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Introduction. Part I: The Data Warehouse: Home for Your Data Assets. Chapter 1: What s in a Data Warehouse? Chapter 2: What Should You Expect from Your Data Warehouse? Chapter 3: Have It Your Way: The Structure of a Data Warehouse. Chapter 4: Data Marts: Your Retail Data Outlet. Part II: Data Warehousing Technology. Chapter 5: Relational Databases and Data Warehousing. Chapter 6: Specialty Databases and Data Warehousing. Chapter 7: Stuck in the Middle with You: Data Warehousing Middleware. Part III: Business Intelligence and Data Warehousing. Chapter 8: An Intelligent Look at Business Intelligence. Chapter 9: Simple Database Querying and Reporting. Chapter 10: Business Analysis (OLAP). Chapter 11: Data Mining: Hi-Ho, Hi-Ho, It s Off to Mine We Go. Chapter 12: Dashboards and Scorecards. Part IV: Data Warehousing Projects: How to Do Them Right. Chapter 13: Data Warehousing and Other IT Projects: The Same but Different. Chapter 14: Building a Winning Data Warehousing Project Team. Chapter 15: You Need What? When? Capturing Requirements. Chapter 16: Analyzing Data Sources. Chapter 17: Delivering the Goods. Chapter 18: User Testing, Feedback, and Acceptance. Part V: Data Warehousing: The Big Picture. Chapter 19: The Information Value Chain: Connecting Internal and External Data. Chapter 20: Data Warehousing Driving Quality and Integration. Chapter 21: The View from the Executive Boardroom. Chapter 22: Existing Sort-of Data Warehouses: Upgrade or Replace? Chapter 23: Surviving in the Computer Industry (and Handling Vendors). Chapter 24: Working with Data Warehousing Consultants. Part VI: Data Warehousing in the Not-Too-Distant Future. Chapter 25: Expanding Your Data Warehouse with Unstructured Data. Chapter 26: Agreeing to Disagree about Semantics. Chapter 27: Collaborative Business Intelligence. Part VII: The Part of Tens. Chapter 28: Ten Questions to Consider When You re Selecting User Tools. Chapter 29: Ten Secrets to Managing Your Project Successfully. Chapter 30: Ten Sources of Up-to-Date Information about Data Warehousing. Chapter 31: Ten Mandatory Skills for a Data Warehousing Consultant. Chapter 32: Ten Signs of a Data Warehousing Project in Trouble. Chapter 33: Ten Signs of a Successful Data Warehousing Project. Chapter 34: Ten Subject Areas to Cover with Product Vendors. Index.
Thomas C. Hammergren has been involved with business intelligence and data warehousing since the 1980s. He has helped such companies as Procter & Gamble, Nike, FirstEnergy, Duke Energy, AT&T, and Equifax build business intelligence and performance management strategies, competencies, and solutions. Alan R. Simon is a data warehousing expert and author of many books on data warehousing.