesive, networked package that fully utilizes smart energy-efficient end-use devices, advanced building control/automation systems, and integrated communications architectures, it is possible to efficiently manage energy and comfort at the end-use location. In this paper, an ontology-driven multi......-agent control system with intelligent optimizers is proposed for optimal real-time dispatch of an integrated building and microgrid system considering coordinated demand response (DR) and DERs management. The optimal dispatch problem is formulated as a mixed integer nonlinear programing problem (MINLP...

  4. FORMENTOR real-time decision support for risk management

    International Nuclear Information System (INIS)

    Pennings, R.; Gerlinger, G.; Ponamale, M.

    1995-01-01

    The supervision of complex industrial processes, such as in the chemical, nuclear or aerospace industries, is a difficult task. The FORMENTOR methodology allows the development of supervision support systems to aid operations in their tasks, especially when dealing with perturbations and hazardous situations. A FORMENTOR system presents a synthetic plant-wide view of the current situation, diagnoses the underlying causes of perturbations, predicts possible future evolutions and proposes remedial actions. For this the methodology integrates models, techniques and tools from four domains namely artificial intelligence, safety analysis, real-time computing and ergonomics. The methodological approach provides firm control over the development process while meeting the quality and technical requirements of the client; furthermore it ensures the reliability and maintainability of the obtained system

  5. Um estudo de caso envolvendo Business Intelligence como instrumento de apoio à controladoria A case study of Business Intelligence as instrument to support controllership

    Directory of Open Access Journals (Sweden)

    Luciane Reginato

    2007-06-01

    Full Text Available Esta pesquisa buscou investigar a contribuição das ferramentas da tecnologia da informação, especificamente as de Business Intelligence (BI, para a área de controladoria exercer sua função de suprir o processo decisório com as informações úteis por ele requeridas. O estudo foi conduzido através de pesquisa de campo, especialmente de um estudo de caso, em que o assunto pôde ser analisado em detalhes. Para tanto, foram aplicadas entrevistas, orientadas por um roteiro construído para esse fim e por um protocolo previamente elaborado para o estudo, bem como foram analisados documentos internos, registros em arquivos e observação direta como fonte de evidências. O período de abrangência da análise dos dados foi de agosto de 2003 a dezembro de 2005, tendo sido possível observar a situação da empresa objeto do estudo antes e depois da implementação das ferramentas de BI. Após a análise das entrevistas, dos indicadores das áreas e de seu impacto no resultado global da empresa, concluiu-se que as referidas ferramentas podem auxiliar a controladoria na função de prover informações confiáveis, úteis e tempestivas ao processo decisório, por meio de sua flexibilização e dinamicidade, proporcionando, como conseqüência, a melhoria dos resultados das áreas organizacionais, bem como da empresa como um todo.This research examined the contribution of tools provided by Information Technology and specifically Business Intelligence (BI, for the controllership area to perform its function of supporting the decision-making process with useful information. The study was carried out through a field research, specifically a case study, in which the subject could be analyzed in detail. Therefore, interviews were held, guided by a structured script and by a previously elaborated form. Internal documents, files and direct observations were also analyzed as sources of evidence. The period covered by data analysis was from August 2003

  6. Identity and access management business performance through connected intelligence

    CERN Document Server

    Osmanoglu, Ertem

    2013-01-01

    Identity and Access Management: Controlling Your Network provides you with a practical, in-depth walkthrough of how to plan, assess, design, and deploy IAM solutions. This book breaks down IAM into manageable components to ease systemwide implementation. The hands-on, end-to-end approach includes a proven step-by-step method for deploying IAM that has been used successfully in over 200 deployments. The book also provides reusable templates and source code examples in Java, XML, and SPML.Focuses on real-word implementations Provides end-to-end coverage of IAM from business drivers, requirements

  7. The Development of a Teaching Strategy for Implementing a Real-World Business Project into Database Courses

    Science.gov (United States)

    Seyed-Abbassi, Behrooz; King, Ronnie; Wiseman, Eddie

    2007-01-01

    Collaborations between business and academia provide valuable opportunities for students to connect classroom learning with practical work experience. To effectively reach a significant number of students, one approach is to meld a real-world business project and classroom assignment into a realistic business scenario that can be addressed by…

  8. Real-time information and processing system for radiation protection

    International Nuclear Information System (INIS)

    Oprea, I.; Oprea, M.; Stoica, M.; Badea, E.; Guta, V.

    1999-01-01

    The real-time information and processing system has as main task to record, collect, process and transmit the radiation level and weather data, being proposed for radiation protection, environmental monitoring around nuclear facilities and for civil defence. Such a system can offer information in order to provide mapping, data base, modelling and communication and to assess the consequences of nuclear accidents. The system incorporates a number of stationary or mobile radiation monitoring equipment, weather parameter measuring station, a GIS-based information processing center and the communication network, all running on a real-time operating system. It provides the automatic data collection on-line and off-line, remote diagnostic, advanced presentation techniques, including a graphically oriented executive support, which has the ability to respond to an emergency by geographical representation of the hazard zones on the map.The system can be integrated into national or international environmental monitoring systems, being based on local intelligent measuring and transmission units, simultaneous processing and data presentation using a real-time operating system for PC and geographical information system (GIS). Such an integrated system is composed of independent applications operating under the same computer, which is capable to improve the protection of the population and decision makers efforts, updating the remote GIS data base. All information can be managed directly from the map by multilevel data retrieving and presentation by using on-line dynamic evolution of the events, environment information, evacuation optimization, image and voice processing

  9. Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural networks for plug-in hybrid electric vehicles fuel economy

    Science.gov (United States)

    Mozaffari, Ahmad; Vajedi, Mahyar; Azad, Nasser L.

