Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance

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.

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

1 Data Stewardship and Data Governance: How They Fit Together 2 Understanding the Types of Data Stewardship 3 Data Stewardship Roles and Responsibilities 4 Implementing Data Stewardship 5 Training Business Data Stewards 6 Practical Data Stewardship 7 Important Roles of Data Stewards 8 Measuring Data Stewardship Progress: The Metrics 9 Rating Your Data Stewardship Maturity 10 Big Data Stewardship and Data Lakes 11 Governing and Stewarding your Data using Data Domains 12 Summing It All Up

Appendix A: Example Definition and Derivation B: Sample Training Plan Outlines