The Data Asset
How Smart Companies Govern Their Data for Business Success
(Sprache: Englisch)
An indispensable guide that shows companies how to treat data as a strategic assetOrganizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the...
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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.
Klappentext zu „The Data Asset “
An indispensable guide that shows companies how to treat data as a strategic assetOrganizations 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.
This book is divided into four parts: Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Success; and Technologies Required for Effective Data Quality and Data Governance. There will be case studies woven throughout the book as well as industry and expert quotes. This book will appear to the business and IT readers as it will combine the what it is/definition with the more practical "how to do it approach." The tentative contents is: Part One, Building the business case; (1) Risk mitigation; (2) Cost control; (3) Revenue optimization; Part Two, Data quality and data governance; (4) Undisciplined organizations; (5) Reactive organizations; (6) Proactive organizations; (7) Governed organizations; Part Three, 7-step program for success; (8) Step 1: Justify; (9) Step 2: Scope; (10) Step 3: Assess; (11) Step 4: Plan; (12) Step 5: Implement; (13) Step 6: Test; (14) Step 7: Communicate; Part Four: Technologies required for effective data quality and data governance; (15) Analysis technology; (16) Improvement technology; (17) Control technology.
Inhaltsverzeichnis zu „The Data Asset “
ForewordAcknowledgements
Introduction
Section 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
Section Two: The Data Governance Maturity Model
Chapter 5: Governing Your Data
Chapter 6: Undisciplined Organizations - A Disaster 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
Section Three: Utilizing People and Processes to Achieve a Quality Culture
Chapter 10: The Quality Culture
Chapter 11: People
Chapter 12: Processes
Section Four: Closing the Loop- Selecting the Right Technology for Your Organization
Chapter 13: Undisciplined Organizations - Discovering the Value of Data Quality Tools
Chapter 14: Reactive Organizations - Choose the Technology That Gets the Most from Your Applications
Chapter 15: Proactive Organizations - Bridging the Chasm and Becoming Proactive
Chapter 16: Governed Organizations - Moving Beyond Data to Business Process Automation
Glossary
Index
Autoren-Porträt von Tony Fisher
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.
Bibliographische Angaben
- Autor: Tony Fisher
- 2009, 1. Auflage, 240 Seiten, Maße: 15,7 x 23,1 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470462264
- ISBN-13: 9780470462263
Sprache:
Englisch
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