Enterprise Knowledge Management: The Data Quality Approach

by David Loshin

Today, companies capture and store tremendous amounts of information about every aspect of their 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 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.

512 pages, Hardcover

First published January 1, 2001

Reviews

[Patti · Rating 3 out of 5]

If you're ever in charge of putting together a data quality program (or portions thereof), I found this to be one of the best references.

[Bernd · Rating 3 out of 5]

A lot of common sense statements, but relevant. More for the data quality rookie/business manager than the data analyst who most likely has seen the patterns described already.