    2015-06-01

    The main proposition of the current investigation is to develop a computational intelligence-based framework which can be used for the real-time estimation of optimum battery state-of-charge (SOC) trajectory in plug-in hybrid electric vehicles (PHEVs). The estimated SOC trajectory can be then employed for an intelligent power management to significantly improve the fuel economy of the vehicle. The devised intelligent SOC trajectory builder takes advantage of the upcoming route information preview to achieve the lowest possible total cost of electricity and fossil fuel. To reduce the complexity of real-time optimization, the authors propose an immune system-based clustering approach which allows categorizing the route information into a predefined number of segments. The intelligent real-time optimizer is also inspired on the basis of interactions in biological immune systems, and is called artificial immune algorithm (AIA). The objective function of the optimizer is derived from a computationally efficient artificial neural network (ANN) which is trained by a database obtained from a high-fidelity model of the vehicle built in the Autonomie software. The simulation results demonstrate that the integration of immune inspired clustering tool, AIA and ANN, will result in a powerful framework which can generate a near global optimum SOC trajectory for the baseline vehicle, that is, the Toyota Prius PHEV. The outcomes of the current investigation prove that by taking advantage of intelligent approaches, it is possible to design a computationally efficient and powerful SOC trajectory builder for the intelligent power management of PHEVs.

  10. SAP BusinessObjects reporting cookbook

    CERN Document Server

    Yahav, Yoav

    2014-01-01

    If you are a business analyst, BI developer, or an IT professional who wants to learn the A to Z of how to work with Web Intelligence reporting tools and different types of data, then this book is for you. The only thing you need is a basic understanding of what Business Intelligence is and data concepts.

  11. Real-time shadows

    CERN Document Server

    Eisemann, Elmar; Assarsson, Ulf; Wimmer, Michael

    2011-01-01

    Important elements of games, movies, and other computer-generated content, shadows are crucial for enhancing realism and providing important visual cues. In recent years, there have been notable improvements in visual quality and speed, making high-quality realistic real-time shadows a reachable goal. Real-Time Shadows is a comprehensive guide to the theory and practice of real-time shadow techniques. It covers a large variety of different effects, including hard, soft, volumetric, and semi-transparent shadows.The book explains the basics as well as many advanced aspects related to the domain

  12. Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid

    Directory of Open Access Journals (Sweden)

    Park JongHyuk

    2009-01-01

    Full Text Available This paper is about the intelligent decision-making system for the smart grid based electricity market which requires distributed decision making on the competitive environments composed of many players and components. It is very important to consider the renewable energy and emission problem which are expected to be monitored by wireless communication networks. It is very difficult to predict renewable energy outputs and emission prices over time horizon, so it could be helpful to catch up those data on real time basis using many different kinds of communication infrastructures. On this backgrounds this paper provides an algorithm to make an optimal decision considering above factors.

  13. Dependable Real-Time Systems

    Science.gov (United States)

    1991-09-30

    0196 or 413 545-0720 PI E-mail Address: krithi@nirvan.cs.umass.edu, stankovic(ocs.umass.edu Grant or Contract Title: Dependable Real - Time Systems Grant...Dependable Real - Time Systems " Grant or Contract Number: N00014-85-k-0398 L " Reporting Period: 1 Oct 87 - 30 Sep 91 , 2. Summary of Accomplishments ’ 2.1 Our...in developing a sound approach to scheduling tasks in complex real - time systems , (2) developed a real-time operating system kernel, a preliminary

  14. Real time determination of dose radiation through artificial intelligence and virtual reality

    International Nuclear Information System (INIS)

    Freitas, Victor G.G.; Mol, Antonio C.A.; Pereira, Claudio M.N.A.

    2009-01-01

    In the last years, a virtual environment of Argonauta research reactor, sited in the Instituto de Engenharia Nuclear (Brazil), has been developed. Such environment, called here Argonauta Virtual (AV), is a 3D model of the reactor hall, in which virtual people (avatar) can navigate. In AV, simulations of nuclear sources and doses are possible. In a recent work, a real time monitoring system (RTMS) was developed to provide (by means of Ethernet TCP/IP) the information of area detectors situated in the reactor hall. Extending the scope of AV, this work is intended to provide a continuous determination of gamma radiation dose in the reactor hall, based in several monitored parameters. To accomplish that a module based in artificial neural network (ANN) was developed. The ANN module is able to predict gamma radiation doses using as inputs: the avatar position (from virtual environment), the reactor power (from RTMS) and information of fixed area detectors (from RTMS). The ANN training data has been obtained by measurements of gamma radiation doses in a mesh of points, with previously defined positions, for different power levels. Through the use of ANN it is possible to estimate, in real time, the dose received by a person at any position in Argonauta reactor hall. Such approach allows tasks simulations and training of people inside the AV system, without exposing them to radiation effects. (author)

