Designing Data Governance Framework
summary
Argues that organisations must treat data as a strategic asset and shows a concrete governance blueprint: set up a governance office with legislative / judicial / executive functions, choose a model (centralized, replicated or federated), deploy an online portal, a business glossary + metadata lineage repository, workflow and document tools, and a scorecard that measures data risk reduction in economic terms. Cites KPMG numbers — 7% satisfied versus 72% still challenged — and prescribes incremental rollout, defined owners, and iterative embedding until metrics show reduced risk.
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chapters (7)
- 0:00Start
- 9:59DATA MANAGEMENT PRINCIPLES
- 15:20DATA GOVERNANCE ORGANIZATION
- 18:32DATA GOVERNANCE MODEL TYPES
- 22:36DATA GOVERNANCE ACTIVITIES
- 29:11IMPLEMENTATION GUIDELINES
- 32:03DATA GOVERNANCE REQUIREMENTS
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