Data Management.
Catalogue, MDM, quality, lineage and ownership — the unglamorous layer that decides whether your data programme delivers or dies.
Ownership before tooling.
Most data-management programmes fail because they buy a catalogue before deciding who owns data. We start with accountability — data domains, data-product owners, stewards — then pick the tools that support the operating model, not the other way around.
Our framework is DAMA-DMBOK aligned, adapted for real-world delivery. Pragmatic, not academic.
Where we help.
Data catalogue & lineage
Automated discovery, column-level lineage, business glossary, access review.
Master Data Management
Customer, party, product, location — with survivorship rules, stewardship workflow, match-merge review.
Data quality
Expectations-as-code, freshness SLAs, incident workflow, quality scorecards by data product.
Data ownership & stewardship
Domains, owners, stewards, escalation — and the forums that make it stick.
Privacy & access
Row / column / object-level access, PII discovery, DSAR automation, purpose limitation.
Data literacy
Role-based training, office hours, self-service guardrails.
Small, sharp, sequenced.
Assess
Health check across catalogue, MDM, quality, privacy, literacy.
Design
Target operating model, tooling recommendation, backlog.
Land
One domain at a time — prove value before scaling.
Embed
Governance council, metrics, continuous improvement.
- ✓Health-check reportMaturity baseline across DMBOK dimensions.
- ✓Operating modelDomains, owners, stewards, rituals.
- ✓Catalogue rolloutTool live, first domain catalogued, business glossary.
- ✓Quality frameworkExpectations-as-code, alerting, scorecards.
- ✓MDM foundationMaster entity, survivorship, stewardship workflow.
- ✓Training & enablementRole-based paths for owners, stewards, consumers.
Tools & frameworks we use.
A real engagement.
Council — DMBOK maturity: Level 1 → Level 3 in 11 months.
Phased programme to stand up catalogue (Purview), quality (Great Expectations) and domain-based ownership across 14 service areas. Data incidents down 64%; FOI response time down 71%.
Read full case study