...Issue 50 (2012), pp. 62-75 © EuroJournals Publishing, Inc. 2012 http://www.eurojournals.com/ajsr.htm Review Study: Business Intelligence Concepts and Approaches Saeed Rouhani Islamic Azad University, Firoozkooh Branch Department of Industrial Engineering, Firoozkooh, Iran E-mail: SRouhani@iust.ac.ir Tel: +98-912-2034980 Sara Asgari MehrAlborz University, Tehran, Iran E-mail: sara.asgary29@gmail.com Seyed Vahid Mirhosseini MehrAlborz University, Tehran, Iran E-mail: vmirhosseini@gmail.com Abstract In today’s challenging business environment, it is a vital for organization to access useful information and knowledge. Business Intelligence (BI) is an umbrella concept for tools, techniques and solutions that helps managers to understand business situation. And BI tools can support informational knowledge needs of organizations. With respect to increasing trend of BI researches in BI concepts and applications, in this paper, recent researches and papers of academic journals in this field is systematically review to classify and prioritize the concepts and approaches of business intelligence. Consequently researches was classified in three, managerial, technical and system enables approaches to BI, and specification of each approach and future research quid was described. Keywords: Business Intelligence; Enterprise Intelligence Approaches Systems; Review Study; Business 1. Introduction Today, in the rapidly changing environment, need to correct and just-in-time information...
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...Running Head: BUSINESS INTELLIGENCE A REVIEW OF LITERATURE Business Intelligence: A Review of Literature Richard Clark Liberty University Abstract An explorative and descriptive review of literature on Business Intelligence (BI). It presents various definitions of the term “Business Intelligence” and determines that regardless the definition is a “means” to “end”, which sound business or organizational decision making, specifically in strategic planning and management. It also presents several important differentiation of Business Intelligence from data-centric technologies, and enterprise applications. It describes business intelligence architecture and its components. It identifies capabilities and benefits to be derive from it, barriers to its successful implementation, and critical success factors. It identifies BI software vendors, trends and forecast, and ethical considerations. It concludes with a conceptual framework that shows business intelligence as a process that produces intelligence necessary for strategic planning and management, that in turn results to a strategy that creates competitive advantages. This paper is an explorative and descriptive review of literature on Business Intelligence (BI). An exploratory research as the name suggests explores a problem or a situation with the purpose of defining an ambiguous problem. It is undertaken from the perspective of a student in management and of an IT “dummy”. Consequently, the review strategy is to...
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...Justifying the Research Methods 4 3.4 The impact of BI on Sensible Solution Ltd 4 4. LITERATURE REVIEW 7 4.1 BI Architecture and components 8 4.2 Enterprise Resource Planning (ERP) 9 4.3 Levels Of Strategy Within An Organisation And Linkage To Bi 11 4.3.1 The Corporate Level Strategy 11 4.3.2 Business-Level Strategy 12 4.3.4 Operational Strategy 13 4.3.5 Bi implementation strategies 14 4.3.5 Balance Scorecard (BSC) 15 5. The Macro Environment of Sensible Solution Ltd 17 5.1 Swot Analysis 17 5.2 Pestle Analysis 18 6. CONCLUSION/RECOMMENDATIONS 19 7. REFERENCES 21 LIST OF FIGURES Figure 1:Linking Sensible Solution Ltd strategy and goals with Business Intelligence 5 Figure 2:Linkage in Organisation & Functional Benefits of Business Intelligence 6 Figure 3:What business intelligence means in practice 7 Figure 4:The Road Map of BPM define the steps that the company needs to follow as a guide to ensure that the I.T Strategic has the same goals as business strategy 9 Figure 5:ERP integration of all departments within organisation 10 Figure 6:The Enterprise Data Model is the Foundation for Linking Strategy and Analytic Capabilities - it Links the Data to the Business Strategy 11 Figure 7:Business Strategy and BI capabilities 12 Figure 8:The layout of Corporate Strategy, Business Strategy and Operational strategy Links to BI 13 Figure 9:The BI Pathway Methods 14 Figure 10:Business intelligence development process flow from requirements through...
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...(Volume13, 2004) 177-195 177 Business Intelligence by S. Negash BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper explores a matrix for BI data types (structured vs. unstructured)...
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...for Information Systems (Volume13, 2004) 177-195 177 BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper explores a matrix for BI data types (structured vs. unstructured) and data sources...
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...for Information Systems (Volume13, 2004) 177-195 177 BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper explores a matrix for BI data types (structured vs. unstructured) and data sources...
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...Jacob Moore GBA 673 Business Intelligence Jacob Moore GBA 673 Dr. Lara Preiser-Houy, CDP August 20th, 2013 1|Page Jacob Moore GBA 673 Table of Contents Abstract ....................................................................................................................................................... 3 Introduction ............................................................................................................................................... 3 Background ................................................................................................................................................ 4 Conceptualization ..................................................................................................................................... 4 BI 1.0 ......................................................................................................................................................... 4 BI 2.0 ......................................................................................................................................................... 5 BI 3.0 ......................................................................................................................................................... 5 Opportunities ............................................................................................................................................ 6 Challenges ........................................
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...OBJECTIVE : The objective of this assignment is to enable learners to propose the use of Business Intelligence (BI) applications for organisations. The use of Business Intelligence applications will help develop knowledge amongst students to aid organisation to discover insights and relationships within the data in order to improve its business performance. TASK : 1. Write a literature review on BI (Business Intelligence). 2. Select two organisations which have used BI applications. Analyse and discuss how they have used BI applications to improve their business performance. 3. Select a well known organisation which has not used any BI application. Provide a description of the organisation. Also analyse various forms of data (manual/electronic) stored and collected by this organisation. Propose how BI applications could help the organisation to improve its business performance. CHAPTER 1 – INTRODUCTION ________________________________________________________________________________________________________________ 1.1 Introduction OBJECTIVE: The Objective of the assignment is to evaluate the following Learning Outcomes of the Module: LO3: Discuss how Management Information System can assist managers in executing their tasks. LO4: Engage discussion on the usage of Information System in a digital firm. INSTRUCTIONS: In the 21st century Information Systems has become an integral part and added value to a rapid growth of the organisation. The key challenge...
