TAILIEUCHUNG - Lecture Management information systems (3rd Edition): Chapter 5 - Rainer, Prince, Watson

Chapter 5: Business intelligence. In this chapter, the learning objectives are: Managers and decision making; the business analytics process; business analytics tools; business analytics models: descriptive analytics, predictive analytics, and prescriptive analytics. | CHAPTER 5 Business Intelligence CHAPTER OUTLINE Managers and Decision Making What Is Business Intelligence? Business Intelligence Applications for Data Analysis Business Intelligence Applications for Presenting Results LEARNING OBJECTIVES Identify the phases in the decision-making process, and use a decision support framework to demonstrate how technology supports managerial decision making. Describe and provide examples of different ways that organizations use business intelligence (BI). Specify the BI application available to users for data analysis, and provide examples of how each application can be used to solve a business problem at your university. Describe three BI applications that present the results of data analyses to users, and offer examples of how businesses and government agencies can use each of these applications. Managers and Decision Making Three basic roles of Managers Four Phases of Decision Making Why Managers Need IT Support The number of alternatives to be considered constantly increases. Decisions must be made under time pressure. Decisions are more complex. Decision makers can be in different locations and so is the information. A Framework for Computerized Decision Analysis Problem Structure The Nature of Decisions The Decision Matrix Computer Support for Structured Decisions What is Business Intelligence The Scope of Business Intelligence How Organizations Use BI Business Intelligence Applications for Data Analysis Multidimensional Analysis or Online Analytical Processing (OLAP) Data Mining Decision Support Systems Data Mining Two Basic Data Mining Operations Predicting trends and behaviors Identifying previously unknown patterns Decision Support Systems (DSS) DSS capabilities Sensitivity analysis What-if analysis Goal-seeking analysis Business Intelligence Applications for Presenting Results Dashboards Data Visualization Technologies Geographic Information Systems Real-Time BI Closing Case #1 The Problem The Solution The Results Closing Case #2 The Problem The Solution The Results

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• Business intelligence
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• Management information systems
• Lecture Management information systems
• Social computing
• Business process management
• Lecture Business intelligence
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• Business intelligence tools
• Development of business intelligence
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• Information integration
• Management information system
• Decision making
• Strategic decisions
• Business analytics
• Data mining
• Increasingly complicated decisions
• Business intelligence capabilities
• Insight creation
• Organizational memory capability
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• Data infrastructure
• Organizational culture
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• Holy grail in analytics
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• Finding Minimal Neural Networks
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