The Data Governance Guidebook and Playbook, by Kim Wienzierl
Implement and perform data governance on any scale using the book’s flexible and proven data governance framework.
Data governance (“The Principle”)
Data management (“The Practice”)
Types of data
Planning, strategy, and business context
Guiding principles for data management
Overview of the eight elements
The methodology
Organization
Policies
Procedures
Standards and definitions
Architecture
Data administration / controls
Metrics and reporting
Audits
Conclusion
This book is a culmination of decades of experience and trial and error implementations of data governance. There are many different ways to “do” data governance, so this is a consolidated framework that has been researched, developed, honed, piloted, and implemented at many different sizes of enterprises across many industries.
Mold the book’s flexible framework to jumpstart your data governance program. This book is a reference guide for Data Owners, Data Stewards, Data Custodians, Data Analysts, Application Developers, Database Administrators, Data Producers, and Data Consumers. Use it as a resource when you need to answer questions about data governance. It will guide you to successfully manage the creation, transformation, and usage of data owned by or in the care of your enterprise.
Kim Wienzierl was the Chief Data Officer for the State of Tennessee where she developed a strategy to modernize their data platform and was deploying a common data governance framework. Before that, she was an Assistant Vice President for four years at Pekin Insurance, where she modernized their data platforms, established an enterprise data warehouse, and improved operations with business service management. Before that, she was the Enterprise Information Management (EIM) Division Manager at Caterpillar Inc. She has over 35 years of experience in all aspects of IT. She has worked with some of the best data leaders known to the industry and has successfully executed their concepts.
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