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.

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

Readership

IT, Database, and Business Managers

Table of Contents

Preface 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 Summary 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 Summary Chapter 4 - Economic Framework of Data Quality and the Value Proposition Evidence of Economic Impact Data Flows and Information Chains Examples of Information Chains Impacts Economic Measures

Details

No. of pages:
493
Language:
English
Copyright:
© 2001
Published:
Imprint:
Morgan Kaufmann
Print ISBN:
9780124558403
Electronic ISBN:
9780080505732

About the editor

David Loshin

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.