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...

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.

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.

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.

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.

Business Intelligence Systems

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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.

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.

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.

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

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

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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

Towards New Probabilistic Assumptions in Business Intelligence

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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.

BUSINESS INTELLIGENCE FOR INSURANCE COMPANIES

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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.

Business intelligence as a tool in the management academic

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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.

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.

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.

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...

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...

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...

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...

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.

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.…

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

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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.

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

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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

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...

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

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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.

Business Intelligence and Implementation in a Small Enterprise

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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.

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....

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...

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 ...

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…

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.

Business Intelligence Integrated Solutions

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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.

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...

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

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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.

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.

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...

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

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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.

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...

Key Success Factors in Business Intelligence

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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.

Como obter vantagem competitiva utilizando business intelligence

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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.

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.

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

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

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

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.

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....

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.

Business Intelligence technology: The Croatian case

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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.

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 ...

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.

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.

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.

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...

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...

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.

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...

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

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...

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.

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.

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.

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.

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.”

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.

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…

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.

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

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...

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.

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.

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

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 ...

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 (...

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

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

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.

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...

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.

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.

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.

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 ...

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...

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.

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...

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 ...

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...

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.

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.

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.

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

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.

INFORMATION ARCHITECTURE ANALYSIS USING BUSINESS INTELLIGENCE TOOLS BASED ON THE INFORMATION NEEDS OF EXECUTIVES

Directory of Open Access Journals (Sweden)

Fabricio Sobrosa Affeldt

2013-08-01

Full Text Available Devising an information architecture system that enables an organization to centralize information regarding its operational, managerial and strategic performance is one of the challenges currently facing information technology. The present study aimed to analyze an information architecture system developed using Business Intelligence (BI technology. The analysis was performed based on a questionnaire enquiring as to whether the information needs of executives were met during the process. A theoretical framework was applied consisting of information architecture and BI technology, using a case study methodology. Results indicated that the transaction processing systems studied did not meet the information needs of company executives. Information architecture using data warehousing, online analytical processing (OLAP tools and data mining may provide a more agile means of meeting these needs. However, some items must be included and others modified, in addition to improving the culture of information use by company executives.

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.

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...

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.

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

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.

Artificial intelligence - New tools for aerospace project managers

Science.gov (United States)

Moja, D. C.

1985-01-01

Artificial Intelligence (AI) is currently being used for business-oriented, money-making applications, such as medical diagnosis, computer system configuration, and geological exploration. The present paper has the objective to assess new AI tools and techniques which will be available to assist aerospace managers in the accomplishment of their tasks. A study conducted by Brown and Cheeseman (1983) indicates that AI will be employed in all traditional management areas, taking into account goal setting, decision making, policy formulation, evaluation, planning, budgeting, auditing, personnel management, training, legal affairs, and procurement. Artificial intelligence/expert systems are discussed, giving attention to the three primary areas concerned with intelligent robots, natural language interfaces, and expert systems. Aspects of information retrieval are also considered along with the decision support system, and expert systems for project planning and scheduling.

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

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.

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.

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 ...

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 ...

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...

Integrating and analyzing medical and environmental data using ETL and Business Intelligence tools

Science.gov (United States)

Villar, Alejandro; Zarrabeitia, María T.; Fdez-Arroyabe, Pablo; Santurtún, Ana

2018-06-01

Processing data that originates from different sources (such as environmental and medical data) can prove to be a difficult task, due to the heterogeneity of variables, storage systems, and file formats that can be used. Moreover, once the amount of data reaches a certain threshold, conventional mining methods (based on spreadsheets or statistical software) become cumbersome or even impossible to apply. Data Extract, Transform, and Load (ETL) solutions provide a framework to normalize and integrate heterogeneous data into a local data store. Additionally, the application of Online Analytical Processing (OLAP), a set of Business Intelligence (BI) methodologies and practices for multidimensional data analysis, can be an invaluable tool for its examination and mining. In this article, we describe a solution based on an ETL + OLAP tandem used for the on-the-fly analysis of tens of millions of individual medical, meteorological, and air quality observations from 16 provinces in Spain provided by 20 different national and regional entities in a diverse array for file types and formats, with the intention of evaluating the effect of several environmental variables on human health in future studies. Our work shows how a sizable amount of data, spread across a wide range of file formats and structures, and originating from a number of different sources belonging to various business domains, can be integrated in a single system that researchers can use for global data analysis and mining.

Integrating and analyzing medical and environmental data using ETL and Business Intelligence tools.

Science.gov (United States)

Villar, Alejandro; Zarrabeitia, María T; Fdez-Arroyabe, Pablo; Santurtún, Ana

2018-03-07

Processing data that originates from different sources (such as environmental and medical data) can prove to be a difficult task, due to the heterogeneity of variables, storage systems, and file formats that can be used. Moreover, once the amount of data reaches a certain threshold, conventional mining methods (based on spreadsheets or statistical software) become cumbersome or even impossible to apply. Data Extract, Transform, and Load (ETL) solutions provide a framework to normalize and integrate heterogeneous data into a local data store. Additionally, the application of Online Analytical Processing (OLAP), a set of Business Intelligence (BI) methodologies and practices for multidimensional data analysis, can be an invaluable tool for its examination and mining. In this article, we describe a solution based on an ETL + OLAP tandem used for the on-the-fly analysis of tens of millions of individual medical, meteorological, and air quality observations from 16 provinces in Spain provided by 20 different national and regional entities in a diverse array for file types and formats, with the intention of evaluating the effect of several environmental variables on human health in future studies. Our work shows how a sizable amount of data, spread across a wide range of file formats and structures, and originating from a number of different sources belonging to various business domains, can be integrated in a single system that researchers can use for global data analysis and mining.

Integrating and analyzing medical and environmental data using ETL and Business Intelligence tools

Science.gov (United States)

Villar, Alejandro; Zarrabeitia, María T.; Fdez-Arroyabe, Pablo; Santurtún, Ana

2018-03-01

Processing data that originates from different sources (such as environmental and medical data) can prove to be a difficult task, due to the heterogeneity of variables, storage systems, and file formats that can be used. Moreover, once the amount of data reaches a certain threshold, conventional mining methods (based on spreadsheets or statistical software) become cumbersome or even impossible to apply. Data Extract, Transform, and Load (ETL) solutions provide a framework to normalize and integrate heterogeneous data into a local data store. Additionally, the application of Online Analytical Processing (OLAP), a set of Business Intelligence (BI) methodologies and practices for multidimensional data analysis, can be an invaluable tool for its examination and mining. In this article, we describe a solution based on an ETL + OLAP tandem used for the on-the-fly analysis of tens of millions of individual medical, meteorological, and air quality observations from 16 provinces in Spain provided by 20 different national and regional entities in a diverse array for file types and formats, with the intention of evaluating the effect of several environmental variables on human health in future studies. Our work shows how a sizable amount of data, spread across a wide range of file formats and structures, and originating from a number of different sources belonging to various business domains, can be integrated in a single system that researchers can use for global data analysis and mining.

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

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.

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

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

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…

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....

The Audit of Business Intelligence Solutions

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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.

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...

Business and Social Behaviour Intelligence Analysis Using PSO

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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

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.

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.

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.

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)

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.

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...

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…

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...

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

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 ...

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.

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.

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.

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…

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

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…

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...

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...

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…

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.

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…

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.

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.

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...

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.

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...

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 ...

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...

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.

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...

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.

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...

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 .

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.

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 ...

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

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...

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.

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.

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...

Towards a New Approach of the Economic Intelligence Process: Basic Concepts, Analysis Methods and Informational Tools

Directory of Open Access Journals (Sweden)

Sorin Briciu

2009-04-01

Full Text Available One of the obvious trends in current business environment is the increased competition. In this context, organizations are becoming more and more aware of the importance of knowledge as a key factor in obtaining competitive advantage. A possible solution in knowledge management is Economic Intelligence (EI that involves the collection, evaluation, processing, analysis, and dissemination of economic data (about products, clients, competitors, etc. inside organizations. The availability of massive quantities of data correlated with advances in information and communication technology allowing for the filtering and processing of these data provide new tools for the production of economic intelligence.The research is focused on innovative aspects of economic intelligence process (models of analysis, activities, methods and informational tools and is providing practical guidelines for initiating this process. In this paper, we try: (a to contribute to a coherent view on economic intelligence process (approaches, stages, fields of application; b to describe the most important models of analysis related to this process; c to analyze the activities, methods and tools associated with each stage of an EI process.

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.

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

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.

A Business Analytics Software Tool for Monitoring and Predicting Radiology Throughput Performance.

Science.gov (United States)

Jones, Stephen; Cournane, Seán; Sheehy, Niall; Hederman, Lucy

2016-12-01

Business analytics (BA) is increasingly being utilised by radiology departments to analyse and present data. It encompasses statistical analysis, forecasting and predictive modelling and is used as an umbrella term for decision support and business intelligence systems. The primary aim of this study was to determine whether utilising BA technologies could contribute towards improved decision support and resource management within radiology departments. A set of information technology requirements were identified with key stakeholders, and a prototype BA software tool was designed, developed and implemented. A qualitative evaluation of the tool was carried out through a series of semi-structured interviews with key stakeholders. Feedback was collated, and emergent themes were identified. The results indicated that BA software applications can provide visibility of radiology performance data across all time horizons. The study demonstrated that the tool could potentially assist with improving operational efficiencies and management of radiology resources.

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.

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.

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...

Evaluating the Impact of Business Intelligence Tools on Organizational Performance in Food and Groceries Retail

Directory of Open Access Journals (Sweden)

Sailaja Venuturumilli

2016-01-01

Full Text Available While retailers are spending a significant portion of its information technology (IT budgets on BI and related technology in order to handle the ever increasing volumes of data, the actual benefits derived from these tools needs to be explored. The study focuses on the organized food and groceries retail, and explores benefits of business intelligence (BI and hypothesis‟s a structural causal relationship among its intrinsic attributes, and impact on organizational performance. A focus group of selected senior marketing employees was used to develop and validate the research model. Based on findings from the literature survey and focus group, a survey instrument was developed to empirically validate the research model. Data collected from senior marketing executives and managers from six organized food and groceries retail was analyzed using exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. Five major categories of BI were identified: (1 access to data quality, (2 improved managerial effectiveness, (3 improved operational effectiveness, (4 improved customer orientation and (5 improved organizational efficiency. From the structural causal relationship analysis, a significant relationship was found between intrinsic attributes and benefits of BI and data quality. The structural equation model also suggests a significant relationship between BI and data quality on organizational performance.

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…

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…

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...

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.

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

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...

Competitive intelligence tools used by small and medium-sized enterprises

Directory of Open Access Journals (Sweden)

Tshilidzi Eric Nenzhelele

2015-08-01

Full Text Available Small and Medium-sized Enterprises (SMEs contribute highly to the gross domestic product, reduction in unemployment, wealth creation and improvement in the quality of life. Due to technology and globalisation, SMEs now compete with enterprises beyond the borders of their country. To survive in this global competitive business environment, SMEs seek for tools that offer competitive advantage. Competitive Intelligence (CI provides competitive advantage to enterprises that practice it. While CI practice has been widely research for larger enterprises, there is lack of research on CI practice pertaining to SMEs. This research establishes tools used by SMEs in CI practice. The research was quantitative in nature and a self-administered questionnaire was used to collected data from owners/managers of SMEs

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…

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.

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.

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.

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.

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...

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.

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 ...

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...

Bitcoin Intelligence – Business 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.

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...

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.

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…

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…

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

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...

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...

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

Clinical Data Warehouse: An Effective Tool to Create Intelligence in Disease Management.

Science.gov (United States)

Karami, Mahtab; Rahimi, Azin; Shahmirzadi, Ali Hosseini

Clinical business intelligence tools such as clinical data warehouse enable health care organizations to objectively assess the disease management programs that affect the quality of patients' life and well-being in public. The purpose of these programs is to reduce disease occurrence, improve patient care, and decrease health care costs. Therefore, applying clinical data warehouse can be effective in generating useful information about aspects of patient care to facilitate budgeting, planning, research, process improvement, external reporting, benchmarking, and trend analysis, as well as to enable the decisions needed to prevent the progression or appearance of the illness aligning with maintaining the health of the population. The aim of this review article is to describe the benefits of clinical data warehouse applications in creating intelligence for disease management programs.

