The Data Asset: How Smart Companies Govern Their Data for Business Success

by Tony Fisher

Overview

An indispensable guide that shows companies how to treat data as a strategic asset

Organizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset.

Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Success; and Technologies Required for Effective Data Quality and Data Governance and, within these areas, covers

• Risk mitigation
• Cost control
• Revenue optimization
• Undisciplined and reactive organizations
• Proactive organizations
• Analysis, improvement, and control technology

Whether you're a business manager or an IT professional, The Data Asset reveals the methodology and technology needed to approach successful data quality and data governance initiatives on an enterprise scale.

Product Details

ISBN-13:	9780470462263
Publisher:	Wiley
Publication date:	06/22/2009
Series:	Wiley and SAS Business Series , #24
Pages:	240
Product dimensions:	6.20(w) x 9.10(h) x 1.00(d)

About the Author

Tony Fisher is President and CEO of DataFlux, a wholly owned subsidiary of SAS, that enables companies to analyze, improve, and control their data through an integrated technology platform. He has guided DataFlux through tremendous growth as it became a market-leading provider of data quality and data integration solutions and speaks throughout the world on emerging trends in data quality, data integration, and master data management, as well as how better management of data leads to business optimization.

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Table of Contents

Fore! word, by Ron Powell vii

Acknowledgments xi

Introduction xv

Part One Building the Business Case for Data Governance 1

Chapter 1 Making the Case for Better Data 3

Chapter 2 Risk Mitigation: How Quality Data Keeps Your Company Out of Trouble 19

Chapter 3 Controlling Costs with Accurate and Reliable Data 31

Chapter 4 Optimizing Revenue with Quality Data 47

Part Two The Data Governance Maturity Model 61

Chapter 5 Governing Your Data 63

Chapter 6 Undisciplined Organizations: Disasters Waiting to Happen 77

Chapter 7 Reactive Organizations: Trying to Get Beyond Crisis Mode 87

Chapter 8 Proactive Organizations: Reducing Risk, Avoiding Uncertainty 97

Chapter 9 Governed Organizations: Trust in Data Pays Multiple Benefits 111

Part Three Utilizing People and Processes to Achieve a Quality Culture 119

Chapter 10 The Quality Culture 121

Chapter 11 People 129

Chapter 12 Processes 143

Part Four Closing the Loop: Selecting the Right Technology for Your Organization 163

Chapter 13 Undisciplined Organizations: Discovering the Value of Data Quality Tools 165

Chapter 14 Reactive Organizations: Choose the Technology That Gets the Most from Your Applications 181

Chapter 15 Proactive Organizations: Bridging the Chasm and Becoming Proactive 191

Chapter 16 Governed Organizations: Moving Beyond Data to Business Process Automation 201

Glossary 209

Index 213