Data governance
Data governance solutions: what they do and how to start
A plain guide for data, IT and risk leads. Product facts come from Microsoft's own documentation as read on 6 November 2026. Check the cited page before you buy or configure anything.
Data governance solutions are the tools and practices that make data discoverable, accurate, trusted and protected. Microsoft describes its own data governance solutions, Data Map and Unified Catalog in Microsoft Purview, as a way to scan data sources, catalog them, set owners and improve data quality. A tool alone does not govern anything: someone still has to own the rules. This page explains what the tools do and what to decide before choosing one.
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What are data governance solutions?
Microsoft's documentation defines the aim this way: data governance ensures that the data you use in business operations, reports and analysis is discoverable, accurate, trusted and protected. A data governance solution is software, and the working practices around it, that help a team do that across many systems.
Microsoft names two primary solutions in its Purview data governance offer. Data Map scans your assets and multicloud sources to capture metadata. Unified Catalog is a searchable catalog of that scanned data where you curate it, grant access to it and improve its health. Microsoft notes that everything held in Data Map and Unified Catalog is metadata, not the underlying data, and that its roles do not give access to the underlying data.
Other vendors sell similar tools under the same label. This page uses Microsoft's documentation only because it is the one primary source we read today.
Source: Microsoft Learn, Learn about data governance with Microsoft Purview (https://learn.microsoft.com/en-us/purview/data-governance-overview), page metadata dated 2025-02-19, read 6 November 2026.
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What do data governance solutions do?
Microsoft groups the capabilities of Unified Catalog into three ideas. Visibility: a catalog across disparate sources, data products (groups of assets with a use case you can share) and oversight of data health. Confidence: governance domains, data lineage to trace the root cause of quality issues, and built-in data quality. Responsible use: role-based access with reader and owner rights, and search by business context and natural language.
Microsoft also describes a federated model: a central data office sets the rules, and people in each department who understand the data govern it day to day. It names four roles: central data office, data consumers, data owners and data stewards.
A catalog shows you what exists and who owns it. It does not decide your policies for you.
Source: Microsoft Learn, Learn about data governance with Microsoft Purview, sections Key capabilities and Federated approach (https://learn.microsoft.com/en-us/purview/data-governance-overview), read 6 November 2026.
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How do you start with data governance?
Microsoft's overview lists a five-step workflow for its own tools: assign a Data Governance Administrator; use Data Map to scan assets and capture metadata; in Unified Catalog build governance domains and curate data products; connect the data to business concepts such as objectives and glossary terms; then improve data quality and remove issues.
The order is a useful pattern beyond one vendor: name an accountable person first, find out what data you have, group it by business area with an owner, then fix quality where it matters. Microsoft points to a separate planning page and a billing page; check billing before you start, because we did not read it.
Source: Microsoft Learn, Learn about data governance with Microsoft Purview, section Workflow at a glance (https://learn.microsoft.com/en-us/purview/data-governance-overview), read 6 November 2026.
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What should you decide before choosing a data governance solution?
This is Kriv AI's view, not a sourced fact. Decide who owns each data domain before you compare products, because every tool needs owners to be useful. Decide which systems are in scope first, because a catalog only governs what it scans. Decide what your AI projects need from the data, because that sets which quality checks matter.
If you already run Databricks or Microsoft Fabric, check the vendor's own documentation for what it covers on governance before you add another product. Our AI data governance page covers that question for AI use.
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Where Kriv helps
Kriv AI helps teams set up data governance on the platforms they already use: who owns which data, what is in scope, which quality checks run, and how the rules are written down so reviewers can follow them. Your own team keeps ownership of the data and the decisions.
Kriv does not sell data governance software and does not replace the vendor's documentation.
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What this page could not confirm
We read one vendor page. We did not read Microsoft's billing or planning pages, did not compare products from other vendors, did not read analyst reports, and did not test any tool. Microsoft's page carries no preview or general availability labels for the features named, so we make no statement about their release status. Check the vendor's current pages before you decide.
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Frequently asked questions about Data governance solutions: what they do and how to start
What are data governance solutions?
Tools and practices that help keep data discoverable, accurate, trusted and protected. Microsoft's Purview offer, for example, pairs Data Map (scans sources and captures metadata) with Unified Catalog (a catalog to curate data and manage access and quality). Read 6 November 2026.
Does a data governance tool store my data?
Microsoft says the data in Data Map and Unified Catalog is metadata, not the underlying data, and that the roles in them do not grant access to the underlying data (read 6 November 2026). Other vendors differ; check each one.
Who should own data governance?
Microsoft describes a federated model: a central data office sets the rules and people in each business area who understand the data govern it. That is one model, not the only one.
Do we need a separate product to govern data for AI?
Not always. Platforms you may already run include governance features. Our AI data governance page covers how to check what you have first.
Does Kriv sell a data governance product?
No. Kriv AI helps teams configure and run governance on the platforms they already use.
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