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

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.

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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.

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Product Details

  • ISBN-13: 9780470462263
  • Publisher: Wiley
  • Publication date: 6/22/2009
  • Series: Wiley and SAS Business Series , #24
  • Edition number: 1
  • Pages: 240
  • Sales rank: 775,597
  • Product dimensions: 6.20 (w) x 9.10 (h) x 1.00 (d)

Meet 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.

Acknowledgments.

Introduction.

PART ONE: BUILDING THE BUSINESS CASE FOR DATA GOVERNANCE.

CHAPTER 1 Making the Case for Better Data.

CHAPTER 2 Risk Mitigation: How Quality Data Keeps Your Company Out of Trouble.

CHAPTER 3 Controlling Costs with Accurate and Reliable Data.

CHAPTER 4 Optimizing Revenue with Quality Data.

PART TWO: THE DATA GOVERNANCE MATURITY MODEL.

CHAPTER 5 Governing Your Data.

CHAPTER 6 Undisciplined Organizations: Disasters Waiting to Happen.

CHAPTER 7 Reactive Organizations: Trying to Get Beyond Crisis Mode.

CHAPTER 8 Proactive Organizations: Reducing Risk, Avoiding Uncertainty.

CHAPTER 9 Governed Organizations: Trust in Data Pays Multiple Benefits.

PART THREE: UTILIZING PEOPLE AND PROCESSES TO ACHIEVE A QUALITY CULTURE.

CHAPTER10 The Quality Culture.

CHAPTER11 People.

CHAPTER12 Processes.

PART FOUR: CLOSING THE LOOP: SELECTING THE RIGHT TECHNOLOGY FOR YOUR ORGANIZATION.

CHAPTER13 Undisciplined Organizations: Discovering the Value of Data Quality Tools.

CHAPTER14 Reactive Organizations: Choose the Technology That Gets the Most from Your Applications.

CHAPTER15 Proactive Organizations: Bridging the Chasm and Becoming Proactive.

CHAPTER16 Governed Organizations: Moving Beyond Data to Business Process Automation.

Glossary.

Index.

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