Data Governance Framework
Establish enterprise ownership, policy and accountability for data as a managed asset.
Methodology
Operating model defining data domains, owners, stewards, policies, standards and a governance forum that approves and enforces them.
Components
Data domains & ownership; Data stewardship; Policy & standards; Data governance council; Issue & change management; Compliance & assurance.
Governance
Board/CDO sponsor; Data Governance Council; domain owners; data stewards (1st line); data office (2nd line); audit (3rd line). L1 Initial L2 Developing L3 Defined L4 Managed L5 Optimised Ad hoc Basic, siloed Standardised & Quantified & integrated Predictive & embedded governed
Maturity levels
Implementation roadmap
Diagnose (assess maturity) → Design (tailor framework & governance) → Build (policies, standards, controls, pipelines) → Embed (training, culture, adoption) → Assure (test, benchmark, re-score).
Deliverables
Framework document, governance & RACI, policy/standard templates, maturity score & roadmap, board reporting pack.
Advisory opportunities
Capital allocation for data; Data office build; Stewardship enablement.
Across the Data & AI ecosystem
Knowledge graph · 14 relations