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...

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.

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)

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…

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.

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

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.

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.

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.

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.

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…

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

Intelligent Tools and Instructional Simulations

National Research Council Canada - National Science Library

Murray, William R; Sams, Michelle; Belleville, Michael

2001-01-01

This intelligent tools and instructional simulations project was an investigation into the utility of a knowledge-based performance support system to support learning and on-task performance for using...

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…

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.

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.

Defense Intelligence: Additional Steps Could Better Integrate Intelligence Input into DODs Acquisition of Major Weapon Systems

Science.gov (United States)

2016-11-01

into its acquisitions; and (3) efforts to develop tools to integrate intelligence into its acquisitions. GAO compared certification and training to...conduct their business , and that the centers currently were not prioritizing, verifying, or balancing the work related to producing intelligence mission...Force, and we observed briefings from the task force to the Acquisition Intelligence Requirements Executive Steering Group. We also compared the

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.

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...

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 ...

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…

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)

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.

An Integral Model to Provide Reactive and Proactive Services in an Academic CSIRT Based on Business Intelligence

OpenAIRE

Walter Fuertes; Francisco Reyes; Paúl Valladares; Freddy Tapia; Theofilos Toulkeridis; Ernesto Pérez

2017-01-01

Cyber-attacks have increased in severity and complexity. That requires, that the CERT/CSIRT research and develops new security tools. Therefore, our study focuses on the design of an integral model based on Business Intelligence (BI), which provides reactive and proactive services in a CSIRT, in order to alert and reduce any suspicious or malicious activity on information systems and data networks. To achieve this purpose, a solution has been assembled, that generates information stores, bein...

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...

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.

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. 

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.

Artificial intelligence tool development and applications to nuclear power

International Nuclear Information System (INIS)

Naser, J.A.

1987-01-01

Two parallel efforts are being performed at the Electric Power Research Institute (EPRI) to help the electric utility industry take advantage of the expert system technology. The first effort is the development of expert system building tools, which are tailored to electric utility industry applications. The second effort is the development of expert system applications. These two efforts complement each other. The application development tests the tools and identifies additional tool capabilities that are required. The tool development helps define the applications that can be successfully developed. Artificial intelligence, as demonstrated by the developments described is being established as a credible technological tool for the electric utility industry. The challenge to transferring artificial intelligence technology and an understanding of its potential to the electric utility industry is to gain an understanding of the problems that reduce power plant performance and identify which can be successfully addressed using artificial intelligence

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...

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.

[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.

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.

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…

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…

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)…

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. 

Small Business Management Training Tools Directory.

Science.gov (United States)

American Association of Community and Junior Colleges, Washington, DC. National Small Business Training Network.

This directory is designed to assist in the identification of supplementary materials to support program development for small businesses. Following introductory comments and an overview of small business management training, section I lists training tools available from the Small Business Administration (SBA). Section II provides descriptions and…

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.

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

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…

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.

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...

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…

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...

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.

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...

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

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...

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

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...

Firearm microstamping technology: counterinsurgency intelligence gathering tool

Science.gov (United States)

Lizotte, Todd E.; Ohar, Orest P.

2009-05-01

Warfare relies on effective, accurate and timely intelligence an especially critical task when conducting a counterinsurgency operation [1]. Simply stated counterinsurgency is an intelligence war. Both insurgents and counterinsurgents need effective intelligence capabilities to be successful. Insurgents and counterinsurgents therefore attempt to create and maintain intelligence networks and fight continuously to neutralize each other's intelligence capabilities [1][2]. In such an environment it is obviously an advantage to target or proactively create opportunities to track and map an insurgent movement. Quickly identifying insurgency intelligence assets (Infiltrators) within a host government's infrastructure is the goal. Infiltrators can occupy various areas of government such as security personnel, national police force, government offices or military units. Intentional Firearm Microstamping offers such opportunities when implemented into firearms. Outfitted within firearms purchased and distributed to the host nation's security forces (civilian and military), Intentional Firearm Microstamping (IFM) marks bullet cartridge casings with codes as they are fired from the firearm. IFM is incorporated onto optimum surfaces with the firearm mechanism. The intentional microstamp tooling marks can take the form of alphanumeric codes or encoded geometric codes that identify the firearm. As the firearm is discharged the intentional tooling marks transfer a code to the cartridge casing which is ejected out of the firearm. When recovered at the scene of a firefight or engagement, the technology will provide forensic intelligence allowing the mapping and tracking of small arms traffic patterns within the host nation or identify insurgency force strength and pinpoint firearm sources, such as corrupt/rogue military units or police force. Intentional Firearm Microstamping is a passive mechanical trace technology that can be outfitted or retrofitted to semiautomatic handguns and

The GIS and data solution for advanced business analysis

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Carmen RADUT

2009-12-01

Full Text Available The GIS Business Analyst is a suite of Geographic Information System (GIS-enabled tools, wizards, and data that provides business professionals with a complete solution for site evaluation, selective customer profiling, and trade area market analysis. Running simple reports, mapping the results, and performing complex probability models are among the capabilities The GIS Business Analyst offers in one affordable desktop analysis solution. Data and analyses produced by The GIS Business Analyst can be shared across departments, reducing redundant research and marketing efforts, speeding analysis of results, and increasing employee efficiency. The GIS Business Analyst is the first suite of tools for unlocking the intelligence of geography, demographic, consumer lifestyle, and business data. It is a valuable asset for business decision making such as analyzing market share and competition, determining new site expansions or reductions, and targeting new customers. The ability to analyze and visualize the geographic component of business data reveals trends, patterns, and opportunities hidden in tabular data. By combining information, such as sales data of the organization, customer information, and competitor locations, with geographic data, such as demographics, territories, or store locations, the GIS Business Analyst helps the user better understand organization market, organization customers, and organization competition. The business intelligence systems bring geographic information systems, marketing analysis tools, and demographic data products together to offer the user powerful ways to compete in today's business strategies.

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.

Splunk operational intelligence cookbook

CERN Document Server

Diakun, Josh; Mock, Derek

2014-01-01

This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of a business - IT, Security, Product, Marketing, and many more!

Um estudo de caso envolvendo Business Intelligence como instrumento de apoio à controladoria A case study of Business Intelligence as instrument to support controllership

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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

Factors Driving Business Intelligence Culture

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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.

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.

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

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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.

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...

ECONOMIC INTELLIGENCE - THEORETICAL AND PRACTICAL ASPECTS

Directory of Open Access Journals (Sweden)

VIRGIL - ION POPOVICI

2014-12-01

Full Text Available Economic Intelligence (EI may be a solution in knowledge management as involves collecting, evaluating, processing, analysis and dissemination of economic data within organizations. The ultimate goal of economic intelligence (EI is to take advantage of this opportunity to develop and improve methods for identifying relevant information sources, analysis of information collected and manipulation, to give the user all the necessary decisions. Scope of the Economic Intelligence focused on information available outside the organization, covering wide areas from technology to market or legal issues. Economic Intelligence (EI is closely related to other approaches to information management, and knowledge management and business intelligence, excelling in the use of software tools.

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...

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...

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...

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…

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.

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.

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.

Creating value: unifying silos into public health business intelligence.

Science.gov (United States)

Davidson, Arthur J

2014-01-01

Through September 2014, federal investments in health information technology have been unprecedented, with more than 25 billion dollars in incentive funds distributed to eligible hospitals and providers. Over 85 percent of eligible United States hospitals and 60 percent of eligible providers have used certified electronic health record (EHR) technology and received Meaningful Use incentive funds (HITECH Act1). Certified EHR technology could create new public health (PH) value through novel and rapidly evolving data-use opportunities, never before experienced by PH. The long-standing "silo" approach to funding has fragmented PH programs and departments,2 but the components for integrated business intelligence (i.e., tools and applications to help users make informed decisions) and maximally reuse data are available now. Challenges faced by PH agencies on the road to integration are plentiful, but an emphasis on PH systems and services research (PHSSR) may identify gaps and solutions for the PH community to address. Technology and system approaches to leverage this information explosion to support a transformed health care system and population health are proposed. By optimizing this information opportunity, PH can play a greater role in the learning health system.

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.

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...

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

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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.

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)...

Features and behavioral principles in the business context

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Teaching Assistant

2010-12-01

Full Text Available In the contemporary market economy constant improvement of business environment is an important element in achieving business. Digital economy affects business growth, innovation and technological progress became also important instruments in the activity of any organization.Organizations are trying to find and develop intelligent tools and strategies for the new business models. Managers’ major concern is to find intelligent solutions for the business management. In our days being an entrepreneur it is a difficult choice. The entrepreneur must deal with difficult and risky situations which can affect his/her activities. The purpose of this paper is to present those elements which can less or more affect the existing business environment. Today is important how an entrepreneur acts on the potential market. Performance obtained by him/her depends on his ability to apply strategies and to use advanced information systems

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…

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…

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

Implement Fuzzy Logic to Optimize Electronic Business Success

OpenAIRE

Fahim Akhter

2016-01-01

Customers are realizing the importance and benefits of shopping online such as convenience, comparison, product research, larger selection, and lower prices. The dynamic nature of e-commerce evokes online businesses to make alterations in their business processes and decisions making to satisfy customers’ needs. Online businesses are adopting Business Intelligence (BI) tools and systems with the collaboration of fuzzy logic system to forecast the future of the e-commerce. With the aid of BI, ...

LinkedIn as a Learning Tool in Business Education

Science.gov (United States)

Cooper, Brett; Naatus, Mary Kate

2014-01-01

This article summarizes the existing research on social media as a learning tool in higher education and adds to the literature on incorporating social media tools into collegiate business education by suggesting specific course content areas of business where LinkedIn exercises and training can be incorporated. LinkedIn as a classroom tool cannot…

Tool path strategy and cutting process monitoring in intelligent machining

Science.gov (United States)

Chen, Ming; Wang, Chengdong; An, Qinglong; Ming, Weiwei

2018-06-01

Intelligent machining is a current focus in advanced manufacturing technology, and is characterized by high accuracy and efficiency. A central technology of intelligent machining—the cutting process online monitoring and optimization—is urgently needed for mass production. In this research, the cutting process online monitoring and optimization in jet engine impeller machining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligent machining. Results show that intelligent tool path optimization and cutting process online monitoring are efficient techniques for improving the efficiency, quality, and reliability of machining.

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

A Web-Based Authoring Tool for Algebra-Related Intelligent Tutoring Systems

Directory of Open Access Journals (Sweden)

Maria Virvou

2000-01-01

Full Text Available This paper describes the development of a web-based authoring tool for Intelligent Tutoring Systems. The tool aims to be useful to teachers and students of domains that make use of algebraic equations. The initial input to the tool is a "description" of a specific domain given by a human teacher. In return the tool provides assistance at the construction of exercises by the human teacher and then monitors the students while they are solving the exercises and provides appropriate feedback. The tool incorporates intelligence in its diagnostic component, which performs error diagnosis to students’ errors. It also handles the teaching material in a flexible and individualised way.

Intelligent tools for building a scientific information platform from research to implementation

CERN Document Server

Skonieczny, Łukasz; Rybiński, Henryk; Kryszkiewicz, Marzena; Niezgódka, Marek

2014-01-01

This book is a selection of results obtained within three years of research performed under SYNAT—a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The book is intended to be the last of the series related to the SYNAT project. The previous books, titled “Intelligent Tools for Building a Scientific Information Platform” and “Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions”, were published as volumes 390 and 467 in Springer's Studies in Computational Intelligence. Its contents is based on the SYNAT 2013 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering, addressing the problems of implementing intelligent tools for building...

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.

