1. CHAPTER 12 Business Intelligence

2. CHAPTER OUTLINE 12.1 Managers and Decision Making 12.2 What Is Business Intelligence? 12.3 Business Intelligence Applications for Data Analysis 12.4 Business Intelligence Applications for Presenting Results 12.5 Business Intelligence in Action: Corporate Performance Management

3. LEARNING OBJECTIVES 1. Identify the phases in the decision-making process, and use a decision-support framework to demonstrate how technology supports managerial decision making. 2. Describe and provide examples of the three different ways in which organizations use business intelligence.

4. LEARNING OBJECTIVES (continued) 3. Specify the BI applications available to users for data analysis, and provide examples of how each might be used to solve a business problem at your university. 4. 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 technologies.

5. LEARNING OBJECTIVES (continued) 5. Describe corporate performance management, and provide an example of how your university could use CPM.

6. Chapter Opening Case: Quality Assurance at Daimler AG Source: Alperium/Shutterstock A core value of Daimler is complete customer satisfaction. Although the text remarks that the “obvious solution” is a data warehouse, understand that such technology was not available in the 1980s when Daimler was struggling to have its separate databases interact with each other Integration of information, especially when some of it originates beyond the boundary of the firm, requires (1) inexpensive computing power, (2) inexpensive and powerful networks, and (3) knowledgeable personnel to use the technology.

7. The Rise of Spreadsheets Spreadsheets (especially Excel) have become much more powerful – consider your Excel cases earlier in the semester Spreadsheets can import data from databases

8. 12.1 Managers and Decision Making Management © Sigrid Olsson/Photo Alto/Age Fotostock

9. The Manager’s Job and Decision Making Managers have three basic roles (Mintzberg 1973) Interpersonal roles – leader and/or liaison Informational roles – monitor or spokesperson Decisional roles – allocate, negotiate, mediate

10. The Manager’s Job & Decision Making (continued) Decisions and Decision making Source: Image Source Limited Choosing among alternatives Intelligence, design, choice

11. Decision Making Process A lot more involved than simply saying “I want that one”

12. 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.

13. A Framework for Computerized Decision Analysis Routine & repetitive decisions Lacks any standard procedure for solution

14. Problem Structure The first dimension deals with the problem structure, where the decision making processes fall along the continuum ranging from highly structured to highly unstructured decisions. Highly structured Semistructured Higly unstructured Order entryLoan approvalBuilding new plant

15. The Nature of Decisions The second dimension of decision support deals with the nature of decisions Operational control – execution of tasks Management control – determining tasks required to achieve a goal Strategic planning – determining goals

16. 12.2 What Is Business Intelligence? Source: Angela Waye/Shutterstoc Isn’t it odd that it is defined half way into the chapter? applications and technologies for consolidating, analyzing, and providing access to vast amounts of data to help users make better business and strategic decisions

17. The Scope of Business Intelligence Smaller organizations: Excel spreadsheets Larger organizations: Data mining, predictive analytics, dashboards Source: Dundas Software, www.dundas.com/ dashboard/online-examples/www.dundas.com/ screenshots/Marketing-Dashboard.aspx The difference in sophistication is generally related to the abilities of staff in the organization

18. How Organizations Use BI Develop few, related BI applications Data mart Develop infrastructure to support enterprisewide BI Enterprise data warehouse Support organizational transformation Enterprise data warehouse

19. 12.3 Business Intelligence Applications for Data Analysis Multidimensional Analysis or Online Analytical Processing (OLAP) Data Mining Decision Support Systems © Toh Kheng Ho/Age Fotostock America, Inc.

20. Multidimensional Analysis or Online Analytical Processing (OLAP) Source: Angela Waye/Shutterstoc

21. Data Mining Source: Corbis/Image Source Limited The process of searching for valuable information in a large database, data warehouse, or data mart. Data mining performs two basic operations: (1) Predicting trends and behaviors (2) Identifying previously unknown patterns and relationships

22. How Business Intelligence Works © Aydin/Age Fotostock America, Inc.

23. Decision Support Systems (DSS) DSS capabilities (semi-structured or unstructured problems) Sensitivity analysis What-if analysis Goal-seeking analysis

24. 12.4 Business Intelligence Applications for Presenting Results Dashboards Data Visualization Technologies Geographic Information Systems Real-Time BI

25. Digital Dashboard (example) Source: MicroStrategy

26. Digital Dashboard (example) Source: Dundas Software, www.dundas.com/ dashboard/online-examples/www.dundas.com/ screenshots/Marketing-Dashboard.aspx

27. Digital Dashboard Demo http://www.informationbuilders.com/rfr/qtdem o/AdvVis_ExecDash/AdvVis_ExecDash.html

28. A Bloomberg Terminal Source: Carlos Osario/Zuma Press

29. Management Cockpit Source: The Management Cockpit is a registered trademark of SAP,created by Professor M.Georges. May be called a “situation room” when used to address an imminent or emerging issue

30. Data Visualization Systems Even though a picture is “worth a thousand words,” we have to be very careful about just what we are seeing. Remember, on the Internet, it is “user beware!”

31. Your Brain Can Understand Images That You Cannot Communicate In Language Describe the color blue Describe a sneeze

32. Example of data visualization Hans Rosling Hans Rosling at the TED Talks Watch this video, understand how visualization creates understanding

33. GISMO GISMO is a geographic information system developed for the city of Corvallis, Oregon.GISMO

34. 12.5 Business Intelligence in Action: Corporate Performance Management FIGURE 12.7 1-8000 CONTACTS customer service agent dashboard.

35. Chapter Closing Case The Business Problem The IT Solutions The Results