  15. Real time determination of dose radiation through artificial intelligence and virtual reality

    International Nuclear Information System (INIS)

    Freitas, Victor Goncalves Gloria

    2009-01-01

    In the last years, a virtual environment of Argonauta research reactor, sited in the Instituto de Engenharia Nuclear (Brazil), has been developed. Such environment, called here Argonauta Virtual (AV), is a 3D model of the reactor hall, in which virtual people (avatar) can navigate. In AV, simulations of nuclear sources and doses are possible. In a recent work, a real time monitoring system (RTMS) was developed to provide (by means of Ethernet TCP/I P) the information of area detectors situated in the reactor hall. Extending the scope of AV, this work is intended to provide a continuous determination of gamma radiation dose in the reactor hall, based in several monitored parameters. To accomplish that a module based in artificial neural network (ANN) was developed. The ANN module is able to predict gamma radiation doses using as inputs: the avatar position (from virtual environment), the reactor power (from RTMS) and information of fixed area detectors (from RTMS). The ANN training data has been obtained by measurements of gamma radiation doses in a mesh of points, with previously defined positions, for different power levels. Through the use of ANN it is possible to estimate, in real time, the dose received by a person at any position in Argonauta reactor hall. Such approach allows tasks simulations and training of people inside the AV system, without exposing them to radiation effects. (author)

  16. LabVIEW Real-Time

    CERN Multimedia

    CERN. Geneva; Flockhart, Ronald Bruce; Seppey, P

    2003-01-01

    With LabVIEW Real-Time, you can choose from a variety of RT Series hardware. Add a real-time data acquisition component into a larger measurement and automation system or create a single stand-alone real-time solution with data acquisition, signal conditioning, motion control, RS-232, GPIB instrumentation, and Ethernet connectivity. With the various hardware options, you can create a system to meet your precise needs today, while the modularity of the system means you can add to the solution as your system requirements grow. If you are interested in Reliable and Deterministic systems for Measurement and Automation, you will profit from this seminar. Agenda: Real-Time Overview LabVIEW RT Hardware Platforms - Linux on PXI Programming with LabVIEW RT Real-Time Operating Systems concepts Timing Applications Data Transfer

  17. Concepts of real time and semi-real time material control

    International Nuclear Information System (INIS)

    Lovett, J.E.

    1975-01-01

    After a brief consideration of the traditional material balance accounting on an MBA basis, this paper explores the basic concepts of real time and semi-real time material control, together with some of the major problems to be solved. Three types of short-term material control are discussed: storage, batch processing, and continuous processing. (DLC)

  18. An overview on real-time control schemes for wheeled mobile robot

    Science.gov (United States)

    Radzak, M. S. A.; Ali, M. A. H.; Sha’amri, S.; Azwan, A. R.

    2018-04-01

    The purpose of this paper is to review real-time control motion algorithms for wheeled mobile robot (WMR) when navigating in environment such as road. Its need a good controller to avoid collision with any disturbance and maintain a track error at zero level. The controllers are used with other aiding sensors to measure the WMR’s velocities, posture, and interference to estimate the required torque to be applied on the wheels of mobile robot. Four main categories for wheeled mobile robot control systems have been found in literature which are namely: Kinematic based controller, Dynamic based controllers, artificial intelligence based control system, and Active Force control. A MATLAB/Simulink software is the main software to simulate and implement the control system. The real-time toolbox in MATLAB/SIMULINK are used to receive/send data from sensors/to actuator with presence of disturbances, however others software such C, C++ and visual basic are rare to be used.

  19. Real Time Systems

    DEFF Research Database (Denmark)

    Christensen, Knud Smed

    2000-01-01

    Describes fundamentals of parallel programming and a kernel for that. Describes methods for modelling and checking parallel problems. Real time problems.......Describes fundamentals of parallel programming and a kernel for that. Describes methods for modelling and checking parallel problems. Real time problems....

  20. Real time expert systems

    International Nuclear Information System (INIS)

    Asami, Tohru; Hashimoto, Kazuo; Yamamoto, Seiichi

    1992-01-01

    Recently, aiming at the application to the plant control for nuclear reactors and traffic and communication control, the research and the practical use of the expert system suitable to real time processing have become conspicuous. In this report, the condition for the required function to control the object that dynamically changes within a limited time is presented, and the technical difference between the real time expert system developed so as to satisfy it and the expert system of conventional type is explained with the actual examples and from theoretical aspect. The expert system of conventional type has the technical base in the problem-solving equipment originating in STRIPS. The real time expert system is applied to the fields accompanied by surveillance and control, to which conventional expert system is hard to be applied. The requirement for the real time expert system, the example of the real time expert system, and as the techniques of realizing real time processing, the realization of interruption processing, dispersion processing, and the mechanism of maintaining the consistency of knowledge are explained. (K.I.)