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.
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.
Enterprise security
SSO/SAML, RBAC, row-level security, and SOC 2 controls.
Self-host or cloud
Run the free Community Edition in your own environment, or Analytify Cloud.
Governed AI
A plain-English analyst grounded in your semantic layer — auditable SQL, not guesses.
Frequently asked questions
Does Analytify support data governance BI?+
Can we self-host?+
What security certifications apply?+
Is there AI, too?+
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.