1. Chapter 3 Managing Data to Improve Business Performance Information Technology for Management Improving Performance in the Digital Economy 7 th edition John Wiley & Sons, Inc. Slides contributed by Dr. Sandra Reid Chair, Graduate School of Business & Professor, Technology Dallas Baptist University Turban and Volonino 3-1Copyright 2010 John Wiley & Sons, Inc.

2. Chapter Outline 3.1 Data, Master Data, and Data Management 3.2 File Management Systems 3.3 Database Management Systems 3.4 Data Warehouses, Data Marts, and Data Centers 3.5 Enterprise Content Management 3.6 Managerial Issues 3-2Copyright 2010 John Wiley & Sons, Inc.

3. Learning Objectives 1.Describe how data and document management impact profits and performance. 2.Understand how managers are supported or constrained by data quality. 3.Discuss the functions of databases and database management systems. 4.Understand how logical views of data provide a customized support and improve data security. 5.Describe the tactical and strategic benefits of data warehouses, data marts, and data centers. 3-3Copyright 2010 John Wiley & Sons, Inc.

4. Learning Objectives cont’d 6. Describe transaction and analytic processing systems. 7.Explain how enterprise content management and electronic records management reduce cost, support business operations, and help companies meet their regulatory and legal requirements. Copyright 2010 John Wiley & Sons, Inc.3-4

5. Figure IT 7eU The Business Performance Management Cycle and IT Model Copyright 2010 John Wiley & Sons, Inc.3-5

6. Applebee’s International Learns & Earns Copyright 2010 John Wiley & Sons, Inc.3-6 Problem: Huge quantities of data in many Databases. Solution: Enterprise data warehouse implemented. Results: Improved profitability.

7. Figure 3.1 Applebee’s enterprise data warehouse and feedback loop. Copyright 2010 John Wiley & Sons, Inc.3-7

8. Copyright 2010 John Wiley & Sons, Inc.3-8 3.1 Data, Master Data, and Document Management

9. Uncertainty: A Constraint on Managers Copyright 2010 John Wiley & Sons, Inc.3-9 TransAlta Says Clerical Snafu Costs It $24 Million Sync or swim: who should blink first and why? First of two parts In sync: getting the supply chain act together: federal, industry players collaborate to improve healthcare delivery, reduce costs

10. Figure 3.2 Data life cycle. Copyright 2010 John Wiley & Sons, Inc.3-10

11. Analyzing Any Business Copyright 2010 John Wiley & Sons, Inc.3-11 Business analytics Fighting Click Fraud And Bots From The Heart Of Texas Math Will Rock Your World Competing on Analytics Competing on Analytics – HBR article by Thomas Davenport

12. Figure 3.3 Copyright 2010 John Wiley & Sons, Inc.3-12 Dow Jones industrial average (DJIA) for a single day in tabular display and graphical display.

13. Data Visualization Copyright 2010 John Wiley & Sons, Inc.3-13 FROM 3 Weeks to 3 Minutes - Ivy League School Finds Million Dollar Donor Deck: ADVIZOR frees up development managers to get the right answers quickly Visualization Gallery

14. Decision Support Systems Copyright 2010 John Wiley & Sons, Inc.3-14 Decision Support Systems – DSS (definition) Information Builders….. Hospitals Embrace Business Intelligence and Integration Technologies From Information Builders to Increase Revenue and Improve Patient Care Many Hospitals Use WebFOCUS and iWay Software to Propel More Than 100 Percent Growth for Information Builders in Healthcare Market

15. MDM Copyright 2010 John Wiley & Sons, Inc.3-15 Master Data Management (MDM) Master Data Management Operational versus Analytical Master Data Management Demystifying Master Data Management Data management's top eight stories of 2008 Human resources data analytics brings metrics to workforce management Would You Like Fries With That? And Does Cross-Selling Justify Master Data Management?

16. Master Data Entities Copyright 2010 John Wiley & Sons, Inc.3-16 10 Mistakes to Avoid When Writing an RFP for Master Data Management The What, Why, and How of Master Data Management Data Mart Does Not Equal Data Warehouse SUPPLY CHAIN ANALYTICS & DATA DISCOVERY

17. Figure 3.4. Model of an enterprise data warehouse. Copyright 2010 John Wiley & Sons, Inc.3-17 (Source: From Syncsort, synchsort.com. Used with permission.)

