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.
Зміст
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
Про автора
Tony Fisher is President and CEO of Data Flux, a wholly owned subsidiary of SAS, that enables companies to analyze, improve, and control their data through an integrated technology platform. He has guided Data Flux 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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