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Data Stewardship

An Actionable Guide to Effective Data Management and Data Governance

Paperback Engels 2020 9780128221327
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Samenvatting

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.

Specificaties

ISBN13:9780128221327
Taal:Engels
Bindwijze:paperback
Aantal pagina's:322
Druk:2
Verschijningsdatum:6-11-2020
Hoofdrubriek:IT-management / ICT
ISSN:

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Inhoudsopgave

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

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