Enterprise Knowledge Management

The Data Quality Approach

By:

David Loshin

Format:

Hardback

Series:

The Morgan Kaufmann Series in Data Management Systems

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Description

Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem businesses recognize and are working feverishly to solve. Enterprise Knowledge Management: The Data Quality Approach presents an easily adaptable methodology for defining, measuring, and improving data quality. Author David Loshin begins by presenting an economic framework for understanding the value of data quality, then proceeds to outline data quality rules and domain-and mapping-based approaches to consolidating enterprise knowledge. Written for both a managerial and a technical audience, this book will be indispensable to the growing number of companies committed to wresting every possible advantage from their vast stores of business information.

Author Biography:

David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including "Master Data Management" (2008) and "Business Intelligence - The Savvy Manager's Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.

Release date Australia

January 26th, 2001

Author

David Loshin

Audience

Professional & Vocational

Country of Publication

United States

Imprint

Morgan Kaufmann Publishers In

Pages

512

Publisher

Elsevier Science & Technology

Series

The Morgan Kaufmann Series in Data Management Systems

Dimensions

178x235x29

ISBN-13

9780124558403

Product ID

2371058

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