Master Data Management & Governance
One trusted definition of each customer, product, supplier, and site, shared across ERP, CRM, and analytics, and maintained by the people who know the data.
What we deliver
- MDM strategy and operating model: domains, ownership, stewardship roles, and a realistic roadmap
- Matching and survivorship: deterministic and ML-assisted matching tuned on your records, with explainable merge rules
- Hub implementation: Informatica, Reltio, Profisee, Semarchy, or a platform-native build on your lakehouse
- Governance: business glossary, data catalog, policies, quality scorecards, and access controls
- Integration: syndication back to source systems and downstream analytics and AI
Why it matters for AI
Agents and LLM applications inherit the quality of the data they read. MDM gives them a single identity for each entity and a clear owner to escalate to, which is the difference between an assistant that is trusted and one that is switched off.
Typical engagements
- Customer 360 for financial services and retail
- Product and supplier master for manufacturing and distribution
- Provider and patient master for healthcare
- Reference data governance for regulated reporting