An evidence-based answer to a governance tooling decision
Enterprise data quality strategy and a working Microsoft Purview prototype — so the decision was made on evidence, not on a vendor deck.
Where the engagement started
A global manufacturer needed to choose its data governance tooling — a decision that would shape years of investment. Rather than compare brochures, the question we started with: what does the organisation actually need its governance tooling to do, and can the leading candidate prove it on the client's own data?
What we designed and delivered
A data quality management assessment
A structured view of the organisation's data quality practices, gaps and priorities — the requirements the tooling would have to serve.
A working Purview prototype
Microsoft Purview stood up against real client data and real scenarios — catalogue, classification and lineage tested where brochures can't reach.
An evidence pack for the decision
Findings, trade-offs and a costed recommendation — a decision the client could defend internally, because it was earned, not assumed.
How the value shows up
A de-risked decision
Tooling chosen on demonstrated fit, with the gaps known before the contract was signed.
Requirements that outlive the tool
A quality framework defined independently of any vendor — reusable whatever the stack becomes.
Weeks, not quarters
A bounded, evidence-first engagement — proof that big decisions don't need long programmes.
Back to selected work.