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Capability · Data engineering & MDM

One customer. One golden record.

Master data is where most AI programmes quietly fail. If the customer record is duplicated, conflicting or unowned, every agent downstream inherits the mess. We build the governed foundation first.

What we build

A foundation the business owns, not the integrator.

Microsoft Fabric for the data engineering layer and Profisee for MDM: source onboarding, match rules, survivorship policy, hierarchy management and the stewardship workflow, designed with your data owners rather than handed to them.

One evidence layer serving three workflows
Four parts

From scattered sources to a record you can build on.

01

Onboard the sources

Every system holding customer data connected and profiled on Fabric, with lineage recorded.

02

Score quality at the door

Feeds checked against domain rules; bad records quarantined, never silently deleted. Quality published per source.

03

Match and survive

Agents propose duplicates and the surviving record, field by field, showing which source won and why.

04

Steward at scale

Stewards approve, edit or reject. A copilot prioritises the queue by business impact.

Measured on

What the data owner sees every month.

Duplicate rate in the golden record

Records processed per steward day

Customer onboarding cycle time

First-time pass rate by source

Exception backlog age

Downstream AI use cases unblocked

Let's talk

Tell us the number you need to move.

A 45-minute working session with an operator who has run the kind of work you are describing. You will get an honest read on where your programme stands and what it would take to move it.