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Practitioner's Guide to Operationalizing Data Governance
About this book
Discover what does—and doesn't—work when designing and building a data governance program
In A Practitioner's Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on.
Ideal for companies trying to resolve a wide variety of issues around data governance, this book:
- Offers a straightforward starting point for companies just beginning to think about data governance
- Provides solutions when company employees and leaders don't—for whatever reason—trust the data the company has
- Suggests proven strategies for getting a data governance program that's gone off the rails back on track
Complete with visual examples based in real-world case studies, A Practitioner's Guide to Operationalizing Data Governance will earn a place in the libraries of information technology executives and managers, data professionals, and project managers seeking a one-stop resource to help them deliver practical data governance solutions.
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Information
Table of contents
- Cover
- Table of Contents
- Wiley and SAS Business Series
- Title Page
- Copyright
- Dedication
- Acknowledgments
- CHAPTER 1: Introduction
- CHAPTER 2: Rethinking Data Governance
- CHAPTER 3: Data Governance and Data Management
- CHAPTER 4: Priorities
- CHAPTER 5: Common Starting Points
- CHAPTER 6: Data Governance Planning
- CHAPTER 7: Organizational Framework
- CHAPTER 8: Roles and Responsibilities
- CHAPTER 9: Operating Procedures
- CHAPTER 10: Communication
- CHAPTER 11: Measurement
- CHAPTER 12: Roadmap
- CHAPTER 13: Policies
- CHAPTER 14: Data Governance Maturity
- About the Author
- Glossary of Terms
- Index
- End User License Agreement