Data Governance
Evidence you can produce in minutes, not weeks.
Governance fails when it is written as policy and never wired into the pipeline. We implement it as running infrastructure: lineage captured automatically, quality enforced at the boundary, ownership recorded where the data lives.
What we do
- Governance frameworksOwnership models, stewardship roles, decision rights and policy grounded in DAMA-DMBOK practice.
- Lineage & governance tracingColumn-level tracing from source system through every transformation to the final report field, with impact analysis before changes ship.
- Metadata management & cataloguingOpenMetadata and equivalents wired into pipelines so ownership, glossary, freshness and lineage stay current automatically.
- Data quality & observabilityAutomated validation, schema enforcement, anomaly detection and alerting on data correctness rather than job status alone.
- Master data managementEntity resolution, golden record design and survivorship rules for customers, counterparties, products and locations.
- Privacy impact assessment & DPIAProcessing registers, risk scoring, high-risk flagging and retention schedules aligned to GDPR and equivalent regimes.
Technologies
OpenMetadataOpenLineageGreat Expectationsdbt testsDAMA-DMBOKISO/IEC/IEEE 29148
Who usually owns the budget
CDO, Chief Risk & Compliance Officer, or a Head of Data preparing for an audit or a funding round.
What triggers the purchase
- An audit, regulator or investor has asked for evidence you cannot assemble quickly
- A schema change broke a downstream report nobody knew existed
- New privacy obligations require a defensible processing record
Is this the piece you need?
Twenty minutes on a call is usually enough to know whether this is the right starting point.