Data Governance BI

Data governance BI without compromise

Analytify delivers data governance BI with a governed semantic layer, enterprise security (SSO, RBAC, SOC 2), and the option to self-host — plus a plain-English AI analyst.

SSO, RBAC, SOC 2 Row-level security Self-host or cloud
Why Analytify

Data governance BI that satisfies your security review

Security and governance are built in, not bolted on — so data governance BI passes procurement and keeps data where you need it.

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Enterprise security

SSO/SAML, RBAC, row-level security, and SOC 2 controls.

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Self-host or cloud

Run the free Community Edition in your own environment, or Analytify Cloud.

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Governed AI

A plain-English analyst grounded in your semantic layer — auditable SQL, not guesses.

FAQ

Frequently asked questions

Does Analytify support data governance BI?+
Yes — data governance BI is a first-class capability, backed by a governed semantic layer, enterprise security, and self-hosting.
Can we self-host?+
Yes — the free Community Edition is self-hostable; Analytify Cloud is also available for managed deployments.
What security certifications apply?+
Analytify supports SSO/SAML, RBAC, row-level security, and SOC 2 controls; self-hosting supports stricter data-residency needs.
Is there AI, too?+
Yes — a governed, plain-English AI analyst that shows its SQL so results are auditable.

See data governance BI in Analytify

Book a 15-minute walkthrough and bring your security requirements — we’ll cover architecture and pricing.

Data Governance for BI and analytics

By the Analytify BI team · Last updated August 2026

Data governance for BI means governed metric definitions, access control and auditability so everyone trusts the numbers.

Without governance, self-service produces conflicting figures and compliance gaps; with it, analytics scales safely.

What to evaluate

  • A governed semantic layer
  • Access control (RBAC, RLS)
  • Auditability and lineage
  • Consistent metric definitions

How Analytify approaches it

Analytify centres on a governed semantic layer with RBAC, row-level security and auditable SQL, so metrics stay consistent and controlled.

Because Analytify runs on a governed semantic layer and ships as both managed cloud and a free, self-hostable Community Edition, you get plain-English AI analysis, native white-label embedding with row-level security, and per-user pricing with unlimited embedded viewers, without giving up governance or control.

FAQ

What is data governance in BI?

Governed metrics, access control and auditability that keep analytics trustworthy.

Why does it matter for self-service?

It stops self-serve from producing conflicting numbers.

How does Analytify handle it?

Analytify centres on a governed semantic layer with RBAC, row-level security and auditable SQL, so metrics stay consistent and controlled.