Evaluasi Tata Kelola Sistem Informasi Business Intelligence pada Perusahaan Minuman Ringan

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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

Uma proposta de aplicação de business intelligence no chão-de-fábrica A proposal for applying business intelligence on the shop floor

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Marcos Roberto Fortulan

2005-04-01

Full Text Available A evolução do chão-de-fábrica tem sido significativa nas últimas décadas, quando grandes investimentos têm sido realizados em infra-estrutura, automação, treinamento e sistemas de informação, transformando-o numa área estratégica para as empresas. O chão-de-fábrica gera hoje grande quantidade de dados que, por estarem dispersos ou desorganizados, não são utilizados em todo o seu potencial como fonte de informação. Com vistas nessa deficiência, este trabalho propõe a implantação de um sistema de Business Intelligence por meio do uso de ferramentas de Data Warehouse e OLAP (On-Line Analytical Processing, aplicadas especificamente ao chão-de-fábrica. O objetivo é desenvolver um sistema que utilize os dados resultantes do processo produtivo e os transforme em informações que auxiliem o gerente na tomada de decisões, de forma a garantir a competitividade da empresa. Um protótipo foi construído com dados simulados para testar a proposta.Significant advances have been made on the shop floor in recent decades, involving substantial investments in infrastructure, automation, training and information systems which have transformed the shop floor into a strategic area for companies. Today, the shop floor generates large quantities of data; however, because they are dispersed or disorganized, these data are not used to the best possible advantage as a source of valuable information. In view of this deficiency, this paper proposes the implementation of a Business Intelligence system, using Data Warehouse and OLAP tools specifically applied to the shop floor. Our objective is to develop a system that uses production data, transforming them into information to aid managers in decision-making, thereby enhancing the company’s competitiveness. A prototype of the system was built with simulated data to test the viability of this proposal.

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.

Business intelligence for the radiologist: making your data work for you.

Science.gov (United States)

Cook, Tessa S; Nagy, Paul

2014-12-01

Although it remains absent from most programs today, business intelligence (BI) has become an integral part of modern radiology practice management. BI facilitates the transition away from lack of understanding about a system and the data it produces toward incrementally more sophisticated comprehension of what has happened, could happen, and should happen. The individual components that make up BI are common across industries and include data extraction and transformation, process analysis and improvement, outcomes measures, performance assessment, graphical dashboarding, alerting, workflow analysis, and scenario modeling. As in other fields, these components can be directly applied in radiology to improve workflow, throughput, safety, efficacy, outcomes, and patient satisfaction. When approaching the subject of BI in radiology, it is important to know what data are available in your various electronic medical records, as well as where and how they are stored. In addition, it is critical to verify that the data actually represent what you think they do. Finally, it is critical for success to identify the features and limitations of the BI tools you choose to use and to plan your practice modifications on the basis of collected data. It is equally important to remember that BI plays a critical role in continuous process improvement; whichever BI tools you choose should be flexible to grow and evolve with your practice. Published by Elsevier Inc.

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...

CRISP. Requirements Specifications of Intelligent ICT Simulation Tools for Power Applications

Energy Technology Data Exchange (ETDEWEB)

Warmer, C.J.; Kester, J.C.P.; Kamphuis, I.G. [ECN Energy in the Built Environment and Networks, Petten (Netherlands); Carlsson, P [EnerSearch, Malmoe (Sweden); Fontela, M. [Laboratory of Electrical Engineering LEG, Grenoble (France); Gustavsson, R. [Blekinge Institute of Technology BTH, Karlskrona (Sweden)

2003-10-15

This report, deliverable D2.1 in the CRISP project, serves as a preparation report for the development of simulation tools and prototype software which will be developed in forthcoming stages of the CRISP project. Application areas for these simulations are: fault detection and diagnosis, supply and demand matching and intelligent load shedding. The context in which these applications function is the power network with a high degree of distributed generation, including renewables. In order to control a so called distributed grid we can benefit from a high level of distributed control and intelligence. This requires, on top of the power system network, an information and communication network.. We argue that such a network should be seen as an enabler of distributed control and intelligence. The applications, through which control and intelligence is implemented, then form a third network layer, the service oriented network. Building upon this three-layered network model we derive in this report the requirements for a simulation tool and experiments which study new techniques for fault detection and diagnostics and for simulation tools and experiments implementing intelligent load shedding and supply and demand matching scenarios. We also look at future implementation of these services within the three-layered network model and the requirements that follow for the core information and communication network and for the service oriented network. These requirements, supported by the studies performed in the CRISP Workpackage 1, serve as a basis for development of the simulation tools in the tasks 2.2 to 2.4.

CRISP. Requirements Specifications of Intelligent ICT Simulation Tools for Power Applications

International Nuclear Information System (INIS)

Warmer, C.J.; Kester, J.C.P.; Kamphuis, I.G.; Carlsson, P; Fontela, M.; Gustavsson, R.

2003-10-01

This report, deliverable D2.1 in the CRISP project, serves as a preparation report for the development of simulation tools and prototype software which will be developed in forthcoming stages of the CRISP project. Application areas for these simulations are: fault detection and diagnosis, supply and demand matching and intelligent load shedding. The context in which these applications function is the power network with a high degree of distributed generation, including renewables. In order to control a so called distributed grid we can benefit from a high level of distributed control and intelligence. This requires, on top of the power system network, an information and communication network.. We argue that such a network should be seen as an enabler of distributed control and intelligence. The applications, through which control and intelligence is implemented, then form a third network layer, the service oriented network. Building upon this three-layered network model we derive in this report the requirements for a simulation tool and experiments which study new techniques for fault detection and diagnostics and for simulation tools and experiments implementing intelligent load shedding and supply and demand matching scenarios. We also look at future implementation of these services within the three-layered network model and the requirements that follow for the core information and communication network and for the service oriented network. These requirements, supported by the studies performed in the CRISP Workpackage 1, serve as a basis for development of the simulation tools in the tasks 2.2 to 2.4

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.

Using generic tool kits to build intelligent systems

Science.gov (United States)

Miller, David J.

1994-01-01

The Intelligent Systems and Robots Center at Sandia National Laboratories is developing technologies for the automation of processes associated with environmental remediation and information-driven manufacturing. These technologies, which focus on automated planning and programming and sensor-based and model-based control, are used to build intelligent systems which are able to generate plans of action, program the necessary devices, and use sensors to react to changes in the environment. By automating tasks through the use of programmable devices tied to computer models which are augmented by sensing, requirements for faster, safer, and cheaper systems are being satisfied. However, because of the need for rapid cost-effect prototyping and multi-laboratory teaming, it is also necessary to define a consistent approach to the construction of controllers for such systems. As a result, the Generic Intelligent System Controller (GISC) concept has been developed. This concept promotes the philosophy of producing generic tool kits which can be used and reused to build intelligent control systems.

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…

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.

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.

Cost Analysis of Spatial Data Production as Part of Business Intelligence Within the Mapping Department

Science.gov (United States)

Kisa, A.; Erkek, B.; Çolak, S.

2012-07-01

Business intelligence is becoming an important strategic tool for business management. Companies have invested significant resources in applications for customer relationship management (CRM), supply chain management (SCM), enterprise resource planning (ERP), e-commerce, among others, which collect vast amounts of data. Today, these same companies are realizing that no matter how robust their application feature sets are, without an equally robust BI mechanism to make use of the collected data, these applications are ultimately coming up short. They do not provide actionable information to end users nor can they give a global understanding among all the organization's information from the various databases for accounting, CRM, and so on. General Directorate of Land Registry and Cadastre (GDLRC) is the leader organizations in Turkey on the field of mapping-land registry-cadastre. GDLRC has executed spatial based projects on the way National Spatial Data Infrastructure especially from the beginnings of 2000s. such as; Continuously Operating GPS Reference Stations (TUSAGA-Aktif), Geo-Metadata Portal (HBB), Orthophoto-Base Map Production and web services, Completion of Initial Cadastre, Cadastral Renovation Project (TKMP), Land Registry and Cadastre Information System (TAKBIS), Turkish National Spatial Data Infrastructure Project (TNSDI), Ottoman Land Registry Archive Information System (TARBIS). Most of this project has been completed. Some software has been developed within the mentioned project, especially reporting for management level to take decision. In the year of 2010 a new law launched and forced to reorganization of General Directorate of Land Registry and Cadastre. The new structural changes effected to whole organization, management understanding, carrier understanding so on. Even in mapping department which is spatial data producer, now there is no technician, there is no section; there are new carrier as experts. Because of that, all procedures and

AUTOMATION OF REMEDY TICKETS CATEGORIZATION USING BUSINESS INTELLIGENCE TOOLS

OpenAIRE

DR. M RAJASEKHARA BABU; ANKITA TIWARI

2012-01-01

The work log of an issue is often the primary source of information for predicting the cause. Mining patterns from work log is an important issue management task. This paper aims at developing an application which categorizes the issues into problem areas using a clustering algorithm. This algorithm helps one to cluster the issues by mining patterns from the work log files. Standard reports can be generated for the root cause analysis. The whole process is automated using Business Intelligenc...

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.

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.

Intelligent Tools for Building a Scientific Information Platform

CERN Document Server

Skonieczny, Lukasz; Rybiński, Henryk; Niezgodka, Marek

2012-01-01

This book is a selection of results obtained within one year of research performed under SYNAT - a nation-wide scientific project aiming to create an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language processing, addressing the problems of implementing intelligent tools for building a scientific information platform. The idea of this book is based on the very successful SYNAT Project Conference and the SYNAT Workshop accompanying the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS 2011). The papers included in this book present an overview and insight into such topics as architecture of scientific information platforms, semantic clustering, ontology-based systems, as well as, multimedia data processing.

Towards the Development of Web-based Business intelligence Tools

DEFF Research Database (Denmark)

Georgiev, Lachezar; Tanev, Stoyan

2011-01-01

This paper focuses on using web search techniques in examining the co-creation strategies of technology driven firms. It does not focus on the co-creation results but describes the implementation of a software tool using data mining techniques to analyze the content on firms’ websites. The tool...

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....

Profiling nonhuman intelligence: An exercise in developing unbiased tools for describing other "types" of intelligence on earth

Science.gov (United States)

Herzing, Denise L.

2014-02-01

Intelligence has historically been studied by comparing nonhuman cognitive and language abilities with human abilities. Primate-like species, which show human-like anatomy and share evolutionary lineage, have been the most studied. However, when comparing animals of non-primate origins our abilities to profile the potential for intelligence remains inadequate. Historically our measures for nonhuman intelligence have included a variety of tools: (1) physical measurements - brain to body ratio, brain structure/convolution/neural density, presence of artifacts and physical tools, (2) observational and sensory measurements - sensory signals, complexity of signals, cross-modal abilities, social complexity, (3) data mining - information theory, signal/noise, pattern recognition, (4) experimentation - memory, cognition, language comprehension/use, theory of mind, (5) direct interfaces - one way and two way interfaces with primates, dolphins, birds and (6) accidental interactions - human/animal symbiosis, cross-species enculturation. Because humans tend to focus on "human-like" attributes and measures and scientists are often unwilling to consider other "types" of intelligence that may not be human equated, our abilities to profile "types" of intelligence that differ on a variety of scales is weak. Just as biologists stretch their definitions of life to look at extremophiles in unusual conditions, so must we stretch our descriptions of types of minds and begin profiling, rather than equating, other life forms we may encounter.

Some Notes About Artificial Intelligence as New Mathematical Tool

Directory of Open Access Journals (Sweden)

Angel Garrido

2010-04-01

Full Text Available Mathematics is a mere instance of First-Order Predicate Calculus. Therefore it belongs to applied Monotonic Logic. So, we found the limitations of classical logic reasoning and the clear advantages of Fuzzy Logic and many other new interesting tools. We present here some of the more usefulness tools of this new field of Mathematics so-called Artificial Intelligence.

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

The PRoM framework : a new era in process mining tool support

NARCIS (Netherlands)

Dongen, van B.F.; Alves De Medeiros, A.K.; Verbeek, H.M.W.; Weijters, A.J.M.M.; Aalst, van der W.M.P.; Ciardo, G.; Darondeau, P.

2005-01-01

Under the umbrella of buzzwords such as Business Activity Monitoring (BAM) and Business Process Intelligence (BPI) both academic (e.g., EMiT, Little Thumb, InWoLvE, Process Miner, and MinSoN) and commercial tools (e.g., ARIS PPM, HP BPI, and ILOG JViews) have been developed. The goal of these tools

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.

IT-tool Concept for Design and Intelligent Motion Control

DEFF Research Database (Denmark)

Conrad, Finn; Hansen, Poul Erik; Sørensen, Torben

2000-01-01

The paper presents results obtained from a Danish mechatronic research program focusing on intelligent motion control as well as results from the Esprit project SWING on IT-tools for rapid prototyping of fluid power components and systems. A mechatronic test facility with digital controllers for ....... Furthermore, a developed IT-tool concept for controller and system design utilising the ISO 10303 STEP Standard is proposed....

