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Chapter 1 - Data Stewardship and Data Governance: How They Fit Together
Pages 1-24 - Book chapterAbstract only
Chapter 2 - Understanding the Types of Data Stewardship
Pages 25-37 - Book chapterAbstract only
Chapter 3 - Stewardship Roles and Responsibilities
Pages 39-64 - Book chapterAbstract only
Chapter 4 - Implementing Data Stewardship
Pages 65-92 - Book chapterAbstract only
Chapter 5 - Training the Business Data Stewards
Pages 93-104 - Book chapterAbstract only
Chapter 6 - Practical Data Stewardship
Pages 105-161 - Book chapterAbstract only
Chapter 7 - The Important Roles of Data Stewards
Pages 163-218 - Book chapterAbstract only
Chapter 8 - Measuring Data Stewardship Progress: The Metrics
Pages 219-228 - Book chapterAbstract only
Chapter 9 - Rating Your Data Stewardship Maturity
Pages 229-243 - Book chapterAbstract only
Chapter 10 - Big Data Stewardship and Data Lakes
Pages 245-255 - Book chapterAbstract only
Chapter 11 - Governing and Stewarding Your Data Using Data Domains
Pages 257-281 - Book chapterNo access
Appendix A - Example Definition and Derivation
Pages 283-284 - Book chapterNo access
Appendix B - Sample Training Plan Outlines
Pages 285-292 - Book chapterNo access
Appendix C - Class Words for Naming Business Data Elements
Pages 293-294 - Book chapterNo access
Index
Pages 295-299
About the book
Description
Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data—moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.
Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.
Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data—moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.
Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.
Key Features
- Includes an enhanced section on data governance/stewardship structure for companies that do business internationally, including the structure of business terms to account for country differences
- Outlines the advantages and disadvantages of "data domains," details on suggested data domains and data domain structures, as well as data governance by data domains
- Integrates data governance into Project methodology, defining roles on a project, adding Data Governance tasks to the Work Breakdown Structure, as well as advantages of working closely with the Project management Office
- Covers the data stewardship involved in implementing national and international data privacy regulations
- Includes an enhanced section on data governance/stewardship structure for companies that do business internationally, including the structure of business terms to account for country differences
- Outlines the advantages and disadvantages of "data domains," details on suggested data domains and data domain structures, as well as data governance by data domains
- Integrates data governance into Project methodology, defining roles on a project, adding Data Governance tasks to the Work Breakdown Structure, as well as advantages of working closely with the Project management Office
- Covers the data stewardship involved in implementing national and international data privacy regulations
Details
ISBN
978-0-12-822132-7
Language
English
Published
2021
Copyright
Copyright © 2021 Elsevier Inc. All rights reserved.
Imprint
Academic Press