Designing a Data Warehouse for CRM by Chris Todman 2000 Trade Paperback

$ 5.45

Author: Chris Todman Format: Trade Paperback gtin13: 9780130897121 Type: Textbook Dewey Edition: 21 Number of Pages: 352 Pages Illustrated: Yes Item Height: 0.9 in Subject: Databases / Data Warehousing Item Length: 9 in Publisher: Prentice Hall PTR LCCN: 00-051592 Synopsis: The complete guide to building tomorrows 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 Todays 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 worlds 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 *Choo, 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. Intended Audience: Scholarly & Professional ISBN-10: 0130897124 Language: English Publication Year: 2000 Item Weight: 19 Oz Publication Name: Designing a Data Warehouse : Supporting Customer Relationship Management Table Of Content: 1. Customer Relationship Management. The Business Dimension. Business Goals. Business Strategy. The Value Proposition. Customer Relationship Management. Summary. 2. An Introduction to Data Warehousing. Introduction. What Is a Data Warehouse? Dimensional Analysis. Building a Data Warehouse. Problems When Using Relational Databases. Summary. 3. Design Problems We Have to Face Up To. Dimensional Data Models. What Works for CRM. Summary. 4. The Implications of Time in Data Warehousing. The Role of Time. Problems Involving Time. Capturing Changes. First-Generation Solutions for Time. Variations on a Theme. Conclusions to the Review of First-Generation Methods. 5. The Conceptual Model. Requirements of the Conceptual Model. The Identification of Changes to Data. Dot Modeling. Dot Modeling Workshops. Summary. 6. The Logical Model. Logical Modeling. The Implementation of Retrospection. The Use of the Time Dimension. Logical Schema. Performance Considerations. Choosing a Solution. Frequency of Changed Data Capture. Constraints. Evaluation and Summary of the Logical Model. 7. The Physical Implementation. The Data Warehouse Architecture. CRM Applications. Backup of the Data. Archival. Extraction and Load. Summary. 8. Business Justification. The Incremental Approach. The Submission. Summary. 9. Managing the Project. Introduction. What Are the Deliverables? What Assumptions and Risks Should I Include? What Sort of Team Do I Need? Summary. 10. Software Products. Extraction, Transformation, and Loading. OLAP. Query Tools. Data Mining. Campaign Management. Personalization. Metadata Tools. Sorts. 11. The Future. Temporal Databases (Temporal Extensions). OLAP Extensions to SQL. Active Decision Support. External Data. Unstructured Data. Search Agents. DSS Aware Applications. Appendix A. Wine Club Temporal Classifications. Appendix B. Dot Model for the Wine Club. Appendix C. Logical Model for the Wine Club. Appendix D. Customer Attributes. References. Index. ISBN-13: 9780130897121 Dewey Decimal: 658.4/038/0285574 brand: Prentice Hall PTR LC Classification Number: QA76.9.D3T6 2001 Subject Area: Computers Item Width: 6.9 in

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Free Shipping On All Domestic Orders Home About View All Products Contact DESIGNING A DATA WAREHOUSE: SUPPORTING CUSTOMER By Chris Todman *Mint Condition* DESIGNING A DATA WAREHOUSE: SUPPORTING CUSTOMER RELATIONSHIP MANAGEMENT By Chris Todman **Mint Condition** Item specifics ISBN-10: 0130897124 UPC: 076092009771 Original Title: Designing A Data Warehouse: Supporting Customer Relationship Management Author: Chris Todman Format: Paperback Genre: Computers Publisher: Prentice Hall Publication Year: 2001 Number Of Pages: 352 Binding: Paperback Item Dimensions: 6.9x0.9x9 Inches Package Dimensions: 9.19x6.92x0.9 Inches Book is in Like New / near Mint Condition. Will include dust jacket if it originally came with one. Text will be unmarked and pages crisp. Satisfaction is guaranteed with every order. 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  1. This book is a fantastic resource for anyone looking to build a CRM-focused data warehouse. Chris Todman breaks down complex concepts clearly with practical insights. The mint condition copy arrived quickly with free shipping—great value for such a detailed guide. Highly recommended for IT professionals and data analysts!

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