Designing a Data Warehouse - Supporting Customer Relationship Management

 
9780130897121: Designing a Data Warehouse - Supporting Customer Relationship Management

Today's next-generation data warehouses are being built with a clear goal: to maximize the power of Customer Relationship Management. To make CRM-focused data warehousing work, IT professionals need new techniques, and new methodologies. In this book, Dr. Chris Todman delivers the first start-to-finish methodology for defining, designing, and implementing CRM-focused data warehouses. Designing Data Warehouses: Supporting Customer Relationship Management starts by identifying critical design challenges that are unique to CRM-focused data warehousing. In the context of CRM, Todman reviews data warehouse conceptual models, logical models, and physical implementation, and focuses on the crucial implications of time in data warehouse modeling and querying. You'll discover how to estimate the ROI of CRM-focused data warehousing in advance; manage data warehouse projects more effectively; and select the right software for loading, extraction, transformation, querying, data mining, campaign management, personalization, and metadata. Finally, Todman previews the future of data warehousing, covering temporal databases, OLAP SQL extensions, active decision support, the integration of external and unstructured data, next-generation search agents, and more.

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From the Back Cover:

The complete guide to building tomorrow's CRM-focused data warehouses.

  • A complete methodology for building CRM-focused data warehouses
  • Planning, ROI, conceptual and logical models, physical implementation, project management, and beyond
  • For database developers, architects, consultants, project managers, and decision-makers

Today's next-generation data warehouses are being built with a clear goal: to maximize the power of Customer Relationship Management. To make CRM-focused data warehousing work, you need new techniques, and new methodologies. In this book, Dr. Chris Todman—one of the world's leading data warehouse consultants—delivers the first start-to-finish methodology for defining, designing, and implementing CRM-focused data warehouses. Todman covers all this, and more:

  • Critical design challenges unique to CRM-focused data warehousing
  • A new look at data warehouse conceptual models, logical models, and physical implementation
  • The crucial implications of time in data warehouse modeling and querying
  • Project management: deliverables, assumptions, risks, and team-building—including a full breakdown of work
  • Estimating the ROI of CRM-focused data warehouses up front
  • Choosing software for loading, extraction, transformation, querying, data mining, campaign management, personalization, and metadata
  • DW futures: temporal databases, OLAP SQL extensions, active decision support, integrating external and unstructured data, search agents, and more

If you want to leverage the full power of your CRM system, you need a data warehouse designed for the purpose. One book shows you exactly how to build one: Designing Data Warehouses by Dr. Chris Todman.

About the Author:

DR. CHRIS TODMAN has, for the last decade, specialized in data warehousing projects throughout the telecommunications, financial services, automotive and utilities industries. During the past five years he has served as Hewlett-Packard's UK Data Warehouse Practice Manager. An IT professional for more than 20 years, Todman earned a Ph.D. based in part on his advanced research into data warehousing.

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Book Description Pearson Education (US), United States, 2001. Paperback. Book Condition: New. New.. 233 x 176 mm. Language: English . Brand New Book. Today s next-generation data warehouses are being built with a clear goal: to maximize the power of Customer Relationship Management. To make CRM-focused data warehousing work, IT professionals need new techniques, and new methodologies. In this book, Dr. Chris Todman delivers the first start-to-finish methodology for defining, designing, and implementing CRM-focused data warehouses. Designing Data Warehouses: Supporting Customer Relationship Management starts by identifying critical design challenges that are unique to CRM-focused data warehousing. In the context of CRM, Todman reviews data warehouse conceptual models, logical models, and physical implementation, and focuses on the crucial implications of time in data warehouse modeling and querying. You ll discover how to estimate the ROI of CRM-focused data warehousing in advance; manage data warehouse projects more effectively; and select the right software for loading, extraction, transformation, querying, data mining, campaign management, personalization, and metadata.Finally, Todman previews the future of data warehousing, covering temporal databases, OLAP SQL extensions, active decision support, the integration of external and unstructured data, next-generation search agents, and more. Bookseller Inventory # AAS9780130897121

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Book Description Pearson Education (US), United States, 2001. Paperback. Book Condition: New. New.. 233 x 176 mm. Language: English . Brand New Book. Today s next-generation data warehouses are being built with a clear goal: to maximize the power of Customer Relationship Management. To make CRM-focused data warehousing work, IT professionals need new techniques, and new methodologies. In this book, Dr. Chris Todman delivers the first start-to-finish methodology for defining, designing, and implementing CRM-focused data warehouses. Designing Data Warehouses: Supporting Customer Relationship Management starts by identifying critical design challenges that are unique to CRM-focused data warehousing. In the context of CRM, Todman reviews data warehouse conceptual models, logical models, and physical implementation, and focuses on the crucial implications of time in data warehouse modeling and querying. You ll discover how to estimate the ROI of CRM-focused data warehousing in advance; manage data warehouse projects more effectively; and select the right software for loading, extraction, transformation, querying, data mining, campaign management, personalization, and metadata.Finally, Todman previews the future of data warehousing, covering temporal databases, OLAP SQL extensions, active decision support, the integration of external and unstructured data, next-generation search agents, and more. Bookseller Inventory # AAS9780130897121

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