The Data Asset. How Smart Companies Govern Their Data for Business Success. Wiley and SAS Business Series

  • ID: 2241657
  • Book
  • 240 Pages
  • John Wiley and Sons Ltd
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"If we accept that the key assets of today′s organizations lie in data, information, and human intellectual capital, then we must also recognize that harnessing these assets requires a relentless focus on data quality and data governance. I simply don′t see another reasonable alternative for a business looking to exploit this latent value. Tony Fisher′s book manages to put forward this case in a compelling way without the usual vendor recourse to technology for the sake of technology."

Ian Charlesworth, Practice Leader, Ovum Software

"Especially for businesses with massively complex day–to–day marketing risk, and channel decisioning, until data quality is understood as having the potential to be the deciding factor in whether a business succeeds or fails against its competition, it will always be seen as a support function. The Data Asset positions data quality as being that deciding factor. The Data Asset has taken data quality beyond an IT function to the C–level, which, unless this is done, never seems to get accomplished."
Peter Harvey, CEO, Intellidyn

"The phrase ′data as a corporate asset′ has been adopted by business and IT professionals alike. Finally, there′s a book that deconstructs the phrase and gets to the meat of what matters: information as a business enabler. Tony′s book not only justifies a newfound investment in data, it explains why the time for formal and sustained information management has come. And not a moment too soon."
Jill Dyché and Evan Levy, cofounders of Baseline Consulting and authors of Customer Data Integration

"In this book, Tony Fisher has provided an articulate presentation of the wide range of business impacts attributable to the absence of organizational data quality management, and then provides a practical guide for baselining and improving enterprise data governance. Tony′s years of experience in helping organizations have infused this text with many valuable recommendations that will lead to continual organizational maturation and improvement in the value of the enterprise data asset."
David Loshin, President of Knowledge Integrity, Inc., and author of Master Data Management and Enterprise Knowledge Management

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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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Tony Fisher
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