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...MOBILE BUSINESS INTELIGENCE Table of Contents: Abstract…………………………………………………………………………………………3 Keywords……………………………………………………………………………………...3 Purpose………………………………………………………………………………………….4 Introduction……………………………………………………………………………………..4 Definitions………………………………………………………………………………………6 Thesis Statement………………………………………………………………………………..6 Literature Review……………………………………………………………………………….7 Research Design/Methodology…………………………………………………………………13 Performance of Mobile BI ……………………………………………………………………..15 Benefits of Mobile Business Intelligence……………………………………………………….17 Hypothesis………………………………………………………………………………………18 Summary…………………………………………………………………………………………19 References……………………………………………………………………………………….20 ABSTRACT Mobile Business Intelligence has become hottest, emerging and fast growing trends in today’s life. The whole world is shifting from wired connection to wireless connection with smartphones. In Mobile Business Intelligence we can learn, how organizations are responding more rapidly to market changes and customer needs and how they are improving the customer satisfaction by advancing of time to information for detracting business decisions. This paper is intended to assess the current status and future plans that organizations have to deploy mobile enterprise applications. And I am going to explain the role of Mobile Business Intelligence in solving many issues of various organizations. This paper argues the mobile web services presented to customers do not match the user’s...
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...Introduction: We now live in an era of information overload. Nowadays, most Business Intelligence (BI) applications till now have focussed on managing the strategic and tactical business methods and initiatives of organizations. Without Business Intelligence, an organization runs the danger of settling on discriminating choices focused around deficient or wrong data. Settling on choices focused around "gut feel" won't take care of business! One of the fastest BI growth area, lies in its use for managing and optimizing daily business solutions and operations that include overseeing database workloads that answer a mixture of Online Transaction Processing (OLTP)-like questions and additional business insight enquiries. This paper stresses on the importance of operational Business Intelligence in organizations that are not very well equipped to implement BI, and looks at the necessities for building and deploying an operational BI framework. The three main types of BI are - Strategic - Tactical and - Operational. Operational BI is concerned mainly with overseeing and optimizing everyday business operations and solutions. It delivers the required data or information at the right time to the right clients or users for them to tackle current business problems quickly and fulfill new business requirements. It helps organizations work smart and become nimble, which enables them to be competitive and in turn improve customer satisfaction. Inventory (Stock), Network and Risk...
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...CRITICAL SUCCESS FACTORS FOR BUSINESS INTELLIGENCE SYSTEMS WILLIAM YEOH University of South Australia SA 5095 Australia ANDY KORONIOS University of South Australia SA 5095 Australia The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results. Keywords: Business intelligence system, Critical success factors, Delphi method, Case study INTRODUCTION Recently Business Intelligence (BI) applications have been dominating the technology priority list of many CIOs [11, 12]. According to Reinschmidt and Francoise [22], a BI system is “an integrated set...
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...SPECIAL ISSUE: BUSINESS INTELLIGENCE RESEARCH BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords:...
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...SPECIAL ISSUE: BUSINESS INTELLIGENCE RESEARCH BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research...
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...| Business Intelligence | Today, Tools and Tomorrow | | Team 5 | 10/12/2010 | Final PaperBusiness XXXX | Introduction Business Intelligence Today Business Intelligence has different meanings and uses to different people. If you were to look Business Intelligence up on Wikipedia it will tell you Business Intelligence, “refers to the computer based techniques used in spotting, digging-out, and analyzing business data…” and that it “often aims to support better business decisions”. Many people only think of the data needed to understand the competition and others think of BI as the information that is confidential to their business. Today Business Intelligence is all of this and so much more. Business intelligence used successfully can be a powerful tool utilized for competitive advantage. To ensure success, companies must understand the importance of accuracy in the data they have gathered together. If the data they have pulled together is not accurate then the information that will be used to make business decisions could potentially cause poor or misdirected decisions having huge negative impacts on their organizations. During a time when the economy has taken such a down turn this can make or break an organization. One industry where business intelligence is being utilized heavily is insurance. The insurance industry in the past few years has taken a huge hit on their credibility. To ensure competitive advantage they must utilize their BI to ensure...
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...MOBILE BUSINESS INTELLIGENCE ABSTRACT Mobile Business Intelligence has become hottest, emerging and fast growing trends in today’s life. The whole world is shifting from wired connection to wireless connection with smartphones. In Mobile Business Intelligence we can learn, how organizations are responding more rapidly to market changes and customer needs and how they are improving the customer satisfaction by advancing of time to information for detracting business decisions. This paper is intended to assess the current status and future plans that organizations have to deploy mobile enterprise applications. And I am going to explain the role of Mobile Business Intelligence in solving many issues of various organizations. This paper argues the mobile web services presented to customers do not match the user’s expectation due to a lack of interactivity between mobile and web. I am going to analyze the problems facing by customers by using Mobile BI. This paper identifies and analyzes the reports of the study of critical publications, articles; researchers had research about this topic and going to explain the role of Mobile BI in expanding the mobile technology in market. Through the development later I will explain what will be the benefits of organizations by using Mobile BI. Some measures and calculations of various organizations and enterprises will come in existence for gaining knowledge of usage of Mobile BI. Keywords: Mobile Business Intelligence, Organizations,...
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