Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010222461 | QA76.9.D3 F57 2009 | Open Access Book | Book | Searching... |
Searching... | 30000010222460 | QA76.9.D3 F57 2009 | Open Access Book | Book | Searching... |
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Summary
Summary
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
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.
Author Notes
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.
Table of Contents
| Fore! Word | p. vii |
| Acknowledgments | p. xi |
| Introduction | p. xv |
| Part 1 Building the Business Case for Data Governance | p. 1 |
| Chapter 1 Making the Case for Better Data | p. 3 |
| Chapter 2 Risk Mitigation: How Quality Data Keeps Your Company Out of Trouble | p. 19 |
| Chapter 3 Controlling Costs with Accurate and Reliable Data | p. 31 |
| Chapter 4 Optimizing Revenue with Quality Data | p. 47 |
| Part 2 The Data Governance Maturity Model | p. 61 |
| Chapter 5 Governing Your Data | p. 63 |
| Chapter 6 Undisciplined Organizations: Disasters Waiting to Happen | p. 77 |
| Chapter 7 Reactive Organizations: Trying to Get Beyond Crisis Mode | p. 87 |
| Chapter 8 Proactive Organizations: Reducing Risk, Avoiding Uncertainty | p. 97 |
| Chapter 9 Governed Organizations: Trust in Data Pays Multiple Benefits | p. 111 |
| Part 3 Utilizing People and Processes to Achieve a Quality Culture | p. 119 |
| Chapter 10 The Quality Culture | p. 121 |
| Chapter 11 People | p. 129 |
| Chapter 12 Processes | p. 143 |
| Part 4 Closing the Loop: Selecting the Right Technology for Your Organization | p. 163 |
| Chapter 13 Undisciplined Organizations: Discovering the Value of Data Quality Tools | p. 165 |
| Chapter 14 Reactive Organizations: Choose the Technology That Gets the Most from Your Applications | p. 181 |
| Chapter 15 Proactive Organizations: Bridging the Chasm and Becoming Proactive | p. 191 |
| Chapter 16 Governed Organizations: Moving Beyond Data to Business Process Automation | p. 201 |
| Glossary | p. 209 |
| Index | p. 213 |
