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Governed data is trusted data.

Streamline your data certification workflows, align business and data with a unified glossary, and enforce ownership for the data that matters most.

Launching in 2026.

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With and without Bigeye

Before Bigeye Data Governance

With Bigeye Data Governance

Manual processes in Word and Excel docs

Customizable automated workflows

Business terms hidden in Confluence pages

Unified business glossary linked to catalog

Unclear and spotty data ownership

Enforceable data ownership models

Data certification capabilities

Streamline certification with automated workflows

Certify data faster and with less back and forth. Bigeye turns your certification process into a repeatable workflow powered by active metadata including end-to-end data lineage.

Define and automate dataset certification with policies based on freshness, quality checks, and critical-field coverage, routed through clear approval workflows

Prove data provenance with column-level lineage for audits and compliance, and automatically flag or downgrade certified assets when incidents or regressions occur

Publish certification status directly in the catalog, giving teams simple, trustworthy badges that reflect real-time data health

Manage your business glossary

Align your business definitions and connect them to your data

Keep business users on the same page with a single source of truth for definitions that links them directly to your data assets in the catalog. Your users will not only understand what things mean and where to find them, they’ll know if the data is healthy and ready for their use case.

Create and manage approved definitions for metrics, entities, and business concepts, and link them to the exact datasets, fields, and reports they rely on

Show owners, policies, and certification status alongside every term, while automatically highlighting conflicting or duplicate definitions for fast cleanup

Surface glossary context across Bigeye so teams see the right definitions directly within search, catalog, and data quality workflows

Advanced ownership models

Define and enforce ownership models for your business

Ensure data has clear ownership so every task and question about your data can be routed to the right person. Define custom ownership models and requirements, then enforce them in your certification workflows.

Integrates with Bigeye’s Metadata, Observability, and Sensitivity modules to embed ownership into every workflow

Supports flexible ownership models with auto-suggested owners based on usage patterns, commit history, and incidents

Routes incidents, approvals, and certifications to the right owners and gives each team a focused view of their data estate