[Intelligent systems tools in the diagnosis of acute coronary syndromes: A systemic review].

Science.gov (United States)

Sprockel, John; Tejeda, Miguel; Yate, José; Diaztagle, Juan; González, Enrique

2017-03-27

Acute myocardial infarction is the leading cause of non-communicable deaths worldwide. Its diagnosis is a highly complex task, for which modelling through automated methods has been attempted. A systematic review of the literature was performed on diagnostic tests that applied intelligent systems tools in the diagnosis of acute coronary syndromes. A systematic review of the literature is presented using Medline, Embase, Scopus, IEEE/IET Electronic Library, ISI Web of Science, Latindex and LILACS databases for articles that include the diagnostic evaluation of acute coronary syndromes using intelligent systems. The review process was conducted independently by 2 reviewers, and discrepancies were resolved through the participation of a third person. The operational characteristics of the studied tools were extracted. A total of 35 references met the inclusion criteria. In 22 (62.8%) cases, neural networks were used. In five studies, the performances of several intelligent systems tools were compared. Thirteen studies sought to perform diagnoses of all acute coronary syndromes, and in 22, only infarctions were studied. In 21 cases, clinical and electrocardiographic aspects were used as input data, and in 10, only electrocardiographic data were used. Most intelligent systems use the clinical context as a reference standard. High rates of diagnostic accuracy were found with better performance using neural networks and support vector machines, compared with statistical tools of pattern recognition and decision trees. Extensive evidence was found that shows that using intelligent systems tools achieves a greater degree of accuracy than some clinical algorithms or scales and, thus, should be considered appropriate tools for supporting diagnostic decisions of acute coronary syndromes. Copyright © 2017 Instituto Nacional de Cardiología Ignacio Chávez. Publicado por Masson Doyma México S.A. All rights reserved.

Selected Topics on Perspectives in Business Informatics Research: Editorial Introduction to the Issue 14 of CSIMQ

Directory of Open Access Journals (Sweden)

Björn Johansson

2018-04-01

Full Text Available Globalization, abundant networking possibilities, and advances in artificial intelligence are creating a new business environment where cooperation and competition requires from enterprises high agility and ability to intelligently acquire, analyze, and apply their internal and external data. In this regard, several information system concepts must be reconsidered to adopt various opportunities offered by the new environment. The fourteenth issue of the journal “Complex Systems Informatics and Modeling Quarterly” (CSIMQ offers a selection of papers addressing research perspectives that concern digital trade infrastructures, business process agility, and the quality of business intelligence tools. The initial versions of these papers were presented and discussed at the 16th International Conference on Perspectives in Business Informatics Research and its associated events on August 28–30, 2017 in Copenhagen, Denmark.

Using the Web for Competitive Intelligence (CI) Gathering

Science.gov (United States)

Rocker, JoAnne; Roncaglia, George

2002-01-01

Businesses use the Internet as a way to communicate company information as a way of engaging their customers. As the use of the Web for business transactions and advertising grows, so too, does the amount of useful information for practitioners of competitive intelligence (CI). CI is the legal and ethical practice of information gathering about competitors and the marketplace. Information sources like company webpages, online newspapers and news organizations, electronic journal articles and reports, and Internet search engines allow CI practitioners analyze company strengths and weaknesses for their customers. More company and marketplace information than ever is available on the Internet and a lot of it is free. Companies should view the Web not only as a business tool but also as a source of competitive intelligence. In a highly competitive marketplace can any organization afford to ignore information about the other players and customers in that same marketplace?

Laser formed intentional firearm microstamping technology: counterinsurgency intelligence gathering tool

Science.gov (United States)

Lizotte, Todd E.; Ohar, Orest P.

2009-09-01

Warfare relies on effective, accurate and timely intelligence an especially critical task when conducting a counterinsurgency operation [1]. Simply stated counterinsurgency is an intelligence war. Both insurgents and counterinsurgents need effective intelligence capabilities to be successful. Insurgents and counterinsurgents therefore attempt to create and maintain intelligence networks and fight continuously to neutralize each other's intelligence capabilities [1][2]. In such an environment it is obviously an advantage to target or proactively create opportunities to track and map an insurgent movement. Quickly identifying insurgency intelligence assets (Infiltrators) within a host government's infrastructure is the goal. Infiltrators can occupy various areas of government such as security personnel, national police force, government offices or military units. Intentional Firearm Microstamping offers such opportunities when implemented into firearms. Outfitted within firearms purchased and distributed to the host nation's security forces (civilian and military), Intentional Firearm Microstamping (IFM) marks bullet cartridge casings with codes as they are fired from the firearm. IFM is incorporated onto optimum surfaces with the firearm mechanism. The intentional microstamp tooling marks can take the form of alphanumeric codes or encoded geometric codes that identify the firearm. As the firearm is discharged the intentional tooling marks transfer a code to the cartridge casing which is ejected out of the firearm. When recovered at the scene of a firefight or engagement, the technology will provide forensic intelligence allowing the mapping and tracking of small arms traffic patterns within the host nation or identify insurgency force strength and pinpoint firearm sources, such as corrupt/rogue military units or police force. Intentional Firearm Microstamping is a passive mechanical trace technology that can be outfitted or retrofitted to semiautomatic handguns and

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

Artificial intelligence tools decision support systems in condition monitoring and diagnosis

CERN Document Server

Galar Pascual, Diego

2015-01-01

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource: Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques Considers the merits of each technique as well as the issues associated with real-life application Covers classification methods, from neural networks to Bayesian and support vector machines Proposes fuzzy logic to explain the uncertainties associated with diagnostic processes Provides data sets, sample signals, and MATLAB® code for algorithm testing Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis delivers a thorough evaluation of the latest AI tools for CM, describing the most common fault diagnosis techniques used and the data acquired when these techniques are applied.

Information as a Strategic Tool to Improve Industrial Competitiveness.

Science.gov (United States)

Kalseth, Karl; And Others

1989-01-01

Eight papers from the FID/II Pre-Conference Seminar (Espoo, Finland, August 24-25, 1988) discuss issues related to the use of information as a tool in the context of business information services, strategic information management, business intelligence systems, information resources management, and the role of information and documentation in…

The ethical intelligence: a tool guidance in the process of the negotiation

Directory of Open Access Journals (Sweden)

Cristina Seijo

2014-08-01

Full Text Available The present article is the result of a research, which has as object present a theoretical contrast that invites to the reflection on the ethical intelligence as a tool guidance in the negotiation. In the same one there are approached the different types of ethical intelligence; spatial intelligence, rational intelligence, emotional intelligence among others, equally one refers associative intelligence to the processes of negotiation and to the tactics of negotiation. In this respect, it is possible to deal to the ethical intelligence as the aptitude to examine the moral standards of the individual and of the society to decide between what this one correct or incorrect and to be able like that to solve the different problematic ones for which an individual or a society cross. For this reason, one invites to start mechanisms of transparency and participation by virtue of which the ethical intelligence is born in mind as the threshold that orientates this process of negotiation. 

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

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.

Competitive intelligence awareness in the South African property sector

Directory of Open Access Journals (Sweden)

Tshilidzi Eric Nenzhelele

2015-11-01

Full Text Available The South African property sector contributes highly to job creation, alleviation of poverty and economic growth. Although South Africa has dropped in the global competitiveness ranking, the property sector of South Africa remains very competitive. To survive in a competitive business environment firms seek for tools that offer competitive advantage. It is widely reported the competitive intelligence provide firms with competitive advantage over rivals. Although the awareness of competitive intelligence has been examined in other sectors in South Africa, no study on the awareness of competitive intelligence has yet been conducted in the property sector. This study aims at establishing the extent to which property practitioners are aware of competitive intelligence

Plunkett's E-Commerce & Internet Business Almanac 2012 E-Commerce & Internet Business Industry Market Research, Statistics, Trends & Leading Companies

CERN Document Server

Plunkett, Jack W

2012-01-01

Market research guide to the e-commerce and Internet business-a tool for strategic planning, competitive intelligence, employment searches or financial research. Contains trends analysis, globalization, trade, statistical tables and an industry glossary. Includes our profiles of nearly 450 top e-commerce and internet industry firms, featuring addresses, phone numbers and executive names.

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...

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.

How useful are the strategic tools we teach in business schools?

NARCIS (Netherlands)

Wright, R.; Paroutis, S.; Blettner, D.P.

2013-01-01

Strategic tools are indispensible for business and competitive analysis. Yet we know very little about managers' internal logic as they put these tools into practical use. We situate our study in a business school context using action learning prior to the manifestation of practice to complement our

Evaluation of the use of a Business Intelligence system for management of patient radiation dose undergone to nuclear medicine exams; Avaliação do uso de um sistema de Business Intelligence para gerenciamento da dose de pacientes submetidos a exames de medicina nuclear

Energy Technology Data Exchange (ETDEWEB)

Fischer, A.C.F.S.; Capaverde, A.S.; Moreira, M.N.; Moraes, A.L.; Andrade, J.R.M.; Bacelar, A., E-mail: acfischer@hcpa.edu.br [Hospital de Clínicas de Porto Alegre (HCPA), RS (Brazil). Serviço de Física Médica e Radioproteção

2017-07-01

The feasibility of using a Business Intelligence (BI) system, IMPAX BI (Agfa), to manage the effective radiation dose of patients undergoing Nuclear Medicine exams was evaluated. The evaluation was divided into four stages, using retrospective data from the activity administered to adult patients in the year 2016. It was possible with the system to create panels to filter the data by date and display them in table and / or graphs, indicating the estimated doses and established limits. The IMPAX BI system proved to be a tool capable of assisting in dose management in Nuclear Medicine since it facilitates the identification of cases in which the patient is submitted to doses higher than those defined in the protocols of exams.

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.

Artificial Intelligence Based Selection of Optimal Cutting Tool and Process Parameters for Effective Turning and Milling Operations

Science.gov (United States)

Saranya, Kunaparaju; John Rozario Jegaraj, J.; Ramesh Kumar, Katta; Venkateshwara Rao, Ghanta

2016-06-01

With the increased trend in automation of modern manufacturing industry, the human intervention in routine, repetitive and data specific activities of manufacturing is greatly reduced. In this paper, an attempt has been made to reduce the human intervention in selection of optimal cutting tool and process parameters for metal cutting applications, using Artificial Intelligence techniques. Generally, the selection of appropriate cutting tool and parameters in metal cutting is carried out by experienced technician/cutting tool expert based on his knowledge base or extensive search from huge cutting tool database. The present proposed approach replaces the existing practice of physical search for tools from the databooks/tool catalogues with intelligent knowledge-based selection system. This system employs artificial intelligence based techniques such as artificial neural networks, fuzzy logic and genetic algorithm for decision making and optimization. This intelligence based optimal tool selection strategy is developed using Mathworks Matlab Version 7.11.0 and implemented. The cutting tool database was obtained from the tool catalogues of different tool manufacturers. This paper discusses in detail, the methodology and strategies employed for selection of appropriate cutting tool and optimization of process parameters based on multi-objective optimization criteria considering material removal rate, tool life and tool cost.

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…

Improving designer productivity. [artificial intelligence

Science.gov (United States)

Hill, Gary C.

1992-01-01

Designer and design team productivity improves with skill, experience, and the tools available. The design process involves numerous trials and errors, analyses, refinements, and addition of details. Computerized tools have greatly speeded the analysis, and now new theories and methods, emerging under the label Artificial Intelligence (AI), are being used to automate skill and experience. These tools improve designer productivity by capturing experience, emulating recognized skillful designers, and making the essence of complex programs easier to grasp. This paper outlines the aircraft design process in today's technology and business climate, presenting some of the challenges ahead and some of the promising AI methods for meeting these challenges.

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.

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.

Evaluation of the use of a Business Intelligence system for management of patient radiation dose undergone to nuclear medicine exams

International Nuclear Information System (INIS)

Fischer, A.C.F.S.; Capaverde, A.S.; Moreira, M.N.; Moraes, A.L.; Andrade, J.R.M.; Bacelar, A.

