Data Stewardship (2nd Ed.) An Actionable Guide to Effective Data Management and Data Governance
Auteur : Plotkin David
- 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
Date de parution : 11-2020
Ouvrage de 322 p.
19x23.4 cm
Thèmes de Data Stewardship :
Mots-clés :
Asset; Big data; Business; Business Data Steward; Business function; Business glossary; Business metadata; Business rule; Communications; Critical success factors; Data Domain; Data Domain Council; Data Governance Board; Data Governance Program Office; Data Quality; Data Steward; Data Stewards; Data Stewardship; Data lake; Data quality; Dimension; Disciplines; Domain; Enterprise Data Steward; Executive Steering Committee; Fragmented results; Framework; Gap; Glossary; Governed data; Hierarchy; Holistic approach; Identity resolution; Issue; Lead Data Steward; Level; Lineage; Log; Logical grouping; Logistics; Master data management; Maturity; Measure; Metadata management; Metrics; Operational; Operational Data Steward; Organization; Policies; Policy; Portal; Privacy; Procedure; Procedures; Process; Processes; Project; Project Data Steward; Reference data; Remediation; Repeatable; Repository; Responsibilities; Results; Roadmap; Roles; Rules; Skills; Standards; Stewardship; Structure; Support; Technical; Technical Data Steward; Training; Unstructured data; Value; Wiki; Work; Work groups; Workflow; Zone