Enterprise Knowledge Management

1st Edition

The Data Quality Approach

Authors: David Loshin
Hardcover ISBN: 9780124558403
eBook ISBN: 9780080505732
Imprint: Morgan Kaufmann
Published Date: 17th January 2001
Page Count: 493
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Institutional Access

Table of Contents


Chapter 1 - Introduction Data Quality Horror Stories

Knowledge Management and Data Quality

Reasons for Caring about Data Quality

Knowledge Management and Business Rules

Structure of this Book

Chapter 2 - Who Owns Information? The Information Factory

Complicating Notions

Responsibilities of Ownership

Ownership Paradigms

Centralizing, Decentralization and Data Ownership Policies

Ownership and Data Quality


Chapter 3 - Data Quality in Practice Data Quality Defined: Fitness for Use

The Quality Improvement Program

Data Quality and Operations

Data Quality and Databases

Data Quality and the Data Warehouse

Data Mining

Data Quality and Electronic Data Interchange

Data Quality and the World Wide Web


Chapter 4 - Economic Framework of Data Quality and the Value Proposition Evidence of Economic Impact

Data Flows and Information Chains

Examples of Information Chains


Economic Measures

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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.

Key Features

@introbul:Key Features @bul:* Expert advice from a highly successful data quality consultant

  • The only book on data quality offering the business acumen to appeal to managers and the technical expertise to appeal to IT professionals
  • Details the high costs of bad data and the options available to companies that want to transform mere data into true enterprise knowledge
  • Presents conceptual and practical information complementing companies' interest in data warehousing, data mining, and knowledge discovery


IT, Database, and Business Managers


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© Morgan Kaufmann 2001
Morgan Kaufmann
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About the Authors

David Loshin Author

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.

Affiliations and Expertise

President, Knowledge Integrity Incorporated, Silver Spring, MD, USA