2017-01-01

The feasibility of using a Business Intelligence (BI) system, IMPAX BI (Agfa), to manage the effective radiation dose of patients undergoing Nuclear Medicine exams was evaluated. The evaluation was divided into four stages, using retrospective data from the activity administered to adult patients in the year 2016. It was possible with the system to create panels to filter the data by date and display them in table and / or graphs, indicating the estimated doses and established limits. The IMPAX BI system proved to be a tool capable of assisting in dose management in Nuclear Medicine since it facilitates the identification of cases in which the patient is submitted to doses higher than those defined in the protocols of exams

Methodology Investigation of AI(Artificial Intelligence) Test Officer Support Tool. Volume 1

Science.gov (United States)

1989-03-01

American Association for Artificial inteligence A! ............. Artificial inteliigence AMC ............ Unt:ed States Army Maeriel Comand ASL...block number) FIELD GROUP SUB-GROUP Artificial Intelligence, Expert Systems Automated Aids to Testing 9. ABSTRACT (Continue on reverse if necessary and...identify by block number) This report covers the application of Artificial Intelligence-Techniques to the problem of creating automated tools to

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,…

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…

Stimulating Creativity and Innovation through Intelligent Fast Failure

Science.gov (United States)

Tahirsylaj, Armend S.

2012-01-01

Literature on creativity and innovation has discussed the issue of failure in the light of its benefits and limitations for enhancing human potential in all domains of life, but in business, science, engineering, and industry more specifically. In this paper, the Intelligent Fast Failure (IFF) as a useful tool of creativity and innovation for…

User involvement and supporting tools in business-to-business service innovations: Insights from Facility Management services

DEFF Research Database (Denmark)

Nardelli, Giulia

is the generalizability of the findings to other business-to-business service sectors. More research conducted both in FM services and other service sectors would help to shed light on the generalizability of these findings. Originality/value – The study contributes with new and detailed insights into the complexity......Purpose – This article investigates and conceptualizes user involvement in business-to-business service innovations as well as the tools that are used to support interactions in such a service innovation process. Design/methodology/approach – The paper uses a qualitative research approach to answer...... the research question. By following Miles and Huberman (1984)’s this study started with a literature review of studies investigating service innovation, service innovations models, user roles and tools in service innovation in general, to conduct an empirical investigation in facility management (FM) services...

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...

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.

Intelligent tools for building a scientific information platform advanced architectures and solutions

CERN Document Server

Skonieczny, Lukasz; Rybinski, Henryk; Kryszkiewicz, Marzena; Niezgodka, Marek

2013-01-01

This book is a selection of results obtained within two years of research per- formed under SYNAT - a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language processing, addressing the problems of implementing intelligent tools for building a scientific information platform.This book is a continuation and extension of the ideas presented in “Intelligent Tools for Building a Scientific Information Platform” published as volume 390 in the same series in 2012. It is based on the SYNAT 2012 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering.  

PRIORITIZED ACTIONS FOR MARKETING IMPROVEMENT: A TOOL FOR SMALL BUSINESS MARKETING PROGRAMMES

OpenAIRE

Nikola Rovis

2010-01-01

Purpose of this paper is to offer a pragmatic tool for management and marketing practitioners in small businesses. The name of the tool is Prioritized Action for Marketing Improvements (PAMI). This work gives an overview of marketing and strategy processes in small businesses and a brief description of Dibb and Simkin buying proforma tool. The PAMI tool builds on successfully conducted market segmentation and specification or implicit knowledge on targeted market segments and market positioni...

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.

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.

Business games : Promising, knowledge oriented tool for education

OpenAIRE

Rossman, Tomáš

2012-01-01

Diploma thesis is focused on Business games, as an effective tool for knowledge obtaining. In theoretical part, it defines terms like : knowledge, team, system, simulation and computer modeling and their connection with business games. In practical part, it presents four well chosen games and tries to clarify how these games work and how logic are their outputs. After that, it discuss potential use of this game at Faculty of management, University of economics, Prague.

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).

76 FR 5832 - International Business Machines (IBM), Software Group Business Unit, Optim Data Studio Tools QA...

Science.gov (United States)

2011-02-02

... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-74,554] International Business Machines (IBM), Software Group Business Unit, Optim Data Studio Tools QA, San Jose, CA; Notice of Affirmative Determination Regarding Application for Reconsideration By application dated November 29, 2010, a worker and a state workforce official...

An Intelligent Framework for Website Usability

Directory of Open Access Journals (Sweden)

Alexiei Dingli

2014-01-01

Full Text Available With the major advances of the Internet throughout the past couple of years, websites have come to play a central role in the modern marketing business program. However, simply owning a website is not enough for a business to prosper on the Web. Indeed, it is the level of usability of a website that determines if a user stays or abandons it for another competing one. It is therefore crucial to understand the importance of usability on the web, and consequently the need for its evaluation. Nonetheless, there exist a number of obstacles preventing software organizations from successfully applying sound website usability evaluation strategies in practice. From this point of view automation of the latter is extremely beneficial, which not only assists designers in creating more usable websites, but also enhances the Internet users’ experience on the Web and increases their level of satisfaction. As a means of addressing this problem, an Intelligent Usability Evaluation (IUE tool is proposed that automates the usability evaluation process by employing a Heuristic Evaluation technique in an intelligent manner through the adoption of several research-based AI methods. Experimental results show there exists a high correlation between the tool and human annotators when identifying the considered usability violations.

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.

Development and evaluation of intelligent machine tools based on knowledge evolution in M2M environment

International Nuclear Information System (INIS)

Kim, Dong Hoon; Song, Jun Yeob; Lee, Jong Hyun; Cha, Suk Keun

2009-01-01

In the near future, the foreseen improvement in machine tools will be in the form of a knowledge evolution-based intelligent device. The goal of this study is to develop intelligent machine tools having knowledge-evolution capability in Machine to Machine (M2M) wired and wireless environment. The knowledge evolution-based intelligent machine tools are expected to be capable of gathering knowledge autonomously, producing knowledge, understanding knowledge, applying reasoning to knowledge, making new decisions, dialoguing with other machines, etc. The concept of the knowledge-evolution intelligent machine originated from the process of machine control operation by the sense, dialogue and decision of a human expert. The structure of knowledge evolution in M2M and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper, and work-offset compensation from thermal change and recommendation of cutting condition are performed on-line for knowledge-evolution verification

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…

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.

Developing an Intelligent Diagnosis and Assessment E-Learning Tool for Introductory Programming

Science.gov (United States)

Huang, Chenn-Jung; Chen, Chun-Hua; Luo, Yun-Cheng; Chen, Hong-Xin; Chuang, Yi-Ta

2008-01-01

Recently, a lot of open source e-learning platforms have been offered for free in the Internet. We thus incorporate the intelligent diagnosis and assessment tool into an open software e-learning platform developed for programming language courses, wherein the proposed learning diagnosis assessment tools based on text mining and machine learning…

Business Process Management Theory and Applications

CERN Document Server

2013-01-01

Business Process Management (BPM) has been in existence for decades. It  uses, complements, integrates and extends theories, methods and tools from  other scientific disciplines like: strategic management, information technology, managerial accounting, operations management etc. During this period the main focus themes of researchers and professionals in BPM  were: business process modeling, business process analysis, activity based costing, business process simulation, performance measurement, workflow management, the link between information technology and BPM for process automation etc. More recently the focus moved to subjects like Knowledge Management, Enterprise Resource Planning (ERP) Systems, Service Oriented Architectures (SOAs), Process Intelligence (PI) and even  Social Networks. In this collection of papers we present a review of the work and the outcomes achieved in the classic BPM fields as well as a deeper insight on recent advances in BPM. We present a review of business process modeling a...

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.

An intelligent tool for activity data collection.

Science.gov (United States)

Sarkar, A M Jehad

2011-01-01

Activity recognition systems using simple and ubiquitous sensors require a large variety of real-world sensor data for not only evaluating their performance but also training the systems for better functioning. However, a tremendous amount of effort is required to setup an environment for collecting such data. For example, expertise and resources are needed to design and install the sensors, controllers, network components, and middleware just to perform basic data collections. It is therefore desirable to have a data collection method that is inexpensive, flexible, user-friendly, and capable of providing large and diverse activity datasets. In this paper, we propose an intelligent activity data collection tool which has the ability to provide such datasets inexpensively without physically deploying the testbeds. It can be used as an inexpensive and alternative technique to collect human activity data. The tool provides a set of web interfaces to create a web-based activity data collection environment. It also provides a web-based experience sampling tool to take the user's activity input. The tool generates an activity log using its activity knowledge and the user-given inputs. The activity knowledge is mined from the web. We have performed two experiments to validate the tool's performance in producing reliable datasets.

Microsoft Enterprise Consortium: A Resource for Teaching Data Warehouse, Business Intelligence and Database Management Systems

Science.gov (United States)

Kreie, Jennifer; Hashemi, Shohreh

2012-01-01

Data is a vital resource for businesses; therefore, it is important for businesses to manage and use their data effectively. Because of this, businesses value college graduates with an understanding of and hands-on experience working with databases, data warehouses and data analysis theories and tools. Faculty in many business disciplines try to…

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…

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.

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.

CSR as a Tool of Building the Competitiveness of Businesses

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Żychlewicz Maja

2014-06-01

Full Text Available In this article, author analyzes the application of CSR as a tool of building the competitiveness of business. She assumes that corporate social responsibility (CSR could be a useful tool in giving a competitive edge to an enterprise.

Commentary on Current Practices and Future Directions for the Assessment of Child and Adolescent Intelligence in Schools around the World

Science.gov (United States)

Schneider, W. Joel; Kaufman, Alan S.

2016-01-01

As documented in this special issue, all over the world hard choices must be made in education, government, business, and medicine. Intelligence tests, used intelligently and with appropriate ethical safeguards, are one tool of many that help make hard choices work out well, or at least better than the next-best alternative (Kaufman, Raiford,…

Intelligent systems for KSC ground processing

Science.gov (United States)

Heard, Astrid E.

1992-01-01

The ground processing and launch of Shuttle vehicles and their payloads is the primary task of Kennedy Space Center. It is a process which is largely manual and contains little inherent automation. Business is conducted today much as it was during previous NASA programs such as Apollo. In light of new programs and decreasing budgets, NASA must find more cost effective ways in which to do business while retaining the quality and safety of activities. Advanced technologies including artificial intelligence could cut manpower and processing time. This paper is an overview of the research and development in Al technology at KSC with descriptions of the systems which have been implemented, as well as a few under development which are promising additions to ground processing software. Projects discussed cover many facets of ground processing activities, including computer sustaining engineering, subsystem monitor and diagnosis tools and launch team assistants. The deployed Al applications have proven an effectiveness which has helped to demonstrate the benefits of utilizing intelligent software in the ground processing task.

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

THE ROLE OF BUSINESS INTELLIGENCE IN BUSINESS PERFORMANCE MANAGEMENT

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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

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.

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

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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.

An intelligent condition monitoring system for on-line classification of machine tool wear

Energy Technology Data Exchange (ETDEWEB)

Pan, Fu; Hope, A D; Javed, M [Systems Engineering Faculty, Southampton Institute (United Kingdom)

1998-12-31

The development of intelligent tool condition monitoring systems is a necessary requirement for successful automation of manufacturing processes. This presentation introduces a tool wear monitoring system for milling operations. The system utilizes power, force, acoustic emission and vibration sensors to monitor tool condition comprehensively. Features relevant to tool wear are drawn from time and frequency domain signals and a fuzzy pattern recognition technique is applied to combine the multisensor information and provide reliable classification results of tool wear states. (orig.) 10 refs.

An intelligent condition monitoring system for on-line classification of machine tool wear

Energy Technology Data Exchange (ETDEWEB)

Fu Pan; Hope, A.D.; Javed, M. [Systems Engineering Faculty, Southampton Institute (United Kingdom)

1997-12-31

The development of intelligent tool condition monitoring systems is a necessary requirement for successful automation of manufacturing processes. This presentation introduces a tool wear monitoring system for milling operations. The system utilizes power, force, acoustic emission and vibration sensors to monitor tool condition comprehensively. Features relevant to tool wear are drawn from time and frequency domain signals and a fuzzy pattern recognition technique is applied to combine the multisensor information and provide reliable classification results of tool wear states. (orig.) 10 refs.

