Status quo · late 2026
What has changed — and why it matters now
How we approach it
Our method for Data Governance
01Operating modelDomains, owners, stewards, councils — federated governance sized to you.
02Catalogue & classifyAutomated discovery, sensitivity labels, glossary, lineage across the estate.
03ProtectAccess policies, masking, encryption, DLP tied to classification.
04Quality & contractsRules, scores, data contracts and SLAs for data products.
05Lifecycle & complianceRetention, deletion, sovereignty, GDPR and AI Act evidence.
In depth
Governance capabilities
Discovery & catalogue
Purview Data Map, Unity Catalog, Dataplex, Glue, Collibra.
Classification & labelling
Auto-classification, sensitivity labels inherited into Fabric, Power BI and M365.
Lineage
Column-level lineage from source to dashboard to AI index.
Policy enforcement
Attribute-based access, row/column security, DLP, DSPM findings.
Data quality
Profiling, rules, scorecards, incident workflow.
What you get
Deliverables
Data cataloguesAccess controlsSensitivity labelsPolicy enforcementCompliance mappingSecure data lifecycle
Technology-agnostic
Platforms we work across
We design for the outcome first and choose the platform second — across Microsoft, AWS and Google Cloud, and every major AI provider.
Microsoft PurviewDatabricks Unity CatalogGoogle DataplexAWS Glue Data Catalog & Lake FormationCollibraAlationMonte Carlo
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