Make trust partof the platform
How data, AI, and digital are reshaping this domain
In an AI-first world, governance sits inside the platform. Enterprises need lineage, glossary, stewardship, access control, sensitivity handling, auditability, and human-review patterns embedded into daily work. The strongest governance reduces risk without turning the business into a permission queue.
Enterprise data governance operating model
Define ownership, stewardship, glossary, standards, and governance processes across critical data domains.
Catalog, lineage, and discoverability
Make data traceable, understandable, and easier to trust for analytics, reporting, and AI.
Master data and golden records
Improve consistency across customer, product, and enterprise reference data.
Responsible AI governance
Introduce controls for AI usage, access, human review, transparency, and risk.
One execution model for this service domain
NeoStats treats governance as a production capability. Operating model, platform controls, enterprise access, reporting integrity, and AI readiness are delivered together so governance becomes usable in day-to-day execution.
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Data & AI GovernanceBring your priorities, constraints, and outcomes. NeoStats will shape a delivery plan that moves from strategy to execution quickly and safely.
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Data Governance using Purview
Reusable solution module
An enterprise governance framework powered by Microsoft Purview that enables automated discovery, classification, lineage tracking, and policy enforcement. It improves trust, security, and compliance across data assets.
- 100% visibility across data assets
- 50% faster data discovery
- 70% reduction in audit preparation effort
Explore the right accelerator for your priorities.
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