BUSINESS INTELLIGENCE A MANAGERIAL APPROACH - TURBAN EFRAIM; RAMESH SHARDA (PEARSON)
Keywords: Introduction to Business Intelligence . Opening Vignette: Norfolk Southern Uses Business Intelligence for Decision Support to Reach Success . Changing Business Environments and Computerized Decision Support .The Business Pressures$1 (BResponses$1 (BSupport Mode.A Framework for Business Intelligence (BI) 8 Definitions of BI . A Brief History of BI.The Architecture of BI . Styles of BI . The Benefits of BI . Event-Driven Alerts . Intelligence Creation and Use and BI Governance . A Cyclical Process of Intelligence Creation and Use. Intelligence and Espionage . Transaction Processing versus Analytic Processing . Successful BI Implementation .The Typical BI User Community . Appropriate Planning and Alignment with the Business Strategy . Real-Time, On-Demand BI Is Attainable . Developing or Acquiring BI Systems . Justification and Cost$1 (BBenefit Analysis. Security and Protection of Privacy . Integration of Systems and Applications . Major Tools and Techniques of Business Intelligence .The Tools and Techniques .Selected BI Vendors . Plan of the Book.Resources, Links, and the Teradata University Network Connection. Resources and Links .Cases . Vendors, Products, and Demos .Periodicals. The Teradata University Network Connection . The Book's Web Site . . Additional References .The Teradata University Network (TUN) Connection . Highlights . lusiness Performance Management . Opening Vignette: Double Down at Harrah's . Business Performance Management (BPM) Overview .BPM Defined . BPM and BI Compared . Strategize: Where Do We Want to Go? .Strategic Planning . The Strategy . Plan: How Do We Get There? . Operational Planning . Financial Planning and Budgeting .;.4 Monitor: How Are We Doing? . Diagnostic Control Systems . Pitfalls of Variance Analysis . Act and Adjust: What Do We Need to Do Differently? Performance Measurement . KPIs and Operational Metrics . Problems with Existing Performance Measurement Systems 98 Effective Performance Measurement . BPM Methodologies .Balanced Scorecard (BSC) .Six Sigma . BPM Technologies and Applications .BPM Architecture. Commercial BPM Suites .BPM Market versus the BI Platform Market . Performance Dashboards and Scorecards .Dashboards versus Scorecards. Dashboard Design . What to Look for in a Dashboard .Data Visualization Data Mining for Business Intelligence. Opening Vignette: Data Mining Goes to Hollywood! . . Data Mining Concepts and Definitions . Definitions, Characteristics, and Benefits. How Data Mining Works . . Data Mining Applications . . Data Mining Process . . Business Understanding. . Data Understanding . . Data Preparation . . Modeling Building . . Testing and Evaluation . Other Data Mining Standardized Processes and Methodologies . . Data Mining Methods. . Estimating the True Accuracy of Classification Models. Cluster Analysis for Data Mining . Association Rule Mining . . Artificial Neural Networks for Data Mining . Elements of ANN . Applications of ANN . Data Mining Software Tools. . Data Mining Myths and Blunders . . Text Mining Concepts and Definitions . . Natural Language Processing. . Text Mining Applications. Marketing Applications . Security Applications .. Biomedical Applications. Academic Applications. Text Mining Process .Task 1: Establish the Corpus 207 Task 2: Create the Term$1 (BDocument Matrix . . Extract the Knowledge.Text Mining Tools .Commercial Software Tools .Free Software Tools .Web Mining Overview . Web Content Mining and Web Structure Mining .Web Usage Mining . Web Mining Success Stories . Chapter Highlights . Key Terms. Questions for Discussion. Exercises. End of Chapter Application Case . Business Intelligence Implementation: Integration and Emerging Trends . Opening Vignette: BI Eastern Mountain Sports Increases Collaboration and Productivity . Implementing BI: An Overview . BI Implementations Factors . Managerial Issues Related to BI Implementation . BI and Integration Implementation .Types of Integration. Why Integrate? . Levels of BI Integration . Embedded Intelligent Systems .Connecting BI Systems to Databases and Other Enterprise Systems . Connecting to Databases .Integrating BI Applications and Back-End Systems . Middleware . On-Demand BI .The Limitations of Traditional BI .The On-demand Alternative. Key Characteristics and Benefits . Issues of Legality, Privacy, and Ethics . Legal Issues . Privacy . Ethics in Decision Making and Support . Emerging Topics in BI: An Overview .The Future of Business Intelligence.Revolution. Representative Characteristics of Web . Companies and New Business Models .Online Social Networking: Basics and Examples . A Definition and Basic Information.Mobile Social Networking . Major Social Network Services: Facebook and Orkut . Implications of Business and Enterprise Social Networks.Virtual Worlds .Social Networks and BI: Collaborative Decision Making The Rise of Collaborative Decision Making. Collaboration in Virtual Teams' Decision Making .I RFID and New BI Application Opportunities . Reality Mining . Key Terms .Questions for Discussion . .s