Know what data you have, what it means, and who can touch it.
Microsoft Purview puts a catalog, lineage, classification, and access policy over your whole estate - Fabric, Azure, and beyond. We implement it so governance is something the platform enforces, not something a committee requests.
What Purview actually does for you
Governance tends to fail as policy documents. It works as platform behavior — four capabilities that run whether or not anyone remembers the policy.
Catalog
Every dataset registered, described, and searchable. People find governed data before they rebuild it.
Classification
Sensitive data — personal, financial, commercial — labelled automatically, so protection follows the data wherever it's copied.
Lineage
Where every number comes from, source to dashboard. Impact analysis before a change instead of an outage after one.
Access policy
Who sees what, decided once by policy and enforced everywhere — including by AI agents asking on a user's behalf.
The same governance, wherever your data runs
This service is shared between our Fabric and Azure practices deliberately — one Purview implementation should cover both, or you end up governing the estate in halves.
Governing the lakehouse
Fabric items — lakehouses, warehouses, semantic models, reports — register in Purview automatically. The work is making the metadata meaningful: domains, owners, endorsement, and sensitivity labels that flow into Power BI.
- Domain and workspace structure mapped to business ownership
- Endorsement rules — what "certified" means and who grants it
- Sensitivity labels inherited from OneLake through to report export
- Lineage from pipeline to visual, kept accurate as the estate grows
Governing the wider estate
Azure estates are older and messier: SQL databases, Synapse, ADLS, plus on-prem sources. Here the work starts with scanning and classification — building the map — then wiring access policy over what the map reveals.
- Scans across Azure SQL, Synapse, ADLS, and on-prem via integration runtime
- Automated classification of personal and financial data
- Glossary terms linked to physical columns — meaning attached to data
- DevOps and self-service access policies replacing ticket queues
Map first, then govern what matters most
Connect the sources and let Purview build the inventory. Most organizations find data they forgot they had.
Find where sensitive data actually lives, and rank domains by risk and by how many decisions depend on them.
Owners, glossary, quality expectations, and access policy for the datasets that matter most — not all of them at once.
Stewardship roles and a review cadence with your team, so the catalog stays true after we leave.
Purview doesn't create governance. It enforces governance you've decided on.
The tool is the easy half. The decisions — who owns customer data, what "restricted" means, who approves access — are the hard half, and no scanner makes them for you. Our implementation includes facilitating those decisions, because a catalog full of unowned data is just a better-organized mess.
See where your governance gaps are
A short assessment helps identify your highest-risk data assets, governance gaps, and the quickest path to implementing Microsoft Purview.