CATO: a CAD tool for intelligent design of optical networks and interconnects

Science.gov (United States)

Chlamtac, Imrich; Ciesielski, Maciej; Fumagalli, Andrea F.; Ruszczyk, Chester; Wedzinga, Gosse

1997-10-01

Increasing communication speed requirements have created a great interest in very high speed optical and all-optical networks and interconnects. The design of these optical systems is a highly complex task, requiring the simultaneous optimization of various parts of the system, ranging from optical components' characteristics to access protocol techniques. Currently there are no computer aided design (CAD) tools on the market to support the interrelated design of all parts of optical communication systems, thus the designer has to rely on costly and time consuming testbed evaluations. The objective of the CATO (CAD tool for optical networks and interconnects) project is to develop a prototype of an intelligent CAD tool for the specification, design, simulation and optimization of optical communication networks. CATO allows the user to build an abstract, possible incomplete, model of the system, and determine its expected performance. Based on design constraints provided by the user, CATO will automatically complete an optimum design, using mathematical programming techniques, intelligent search methods and artificial intelligence (AI). Initial design and testing of a CATO prototype (CATO-1) has been completed recently. The objective was to prove the feasibility of combining AI techniques, simulation techniques, an optical device library and a graphical user interface into a flexible CAD tool for obtaining optimal communication network designs in terms of system cost and performance. CATO-1 is an experimental tool for designing packet-switching wavelength division multiplexing all-optical communication systems using a LAN/MAN ring topology as the underlying network. The two specific AI algorithms incorporated are simulated annealing and a genetic algorithm. CATO-1 finds the optimal number of transceivers for each network node, using an objective function that includes the cost of the devices and the overall system performance.

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....

Proceedings of the Workshop on software tools for distributed intelligent control systems

Energy Technology Data Exchange (ETDEWEB)

Herget, C.J. (ed.)

1990-09-01

The Workshop on Software Tools for Distributed Intelligent Control Systems was organized by Lawrence Livermore National Laboratory for the United States Army Headquarters Training and Doctrine Command and the Defense Advanced Research Projects Agency. The goals of the workshop were to the identify the current state of the art in tools which support control systems engineering design and implementation, identify research issues associated with writing software tools which would provide a design environment to assist engineers in multidisciplinary control design and implementation, formulate a potential investment strategy to resolve the research issues and develop public domain code which can form the core of more powerful engineering design tools, and recommend test cases to focus the software development process and test associated performance metrics. Recognizing that the development of software tools for distributed intelligent control systems will require a multidisciplinary effort, experts in systems engineering, control systems engineering, and compute science were invited to participate in the workshop. In particular, experts who could address the following topics were selected: operating systems, engineering data representation and manipulation, emerging standards for manufacturing data, mathematical foundations, coupling of symbolic and numerical computation, user interface, system identification, system representation at different levels of abstraction, system specification, system design, verification and validation, automatic code generation, and integration of modular, reusable code.

An Intelligent Tool for Activity Data Collection

Directory of Open Access Journals (Sweden)

A. M. Jehad Sarkar

2011-04-01

Full Text Available Activity recognition systems using simple and ubiquitous sensors require a large variety of real-world sensor data for not only evaluating their performance but also training the systems for better functioning. However, a tremendous amount of effort is required to setup an environment for collecting such data. For example, expertise and resources are needed to design and install the sensors, controllers, network components, and middleware just to perform basic data collections. It is therefore desirable to have a data collection method that is inexpensive, flexible, user-friendly, and capable of providing large and diverse activity datasets. In this paper, we propose an intelligent activity data collection tool which has the ability to provide such datasets inexpensively without physically deploying the testbeds. It can be used as an inexpensive and alternative technique to collect human activity data. The tool provides a set of web interfaces to create a web-based activity data collection environment. It also provides a web-based experience sampling tool to take the user’s activity input. The tool generates an activity log using its activity knowledge and the user-given inputs. The activity knowledge is mined from the web. We have performed two experiments to validate the tool’s performance in producing reliable datasets.

Analysis of optoelectronic strategic planning in Taiwan by artificial intelligence portfolio tool

Science.gov (United States)

Chang, Rang-Seng

1992-05-01

Taiwan ROC has achieved significant advances in the optoelectronic industry with some Taiwan products ranked high in the world market and technology. Six segmentations of optoelectronic were planned. Each one was divided into several strategic items, design artificial intelligent portfolio tool (AIPT) to analyze the optoelectronic strategic planning in Taiwan. The portfolio is designed to provoke strategic thinking intelligently. This computer- generated strategy should be selected and modified by the individual. Some strategies for the development of the Taiwan optoelectronic industry also are discussed in this paper.

An online tool for business modelling and a refinement of the Business Canvas

NARCIS (Netherlands)

Rogier Brussee; Peter de Groot

2016-01-01

We give a refinement of the well known business model canvas by Osterwalder and Pigneur by splitting the basic blocks into further subblocks to reduce confusion and increase its expressive power. The splitting is used in an online tool which in addition comes with a set of questions to further

BUSINESS MANAGEMENT THEORY DEVELOPED ON THE BASIS OF SYSTEM APPROACH AND BUSINESS ENGINEERING TOOLS

Directory of Open Access Journals (Sweden)

N. I. Strich

2011-01-01

Full Text Available Management should be carried out with due account of the system theory and using tools and opportunities offered by such modern management components as business engineering and reengineering. Main points of this theory are given along with detailed determination of business engineering and reengineering particularly efficient while determining measures needed to reorganize an enterprise (or a group of enterprises through updating its organizational structure as well as economic, personnel or other system. Out-sourcing also described in detail is considered as modern enterprise management system’s most efficient instrument.

Artificial intelligence in gas plant operation help; L'intelligence artificielle dans l'aide a l'exploitation des installations gazieres

Energy Technology Data Exchange (ETDEWEB)

Pietrzak, J.M. [Gaz de France (GDF), Centre d' Expertise Operationnelle et de Service, Dir. de la Production et du Transport, 75 - Paris (France)

2000-07-01

The problems encountered in activities associated with the life cycle of gas plants - in the core business sectors of GDF- demonstrate the need to access this know how in a practical and efficient way for an optimise use and operation of these gas plants. Simulation is an excellent tool for integration and transfer of this know-how. It requires to use methods and technologies of Artificial Intelligence and objects in particular. The operation help tools and prototypes have been developed with the co-operation and investment of a little software company and derive from the commitment and desire of a number of experts and their senior managers to prepare the future and invest in the durability of know-how in the company's core business sectors. (author)

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.

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.

An extension of the technology acceptance model for business intelligence systems: project management maturity perspective

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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.

BProVe: Tool support for business process verification

DEFF Research Database (Denmark)

Corradini, Flavio; Fornari, Fabrizio; Polini, Andrea

2017-01-01

This demo introduces BProVe, a tool supporting automated verification of Business Process models. BProVe analysis is based on a formal operational semantics defined for the BPMN 2.0 modelling language, and is provided as a freely accessible service that uses open standard formats as input data...

SNMP-SI: A Network Management Tool Based on Slow Intelligence System Approach

Science.gov (United States)

Colace, Francesco; de Santo, Massimo; Ferrandino, Salvatore

The last decade has witnessed an intense spread of computer networks that has been further accelerated with the introduction of wireless networks. Simultaneously with, this growth has increased significantly the problems of network management. Especially in small companies, where there is no provision of personnel assigned to these tasks, the management of such networks is often complex and malfunctions can have significant impacts on their businesses. A possible solution is the adoption of Simple Network Management Protocol. Simple Network Management Protocol (SNMP) is a standard protocol used to exchange network management information. It is part of the Transmission Control Protocol/Internet Protocol (TCP/IP) protocol suite. SNMP provides a tool for network administrators to manage network performance, find and solve network problems, and plan for network growth. SNMP has a big disadvantage: its simple design means that the information it deals with is neither detailed nor well organized enough to deal with the expanding modern networking requirements. Over the past years much efforts has been given to improve the lack of Simple Network Management Protocol and new frameworks has been developed: A promising approach involves the use of Ontology. This is the starting point of this paper where a novel approach to the network management based on the use of the Slow Intelligence System methodologies and Ontology based techniques is proposed. Slow Intelligence Systems is a general-purpose systems characterized by being able to improve performance over time through a process involving enumeration, propagation, adaptation, elimination and concentration. Therefore, the proposed approach aims to develop a system able to acquire, according to an SNMP standard, information from the various hosts that are in the managed networks and apply solutions in order to solve problems. To check the feasibility of this model first experimental results in a real scenario are showed.

Advances in business ICT

CERN Document Server

Pełech-Pilichowski, Tomasz

2014-01-01

Futurists and scientists alike profess the coming of a new era in the history – the knowledge era. The notion of knowledge is as old as humans’ self-consciousness, but new challenges appear. The meaning of the word “knowledge” is changing from cognitive notion to a technical term denoting a structured economic resource to be actively managed. This contributed volume is a result of vivid and extremely valuable discussions held at 3rd International Workshop on Advances in Business ICT (ABICT) in Wrocław, Poland, September 9-12, 2012. The workshop focused on Advances in Business ICT approached from a multidisciplinary perspective. It provided an international forum for scientists/experts from academia and industry to discuss and exchange current results, applications, new ideas of ongoing research and experience on all aspects of Business Intelligence. ABICT has also been an opportunity to demonstrate different ideas and tools for developing and supporting organizational creativity, as well as advances ...

Airline company management: 'Defining of necessary number of employees in airline by using artificial intelligence tools'

OpenAIRE

Petrović, Dragan M.; Puharic, Mirjana A.; Jovanović, Tomislav Ž.

2015-01-01

In this paper the model for preliminary estimation of number of employees in airline by using of artificial intelligence tools. It is assumed that the tools of artificial intelligence can be applied even for complex tasks such as defining the number of employees in the airline. The results obtained can be used for planning the number of employees, ie. planning the necessary financial investments in human resources, and may also be useful for a preliminary analysis of the airlines that choose ...

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,...

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.

Teaching Bayesian Statistics To Intelligence Analysts: Lessons Learned

Directory of Open Access Journals (Sweden)

Hemangni Deshmukh

2009-01-01

Full Text Available The Community must develop and integrate into regular use new tools that can assist analysts in filtering and correlating the vast quantities of information that threaten to overwhelm the analytic process…—Commission on the Intelligence Capabilities of the United States.Regarding Weapons of Mass Destruction (The WMD Report1Unlike the other social sciences and, particularly, the physical sciences, where scientists get to choose the questions they wish to answer and experiments are carefully designed to confirm or negate hypotheses, intelligence analysis requires analysts to deal with the demands of decision makers and estimate the intentions of foreign actors, criminals or business competitors in an environment filled with uncertainty and even deliberate deception.

What is in a business case? Business cases as a tool-in-use for promoting water management practices in the food sector

DEFF Research Database (Denmark)

Pedersen, Esben Rahbek Gjerdrum; Rosati, Francesco; Lauesen, Linne Marie

2017-01-01

This paper explores the role of business cases as a tool for supporting decision-making processes regarding water management. Based on an analysis of survey and interview data from 300þ organisations within the European food sector, it is concluded that the relative emphasis on business cases...... literature by moving beyond generic discussions of the business case for corporate sustainability to exploring the concrete use of business cases as a decision-making tool for managers....... and payback times influences the average level of water management engagement. However, the findings from the analysis also indicate that use of business cases are not set in stone but can be adapted and changed through ongoing dialogue and negotiations. The paper contributes to the existing academic...

EXPLORATORY ANALYSIS OF ORGANIZATIONAL CULTURE IN GALATI COUNTY BUSINESS ENVIRONMENT

Directory of Open Access Journals (Sweden)

Gabriela GHEORGHE

2014-06-01

Full Text Available Based on data collected as part of the COMOR Project, developed by The Scientific Society of Management from Romania, for the analysis of organizational culture in the Romanian business environment, we have initiated an exploration using Business Intelligence tools. The purpose of this analysis is to find relevant information about the organizational culture for Galati County, starting from the results obtained in this project, and, using data mining techniques, to investigate relationships and links between responses to different survey questions, in this "mine" data, gathered by the project team effort.

