Data Management & Governance

Governance becomes useful when decisions have owners and quality controls sit inside delivery. We assess the data estate, define accountability, map lineage, establish shared definitions, and prioritize remediation around the systems and decisions carrying the most institutional risk.

Areas we cover

Data strategy & maturityGovernance operating modelsData quality & remediationMetadata & lineageMigration readiness