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Data Warehouse Design Solutions

Data Warehouse Design Solutions

Paperback

Edited by Michael Venerable, Edited by Christopher Adamson

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  • Publisher: John Wiley & Sons Inc
  • Format: Paperback | 544 pages
  • Dimensions: 187mm x 236mm x 31mm | 802g
  • Publication date: 27 July 1998
  • Publication City/Country: New York
  • ISBN 10: 047125195X
  • ISBN 13: 9780471251958
  • Sales rank: 831,633

Product description

"Each chapter is...a practice run for the way we all ought to design our data marts and hence our data warehouses."--Ralph Kimball, from the Foreword. Let the experts show you how to customize data warehouse designs for real business needs in Data Warehouse Design Solutions. To effectively design a data warehouse, you have to understand its many business uses. This guidebook shows you how business managers in different corporate functions actually use data warehouses to make decisions. You'll get a rich set of data warehouse designs that flow from realistic business cases. Two top experts show you how to customize your data warehouse designs for real--life business needs including: Sales and marketing Production and inventory management Budgeting and financial reporting Quality control Product delivery and fulfillment Strategic business analysis such as determining market share, rates of return on investment, and other key analytic ratios. CD--ROM includes All sample data warehouse designs with accompanying preformatted reports in HTML for specific business uses such as marketing, sales, and financial analysis.

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Author information

Chris Adamson has implemented data warehouses in a variety of industries. His customers include Fortune 500 companies, large and small businesses, government agencies, and tool vendors. He is currently a managing consultant at Sagent Technology. Mike Venerable has ten years of experience designing decision support solutions in numerous industries, and, in 1992, founded Talus, a respected data warehousing and client/server consulting company, which was aquired by Sagent Technology in 1998.

Table of contents

The Business--Driven Data Warehouse. Sales. Marketing. Fulfillment. Production. Inventory and Capacity. Quality. Budgets and Spending. Financial Reporting. Profitability. Knowledge and Intellectual Capital. Key Measures and Ratios. Presenting Information. Building an Enterprise Data Warehouse. Interviewing. Key Business Terms. Using the CD--ROM. Index.