Artificial intelligence, neural network, and Internet tool integration in a pathology workstation to improve information access

Science.gov (United States)

Sargis, J. C.; Gray, W. A.

1999-03-01

The APWS allows user friendly access to several legacy systems which would normally each demand domain expertise for proper utilization. The generalized model, including objects, classes, strategies and patterns is presented. The core components of the APWS are the Microsoft Windows 95 Operating System, Oracle, Oracle Power Objects, Artificial Intelligence tools, a medical hyperlibrary and a web site. The paper includes a discussion of how could be automated by taking advantage of the expert system, object oriented programming and intelligent relational database tools within the APWS.

Big Data is a powerful tool for environmental improvements in the construction business

Science.gov (United States)

Konikov, Aleksandr; Konikov, Gregory

2017-10-01

The work investigates the possibility of applying the Big Data method as a tool to implement environmental improvements in the construction business. The method is recognized as effective in analyzing big volumes of heterogeneous data. It is noted that all preconditions exist for this method to be successfully used for resolution of environmental issues in the construction business. It is proven that the principal Big Data techniques (cluster analysis, crowd sourcing, data mixing and integration) can be applied in the sphere in question. It is concluded that Big Data is a truly powerful tool to implement environmental improvements in the construction business.

Utilization of Emotional Intelligence Traits by Public School Superintendents in the State of Arkansas

Science.gov (United States)

Adams, Lisa Ann Hoffman

2013-01-01

A leadership shortage has been documented across professions. Emotional intelligence skills, traits, and abilities have received much attention as a tool for business leaders in the past decade as a way to increase leadership skill, meet organizational goals, and enhance profits. The study sought to determine whether public school superintendents…

Using Technology-Enabled Active Learning Tools to Introduce Business Ethics Topics in Business Law Courses: A Few Practical Examples

Science.gov (United States)

Reid, Linda A.; Weber, Curt M.

2008-01-01

In this article, the authors echo the assertion of the Association to Advance Collegiate Schools of Business (AACSB) Ethics Education Task Force that business schools must encourage students to develop a deep understanding of the myriad challenges surrounding corporate responsibility and corporate governance; provide them with tools for…

Implementasi Business Intelligence untuk Menganalisis Data Persalinan Anak di Klinik Ani Padang dengan Menggunakan Aplikasi Tableau Public

Directory of Open Access Journals (Sweden)

Afdhal Zikri

2017-07-01

Full Text Available Pengelolaan data merupakan hal penting dari sebuah perusahaan namun prosesnya tidaklah mudah. Seiring dengan perkembangan teknologi, terciptalah banyak cara dalam mengolah dan mengatur data salah satunya yaitu Business intelligence (BI yang merupakan sebuah proses untuk melakukan ekstrasi data-data operasional perusahaan dan mengumpulkannya  dalam sebuah data warehouse. BI tidak hanya digunakan untuk perusahaan saja tetapi bisa diterapkan pada hal lainnya. Klinik Ani merupakan klinik yang telah berdiri sebelum tahun 2000. Klinik tersebut memiliki record data dari tiap pasien yang telah ditanganinya, salah satunya persalinan. Namun karena proses yang digunakan masih berbentuk manual, klinik tersebut masih belum bisa meningkatkan efektifitas dak efisiensinya sebaik mungkin. Penelitian ini bertujuan untuk memberikan informasi-informasi yang berguna untuk meningkatkan efektifitas dan efisiensi pada klinik tersebut dengan dasar Business intelligence. Dalam penelitian ini, analisis data dilakukan dengan menggunakan aplikasi Tableau Public. Tableau Public adalah perangkat lunak bisnis intelijen yang mudah untuk digunakan, terutama dalam hal membuat visualisasi data, analisis data, dan pelaporan. Dengan metodologi deskriptif  yang didapatkan dari hasil observasi terhadap data yang ada, akan didapatkan sebuah output berupa informasi tentang tren kelahiran/persalinan anak dalam empat semester terakhir di Klinik Ani Padang Sumatera Barat.

Business Process Variability : A Tool for Declarative Template Design

NARCIS (Netherlands)

Bulanov, P.; Groefsema, H.; Aiello, M.

2012-01-01

To lower both implementation time and cost, many Business Process Management tools use process templates to implement highly recurring processes. However, in order for such templates to be used, a process has to adhere substantially to the template. Therefore, current practice for processes which

FORMAL MODELLING OF BUSINESS RULES: WHAT KIND OF TOOL TO USE?

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Sandra Lovrenčić

2006-12-01

Full Text Available Business rules are today essential parts of a business system model. But presently, there are still various approaches to, definitions and classifications of this concept. Similarly, there are also different approaches in business rules formalization and implementation. This paper investigates formalization using formal language in association with easy domain modelling. Two of the tools that enable such approach are described and compared according to several factors. They represent ontology modelling and UML, nowadays widely used standard for object-oriented modelling. A simple example is also presented.

Intelligence analysis – the royal discipline of Competitive Intelligence

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František Bartes

2011-01-01

Full Text Available The aim of this article is to propose work methodology for Competitive Intelligence teams in one of the intelligence cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed. The main result of the effort is the creation of added value for the information collected. Company Competiitve Intelligence, correctly understood and implemented in business practice, is the “forecasting of the future”. That is forecasting about the future, which forms the basis for strategic decisions made by the company’s top management. To implement that requirement in corporate practice, the author perceives Competitive Intelligence as a systemic application discipline. This approach allows him to propose a “Work Plan” for Competitive Intelligence as a fundamental standardized document to steer Competitive Intelligence team activities. The author divides the Competitive Intelligence team work plan into five basic parts. Those parts are derived from the five-stage model of the intelligence cycle, which, in the author’s opinion, is more appropriate for complicated cases of Competitive Intelligence.

The Cash Flow as Financial Management Tool For Small Businesses

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Osmar Siena

2015-06-01

Full Text Available This study is engaged on the axis of Financial Management, with research into the factors controlling corporation in small business finance. It has as main objective to analyze the cash flow tool as a tool for financial management and specific process to describe the use of the Cash Flow tool objectives; analyze the feasibility of implementing the Cash Flow tool as an instrument of financial management and suggest proposals for suitability for deployment of Cash Flows as a financial management system. Facing these objectives the research uses the precedence of qualitative methodology and applies the instruments on-site visit, interview and questionnaire to collect data. Descriptive analysis that confront the theoretical basis and the data obtained from research is used. With the completion of the analysis the following results were achieved: description of business processes researched; identifying the needs and forms of control currently used and presentation of improvement measures for the adjustment of non-conformities identified. The study contributes to both the academic improvement by analyzing the real situation of the company, as well as it serves as a recommendation to companies embracing similar difficulties in financial management.

Entheogens and Existential Intelligence: The Use of Plant Teachers as Cognitive Tools

Science.gov (United States)

Tupper, Kenneth W.

2002-01-01

In light of recent specific liberalizations in drug laws in some countries, I have investigated the potential of entheogens (i.e., psychoactive plants used as spiritual sacraments) as tools to facilitate existential intelligence. "Plant teachers" from the Americas such as ayahuasca, psilocybin mushrooms, and peyote, and the Indo-Aryan…

Intelligent promotion of city and gas enterprise

Energy Technology Data Exchange (ETDEWEB)

1989-07-01

This paper studied the conception of intelligent promotion in cities, present situation and future trend, and reported how gas enterprises should respond. The intelligent promotion is divided into two areas, namely, that in the business buildings and that in private houses. Thia paper studied mainly for that in business buildings and then the concept of intelligent promotion in private houses was arranged. The intelligent promotion was thought by dividing four systems, that is, space and equipment system, service and management system, human system, and social system. But present intelligent promotion is carried out only a part of three systems except last one. A part of human system and social system are remained as the future problems. 4 figs., 2 tabs.

Designing a Business Model for Environmental Monitoring Services Using Fast MCDS Innovation Support Tools

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Tuomo Eskelinen

2017-11-01

Full Text Available The free availability of open data provides opportunities to start new businesses and gain business intelligence. However, although data is often used to support decisions and actions, the possibilities offered by modern sensor technologies with connections to cloud-based data collection services are not being effectively capitalized. Data collection systems are also not generally open source solutions, even though open and flexibly adjustable systems would broaden the opportunities for solutions and larger revenue streams. In this article, we used action research methods to discover new business opportunities in a semi-open information system that utilizes environmental monitoring data. We applied a four-stage innovation process for industry, which included context definition, idea generation, and selection, and produced multi-criteria decision support (MCDS data to help the design of business model. This was done to reveal business opportunities for an environmental monitoring service. Among these opportunities, one service-style business model canvas was identified as feasible and selected for further development. We identified items that are needed in the commercialization process of environmental monitoring services. Our process combines open environmental monitoring data, participative innovation process, and MCDS support, and it supports and accelerates a co-creative business model creation process that is cost-beneficial in terms of saving time. The results are applicable to the creation of an open data information system that supports data-driven innovation.

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

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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.

Intelligent vehicle initiative : business plan

Science.gov (United States)

1997-11-01

The U.S. Department of Transportation (USDOT) is embarking on a new program called the Intelligent Vehicle Initiative (IVI). The USDOT intends to jointly define the program plan and conduct the IVI in cooperation with the motor vehicle, trucking, and...

Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers

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Bogdan-Andrei IONESCU

2014-09-01

Full Text Available The aim of this paper is to synthesize the concepts behind Business Intelligence, by studying the solutions available on the market provided by the main players. We will present the software solutions already provided by them emphasizing the main advantages and benefits of each of them, but also as a comparative analysis, designed to reveal the area in which each provider is more remarkable than the others.

Life Cycle Assessment as Entrepreneurial Tool for Business Management and Green Innovations

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Cassiano Moro Piekarski

2013-01-01

Full Text Available A transition for a green economy has encouraged companies to use new tools which promote internal corporate entrepreneurship, increase the competitiveness and achieve sustainable results. This article presented a theoretical discussion of how the Life Cycle Assessment (LCA can presents as an entrepreneurial tool for modern business management and green innovation. Studies of LCA were analyzed showing benefits and applications in the areas of strategic planning, production, process of development of products, search and development, social and environmental responsibility, and marketing. As for green innovations, there were analyzed studies of innovations in products, processes and services. The tool assists in making sustainable decisions, fortifies the management of the business processes, the management of operations and the promotion of greener innovations.

System of Indicators in the Innovation Management: Business Intelligence Applied to Tourism

Science.gov (United States)

Lozada, Dayana; Araque, Francisco; Castillo, Jose Manuel; Salguero, Alberto; Delgado, Cecilia; Noda, Marcia; Hernández, Gilberto

The work presents an approach to study mechanisms that allows managers the Innovation Management (IM) measurements. It is assumed, as main motivation, the analysis of patterns for the design of an integral system of indicators. A methodology that integrates the thought process, focusing on the Business Intelligence and the Balance Scorecard will be presented. A group of indexes based on the multidimensionality of IM in organizations of the sector of tourism is proposed. To approach this quality it is necessary to contextualize, in the conditions of sectoral operation, the theories, models and systems used in our approach. It has been used intervention methods like experts' criteria, consensus search techniques by means of surveys, consultation of documents, and statistical methods such as analysis of the main components.

BUSINESS INTELLIGENCE (BI IMPLEMENTATION FROM THE PERSPECTIVE OF INDIVIDUAL CHANGE

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Maria Amélia de Mesquita Fetzner

2011-05-01

Full Text Available Change is central in the implementation of Information Technology (IT. This paper reports on a study in which the aim was to examine the nature of change at the individual level with an analysis based on interviews with representatives from a Business Intelligence (BI solution provider and a group of clients. The implementations seemed to have occurred without great difficulty, BI learning was quick, intuitive, and the process generated a positive affect. Changes occurred in work practices, in the relationships between professionals, with regard to information, and in decision making. The study uses different theoretical approaches and proposes the application of an analytical perspective that includes affective, cognitive and behavioral aspects in order to investigate IT adoption. On a practical level, the study contributes to the knowledge regarding a particular technology - BI and, consequently, provides professionals with the opportunity to expand their knowledge of the perceptions people have of technology, which can lead to reflection and differentiated practices.

Information security system quality assessment through the intelligent tools

Science.gov (United States)

Trapeznikov, E. V.

