GovernanceStudio | Enterprise Data Governance Platform
×

    GovernanceStudio, the Data and AI Governance Platform for the Enterprise

    Trust, built in. Across every Studio. Catalog, glossary, end-to-end lineage, classification, policy, data quality rules and access review, in one place.

    Book a GovernanceStudio Demo
    GovernanceStudio connecting data, AI and governance with policies, compliance, AI oversight and data lineage
    SEE IT IN ACTION
    Enterprise data governance for your whole estate, from one view.

    Spend, job health, lineage coverage and open recommendations for each workspace, in one place. When an agent acts, someone will ask which data it used and who allowed it; GovernanceStudio keeps the trail from source to action.

    Impact measured
    • 40%

      faster insights for
      business user

    • 70%

      fewer data errors by replacing competing spreadsheets

    • 150+

      source systems on one governed platform

    Three steps from scattered data to proven compliance.

    Start with visibility, add control, then prove it to auditors: three data governance solutions you can adopt at your own pace.

    Get GovernanceStudio demo
    AI Governance Platform FeaturesBuilt In, Not Bolted On
    Your data has owners. Your definitions should too.
    • Every table, pipeline, model, dashboard and agent, searchable in business terms
    • Certified glossary definitions, each with a named owner and steward
    • Revenue, customer and margin mean one thing in every report
    • Metadata captured as Studios build pipelines, models and agents, instead of a separate catalog nobody updates
    GovernanceStudio table catalog with owners and cost
    Trace every agent action back to its source.
    • Lineage follows data through every Studio, not just inside one tool
    • Impact analysis: if a source column changes, see which models, dashboards and agents break
    • Root cause: find the source and transformation that fed a figure or agent decision
    • Column-level where available, across cloud platforms, with versioned history for audits
    GovernanceStudio data lineage view with connected systems and active lineages
    Find the risk in every notebook. Fix it with approval.
    • Every catalogued notebook with its runs, cost, the jobs that schedule it and its source, read on demand
    • Findings ranked by priority, each pinned to the exact cell and line
    • Data governance automation: an AI summary of what each notebook does, what it reads and writes, and its risk areas
    • Fixes and edits are written back to Databricks only after workflow approval
    GovernanceStudio notebook findings ranked by priority
    Know what every job, cluster and warehouse costs.
    • FinOps dashboards with AI insights on idle cost, untagged spend and the SKUs driving it
    • Cluster right-sizing signals grounded in real billed cost, utilisation and idle waste
    • SQL warehouse cost by user, with the most expensive and most repeated queries
    • Job health, failures and suggested fixes, with cost attributed to every run
    GovernanceStudio FinOps dashboard with AI insights
    Talk to Our GovernanceStudio Experts
    Know Where Your Governance Stands Before You Scale AI.

    The Governance Assessment scores your maturity across data and AI governance and gives you a prioritized 30-60-90 day roadmap.

    Take the Governance Assessment
    Unsere neuesten Überlegungen
    Hiigh Performing GCCs Poor Governance
    • GCC
    • KI
    Why High-Performing GCCs Still Lose Millions to Poor Governance
    gcc framework for ai and data governance
    • KI
    • GCC
    GCC Framework for AI and Data Governance: All You Need to Know
    Data Governance Strategy
    • KI
    • Datenanalyse
    Data Governance Done Right: Strategies That Drives Business Value
    Häufig gestellte Fragen

    It is one layer that catalogs your data, defines what it means, traces it from source to agent action, classifies what is sensitive, enforces access policy and governs quality rules. When an AI output is questioned, you can show which data it used, whether that data was allowed and whether it was good enough to act on. GovernanceStudio does this across every Polestar Studio, which is the foundation enterprise AI governance depends on.

    A catalog tells you what exists. GovernanceStudio adds a glossary with named owners, end-to-end lineage through models and agents, sensitivity tiering, policies enforced on each platform, data quality governance with owned rules and thresholds, access recertification and audit evidence.

    Yes. Its cloud data governance works across Azure and Microsoft Fabric, Databricks, Snowflake, Google Cloud and AWS. Policies are authored once in business terms and applied as native controls on each platform: row filters, column masking, role and attribute access, and agent permissions.

    Pick one critical domain where trust and compliance matter most, such as finance or customer. We stand up catalog, glossary and lineage on your platform, then agree the policy and compliance roadmap before rolling out across domains. To see where you stand first, take the Governance Assessment.

    Mit unseren Experten sprechen