18. Table 3.2 Copyright 2010 John Wiley & Sons, Inc.3-18

19. Data Quality Copyright 2010 John Wiley & Sons, Inc.3-19 Quality of Data and Quality in ContextQuality of Data and Quality in Context – Article by David Loshin, September 18, 2008 Data Quality and Data ProfilingData Quality and Data Profiling – Article by David Loshin, December 11, 2008 Data Quality Example

20. Document Management Copyright 2010 John Wiley & Sons, Inc.3-20 Implementing Document and Record Management Systems as a part of your business continuity plan SurgiCenter of Baltimore Laserfiche locates patient records with surgical precision American Express American Express increases its commitment to excellent customer satisfaction with Cardiff TeleForm Captaris ® Alchemy ® : Document Management Software

21. Copyright 2010 John Wiley & Sons, Inc.3-20 3.2 File Management Systems

22. Figure 3.5 Example of primary and foreign keys. Copyright 2010 John Wiley & Sons, Inc.3-22

23. Figure 3.6 Hierarchy of data for a computer-based file. Copyright 2010 John Wiley & Sons, Inc.3-23

24. Figure 3.7 Indexed sequential access method. Copyright 2010 John Wiley & Sons, Inc.3-24

25. Figure 3.8 Copyright 2010 John Wiley & Sons, Inc.3-25 Computer-based files of this type cause problems such as redundancy, inconsistency, and data isolation.

26. Copyright 2010 John Wiley & Sons, Inc.3-26 3.3 Databases and Database Management Systems

27. Copyright 2010 John Wiley & Sons, Inc.3-27 Figure 3.9 (a) Centralized database. (b) Distributed database with complete or partial copies of the central database in more than one location.

28. Table 3.3 Copyright 2010 John Wiley & Sons, Inc.3-28

29. Figure 3.10 Copyright 2010 John Wiley & Sons, Inc.3-29 Database management system provides access to all data in the database.

30. Copyright 2010 John Wiley & Sons, Inc.3-30 3.4 Data Warehouses, Data Marts, and Data Centers

31. Figure 3.11 Data warehouse framework and views. Copyright 2010 John Wiley & Sons, Inc.3-31

32. Figure 3.12 Teradata Corp.’s enterprise data warehouse. Copyright 2010 John Wiley & Sons, Inc.3-32 (Source: Teradata Corporation [teradata.com], with permission.)

33. Table 3.4 Copyright 2010 John Wiley & Sons, Inc.3-33

34. Table 3.5 Copyright 2010 John Wiley & Sons, Inc.3-34

35. Copyright 2010 John Wiley & Sons, Inc.3-35 3.5 Enterprise Content Management

36. Figure 3.13 Copyright 2010 John Wiley & Sons, Inc.3-36 Electronic records management from creation to retention or destruction.

37. ERM Vendors – check these out! Copyright 2010 John Wiley & Sons, Inc.3-37 ACCUTRAC® SOFTWARE

38. Copyright 2010 John Wiley & Sons, Inc.3-38 3.6 Managerial Issues

39. Managerial Issues Reducing uncertainty. Cost-benefit issues & justification. Where to store data physically. Legal issues. Internal or external collection, storage, maintenance, & purging of databases of information. Disaster recovery. Data security & ethics. Privacy. Legacy systems. Data delivery. Copyright 2010 John Wiley & Sons, Inc.3-39

40. Copyright 2010 John Wiley & Sons, Inc. All rights reserved. Reproduction or translation of this work beyond that permitted in section 117 of the 1976 United States Copyright Act without express permission of the copyright owner is unlawful. Request for further information should be addressed to the Permission Department, John Wiley & Sons, Inc. The purchaser may make back-up copies for his/her own use only and not for distribution or resale. The Publisher assumes no responsibility for errors, omissions, or damages caused by the use of these programs or from the use of the Information herein. Copyright 2010 John Wiley & Sons, Inc.3-40