Data Foundation
Master Data Management & Governance
Overview
Master data is where most data and AI programmes quietly fail. We make the core entities of your business trustworthy, and keep them that way with stewardship your people can actually run.
Outcomes we measure
- Duplicate and conflicting record rates
- Time to onboard a customer, product or supplier
- Stewardship backlog and resolution time
- Policy coverage across critical data elements
Problems we solve
Sound familiar?
- 01
The same customer exists five times across ERP, CRM and billing, each with a different address.
- 02
Product data is maintained in spreadsheets and emailed between teams.
- 03
Auditors ask who changed a record and why, and nobody can answer quickly.
- 04
AI and analytics projects stall because nobody agrees on what a customer is.
What we deliver
Concrete deliverables, not slideware.
Golden-record design
Domain models, match and merge rules, survivorship and hierarchy management for your core entities.
MDM platform implementation
Configuration and integration of the MDM hub — or a lean, warehouse-native approach where that fits better.
Stewardship workflows
Queues, approvals and data-quality scorecards so business owners can fix issues at the source.
Governance operating model
Roles, policies, critical data elements, catalog and lineage — audit-ready, not shelfware.
How it works
From first call to production.
- 01
Domain discovery
Profile the source systems, map the entity landscape and agree what good looks like.
2–3 weeks
- 02
Model and rules
Design the golden record, match rules and survivorship with your data owners.
2–4 weeks
- 03
Implement and integrate
Stand up the hub, connect upstream and downstream systems, and migrate history.
6–12 weeks per domain
- 04
Steward and improve
Stewardship queues, quality scorecards and governance routines your team runs.
Ongoing
Tech & frameworks
Tools we use — in your stack.
- Informatica MDM
- Reltio
- Profisee
- Microsoft Purview
- Collibra
- Unity Catalog
- dbt
- Snowflake
- Databricks
Related projects
Where we've done this.
Case studies
Case studies for this service are being prepared. Ask us for references on a call.
FAQ
Frequently asked questions
Data Foundation
Related services
Data Engineering & Platforms
Lakehouse and warehouse platforms, streaming and batch pipelines, with orchestration, testing and observability built in.
Cloud Solutions
Secure landing zones, migrations and cost-governed data platforms on AWS, Azure and GCP.
Scope it with a senior practitioner
Book a 45-minute readiness call.
Where you are, what to fix first, and what it would take.