2018-04-01

The technology development has shown the automated system information security comprehensive analysis necessity. The subject area analysis indicates the study relevance. The research objective is to develop the information security system quality assessment methodology based on the intelligent tools. The basis of the methodology is the information security assessment model in the information system through the neural network. The paper presents the security assessment model, its algorithm. The methodology practical implementation results in the form of the software flow diagram are represented. The practical significance of the model being developed is noted in conclusions.

The intelligent clinical laboratory as a tool to increase cancer care management productivity.

Science.gov (United States)

Mohammadzadeh, Niloofar; Safdari, Reza

2014-01-01

Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity.

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

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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.

Matching intelligent systems with business process reengineering

NARCIS (Netherlands)

Hart, 't M.W.

1996-01-01

According to Venkatraman (1991) five degrees of IT-induced business reconfiguration can be distinguished: (1) localized exploitation of IT, (2) internal integration, (3) business process redesign, (4) business network redesign, and (5) business scope redefinition. On each of these levels, different

Possibilities and tools of business crisis management during the natural crisis

OpenAIRE

Bosáková, Renáta

2009-01-01

This work analyses disposable tools of business crisis management to manage crisis which are induced by natural threats and it considers possibilities of these methods using. On basis of performed analysis then in the practical part it uses the acceptable methods and tools to look for threats and risks of the firm and suggests optimal structure of crisis plan.

Airline company management: 'Defining of necessary number of employees in airline by using artificial intelligence tools'

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Petrović Dragan M.

2015-01-01

Full Text Available In this paper the model for preliminary estimation of number of employees in airline by using of artificial intelligence tools. It is assumed that the tools of artificial intelligence can be applied even for complex tasks such as defining the number of employees in the airline. The results obtained can be used for planning the number of employees, ie. planning the necessary financial investments in human resources, and may also be useful for a preliminary analysis of the airlines that choose to do restructuring or plan to increase/decrease the number of operations. Results were compared with those obtained by regression analysis.

Soft computing in intelligent control

CERN Document Server

Jung, Jin-Woo; Kubota, Naoyuki

2014-01-01

Nowadays, people have tendency to be fond of smarter machines that are able to collect data, make learning, recognize things, infer meanings, communicate with human and perform behaviors. Thus, we have built advanced intelligent control affecting all around societies; automotive, rail, aerospace, defense, energy, healthcare, telecoms and consumer electronics, finance, urbanization. Consequently, users and consumers can take new experiences through the intelligent control systems. We can reshape the technology world and provide new opportunities for industry and business, by offering cost-effective, sustainable and innovative business models. We will have to know how to create our own digital life. The intelligent control systems enable people to make complex applications, to implement system integration and to meet society’s demand for safety and security. This book aims at presenting the research results and solutions of applications in relevance with intelligent control systems. We propose to researchers ...

A modern artificial intelligence Playware art tool for psychological testing of group dynamics

DEFF Research Database (Denmark)

Pagliarini, Luigi; Lund, Henrik Hautop

2015-01-01

and the psychological findings. We describe the modern artificial intelligence implementation of this instrument. Between an art piece and a psychological test, at a first cognitive analysis, it seems to be a promising research tool. In the discussion we speculate about potential industrial applications, as well....

Benefits of collective intelligence: Swarm intelligent foraging, an ethnographic research

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Sivave Mashingaidze

2014-12-01

Full Text Available Wisdom of crowds; bees, colonies of ants, schools of fish, flocks of birds, and fireflies flashing synchronously are all examples of highly coordinated behaviors that emerge from collective, decentralized intelligence. This article is an ethnographic study of swarm intelligence foraging of swarms and the benefits derived from collective decision making. The author used using secondary data analysis to look at the benefits of swarm intelligence in decision making to achieve intended goals. Concepts like combined decision making and consensus were discussed and four principles of swarm intelligence were also discussed viz; coordination, cooperation, deliberation and collaboration. The research found out that collective decision making in swarms is the touchstone of achieving their goals. The research further recommended corporate to adopt collective intelligence for business sustainability.

Transformace obchodního modelu IT průmyslu směrem k SaaS a její důsledky na roli podnikové informatiky v oblasti Business Intelligence

OpenAIRE

Kűfner, Jiří

2014-01-01

The theme of this thesis is one of ways, which develops area of Business Intelligence in the last few years. This way are BI systems design on the principle of Cloud computing, also called BI SaaS. This is a cost available solution also suitable for small companies. This work is aimed to acquaint the reader with basic theoretical knowledge in the areas of Cloud computing, Business Intelligence and their connections. Wants to show risks of this technologies and compare between on-premise and c...

E-tool for business processes to improve travel time reliability.

Science.gov (United States)

2015-01-01

The etool can be found on the TRB website by following this link: http://www.trb.org/Main/Blurbs/170579.aspx The research team developed an e-tool that can be used by practitioners for planning, implementing, integrating, and analyzing business proce...

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

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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.

Management Intelligent Systems : First International Symposium

CERN Document Server

Martínez-López, Francisco; Rodríguez, Juan

2012-01-01

The 2012 International Symposium on Management Intelligent Systems is believed to be the first international forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; i.e., what we propose to be named as Management Intelligent Systems (MiS). The three-day event aimed to bring together researchers interested in this promising interdisciplinary field who came from areas as varied as management, marketing, and business in general, computer science, artificial intelligence, statistics, etc. This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service person...

Usability Evaluation for Business Intelligence Applications: A User Support Perspective

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Chrisna Jooste

2014-08-01

Full Text Available Business Intelligence (BI applications provide business information to drive decision support. Usability is one of the factors determining the optimal use and eventual benefit derived from BI applications. The documented need for more BI usability research together with the practical necessity for BI evaluation guidelines in the mining industry provides the rationale for this study. The purpose of the study was to investigate the usability evaluation of BI applications in the context of a coal mining organization. The research is guided by the question: How can existing usability criteria be customized to evaluate the usability of BI applications. The research design included user observation, heuristic evaluation and a survey. Based on observations made during user support on a BI application used at a coal mining organization a log of usability issues was compiled. The usability issues extracted from this log was compared and contrasted with general usability criteria from literature to synthesize an initial set of BI usability evaluation criteria. These criteria were used as the basis for a heuristic evaluation of the BI application used at the coal mining organization. The same BI application was also evaluated using the Software Usability Measurement Inventory (SUMI standardized questionnaire. The results from the two evaluations were triangulated and then compared with the BI user issues again to contextualize the findings and synthesize a validated and refined set of criteria. The main contribution of the study is the usability evaluation criteria for BI applications presented as guidelines. These guidelines deviate from existing evaluation guidelines in the emphasis on information architecture, learnability and operability.

Considerations and benefits of implementing an online database tool for business continuity.

Science.gov (United States)

Mackinnon, Susanne; Pinette, Jennifer

2016-01-01

In today's challenging climate of ongoing fiscal restraints, limited resources and complex organisational structures there is an acute need to investigate opportunities to facilitate enhanced delivery of business continuity programmes while maintaining or increasing acceptable levels of service delivery. In 2013, Health Emergency Management British Columbia (HEMBC), responsible for emergency management and business continuity activities across British Columbia's health sector, transitioned its business continuity programme from a manual to automated process with the development of a customised online database, known as the Health Emergency Management Assessment Tool (HEMAT). Key benefits to date include a more efficient business continuity input process, immediate situational awareness for use in emergency response and/or advanced planning and streamlined analyses for generation of reports.

Designing an Intelligent Mobile Learning Tool for Grammar Learning (i-MoL

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Munir Shuib

2015-01-01

Full Text Available English is the most important second language in most non-English speaking countries, including Malaysia. A good English proficiency comes from good grasp of grammar. To conquer the problems of low English proficiency among Malaysians, it is important to identify the key motivators that could facilitate the process of grammar learning. In this digital age, technology can play a very important role and mobile technology could be one of it. Thus, this study aims at designing a mobile learning tool, namely the Intelligent Mobile Learning Tool for Grammar Learning (i-MoL to act as the “on-the-go” grammar learning support via mobile phones. i-MoL helps reinforce grammar learning through mobile phone with game-like applications, inquiry-based activities and flashcard-like information. The intelligent part of i-MoL lies in its ability to map the mobile-based grammar learning content to individual’s preferred learning styles based on Felder-Silverman Learning Style Model (FSLSM. The instructional system design through the ADDIE model was used in this study as a systematic approach in designing a novel and comprehensive mobile learning tool for grammar learning. In terms of implications, this study provides insights on how mobile technologies can be utilized to meet the mobility demand among language learners today.

Applications of Spatial Data Using Business Analytics Tools

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Anca Ioana ANDREESCU

2011-12-01

Full Text Available This paper addresses the possibilities of using spatial data in business analytics tools, with emphasis on SAS software. Various kinds of map data sets containing spatial data are presented and discussed. Examples of map charts illustrating macroeconomic parameters demonstrate the application of spatial data for the creation of map charts in SAS Enterprise Guise. Extended features of map charts are being exemplified by producing charts via SAS programming procedures.

Self-Assessing of the Emotional Intelligence and Organizational Intelligence in Schools

Science.gov (United States)

Dagiene, Valentina; Juškeviciene, Anita; Carneiro, Roberto; Child, Camilla; Cullen, Joe

2015-01-01

The paper presents the results of an evaluation of the Emotional Intelligence (EI) and Organisational Intelligence (OI) competences self-assessment tools developed and applied by the IGUANA project. In the paper Emotional Intelligence and Organisational Intelligence competences are discussed, their use in action research experiments to assess and…

Data Mining Solutions for the Business Environment

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Ruxandra-Stefania PETRE

2014-02-01

Full Text Available Over the past years, data mining became a matter of considerable importance due to the large amounts of data available in the applications belonging to various domains. Data mining, a dynamic and fast-expanding field, that applies advanced data analysis techniques, from statistics, machine learning, database systems or artificial intelligence, in order to discover relevant patterns, trends and relations contained within the data, information impossible to observe using other techniques. The paper focuses on presenting the applications of data mining in the business environment. It contains a general overview of data mining, providing a definition of the concept, enumerating six primary data mining techniques and mentioning the main fields for which data mining can be applied. The paper also presents the main business areas which can benefit from the use of data mining tools, along with their use cases: retail, banking and insurance. Also the main commercially available data mining tools and their key features are presented within the paper. Besides the analysis of data mining and the business areas that can successfully apply it, the paper presents the main features of a data mining solution that can be applied for the business environment and the architecture, with its main components, for the solution, that would help improve customer experiences and decision-making

Fatores críticos de sucesso de aplicações de Business Intelligence baseadas em sistemas ERP

OpenAIRE

Sobrido, Manuel Pier

2008-01-01

Business Intelligence (BI) é uma solução de suporte à decisão que ajuda administradores e gerentes a transformar imensos volumes de dados transacionais em informações úteis, que, ao serem disponibilizadas no momento e no formato adequado, oferecem apoio em processos decisórios. Quando essa tecnologia é empregada em conjunto com o sistema ERP (Enterprise Resource Planning), elas se potencializam e os resultados ficam ainda melhores, pois o ERP forma uma base de dados integrad...

A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

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Neil Foshay

2015-09-01

Full Text Available Business intelligence and analytics (BIA initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design science paradigm to develop a comprehensive BIA effectiveness diagnostic (BIAED framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriate input from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants and use the results to inform BIA strategy formulation. Feedback from participating organizations indicates that BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

English for Business: Student Responses to Language Learning through Social Networking Tools

Science.gov (United States)

García Laborda, Jesús; Litzler, Mary Frances

2017-01-01

This action research based case study addresses the situation of a first year class of Business English students at Universidad de Alcalá and their attitudes towards using Web 2.0 tools and social media for language learning. During the semester, the students were asked to collaborate in the creation and use of some tools such as blogs, video…

Analysis of Computer-Aided and Artificial Intelligence Technologies and Solutions in Service Industries in Russia

OpenAIRE

Rezanov, Vladislav

2013-01-01

The primary objective of this research study was to investigate the relationship between Computer-Aided and Artificial Intelligence Technologies and customer satisfaction in the context of businesses in Russia. The research focuses on methods of Artificial Intelligence technology application in business and its effect on customer satisfaction. The researcher introduces Artificial Intelligence and studies the forecasting approaches in relation to business operations. The rese...