The glossary lives in one tool, policies in a spreadsheet, and stewardship in email threads. When an auditor asks what "net revenue" meant last March and who approved the change, someone spends weeks reconstructing the answer.
MetaKarta's Data Governance runs on live metadata harvested from the estate. Terms map to the columns that implement them, policies apply where the data is used, and every change is versioned. Every definition can defend itself.
Where governance programs stall
The glossary has no connection to the warehouse. Policy describes intent while the BI tools keep doing what they did before the program started.
When a column is renamed, stewards find out from the incident. Coverage reports measure activity, and leadership reads them that way at renewal time.
SOX, BCBS 239, GDPR, CSRD, and the AI rules arriving behind them all ask the same question: show how the policy is implemented. A wiki can't answer it.
How MetaKarta governance works
Semantic mapping and semantic lineage. Glossary terms bind to the technical fields that implement them. Semantic lineage shows how a definition flows through transformations from source to report.
Automated classification. PII and sensitive data detection runs across harvested assets. Findings trigger stewardship workflows and masking enforcement without a manual tagging pass.
Customizable stewardship workflows. Review, approval, and ownership cycles run as system workflows, with every step logged. Stewards spend their hours on exceptions instead of chasing sign-offs.
Data and process modeling. IDEF1X, BPMN, and UML models document how IT systems and business processes connect.
Full version and configuration management. Every governance decision is logged, attributed, timestamped, and reversible. The audit answer is a query.
Policy applied where the data is used, versioned where it changed.
What it delivers
Trusted BI. Reliable AI. Defensible governance.
Trusted BI. When a definition drifts, the workflow routes it to its owner, and lineage shows which reports carry the drifted version.
Reliable AI. Policy travels with the definition into the agent's context. MetaKarta MCP serves governed metadata to external agents under per-user permissions, and Context Sandbox validates grounding against live data before an agent reaches production.
Defensible governance. Version history, point-of-use policy, and the audit trail sit in one view.
One repository under every capability
Data Governance reads from and writes to the same shared metadata repository as Data Lineage, Data Catalog, and Semantic Hub. When governance classifies a column as sensitive, lineage shows every downstream consumer at that moment.
A PII tag applied during catalog harvesting opens a stewardship assignment and an access review in one step. Approved definitions feed Semantic Hub, which compiles them into BI tools and databases along with their security policies, so the definition running in production is the one governance approved.
Documentation describes what should be true. Compilation makes it true.
Compliance frameworks supported
- SOX: version-controlled definitions with attribution and point-in-time history
- GDPR and CCPA: automated PII classification, documented data flows, and masking enforcement
- BCBS 239: lineage traceability for risk data aggregation and reporting
- CSRD and ISSB: versioned reporting definitions with audit-ready provenance
- AI governance: permission-aware agent access, grounding validated before production, and lineage from source to the governed definition an agent consumed
- Internal audit: stewardship workflow logs and the complete change history of every governed asset
Where teams put it to work
Standing up or rebuilding a program. Active harvesting maps the estate first, so governance starts against real assets instead of an empty template.
Audit & Compliance. "What did this metric mean on March 14, and who changed it?" becomes a query answered in seconds.
BI Metric Consistency. When Finance and Sales report different revenue figures, a steward picks the canonical definition with both lineage traces as evidence, and that decision is recorded.
Metadata Tool Consolidation. A renewal is coming and the incumbent catalog's adoption numbers won't carry it. One platform replaces separate catalog, lineage, and governance tools that each hold their own copy of the metadata.
Data mesh and domain ownership. Domain teams own their stewardship while lineage and policy stay consistent across domains on one shared model.
Proof points
- Governance built on live, harvested metadata
- Semantic mapping and semantic lineage from business term to technical field to report
- Automated PII and sensitive data classification with masking enforcement
- Customizable stewardship, review, and approval workflows
- Full version and configuration management: every decision logged, attributed, timestamped, and reversible
- Governed definitions compiled into BI tools and databases through Semantic Hub, security policies included
What enforced governance changes
Governance becomes defensible when every definition carries its owner, its history, and its policy into the systems that use it. MetaKarta's Data Governance does that on the same shared metadata repository as Data Lineage, Data Catalog, and Semantic Hub.
Get in touch to learn more about turning a governance policy into an audit answer you can query.
