Inconsistent KPIs
Fabric IQ Governance Services in UAE & KSA
AI agents are only as reliable as the data and business definitions they use. M365 Enterprise Hub governs Microsoft Fabric IQ, OneLake and Power BI semantic models for organizations in the UAE and Saudi Arabia, so every agent and report works from the same trusted, secure business context.
What Is Fabric IQ Governance?
Fabric IQ is the business context layer in Microsoft Fabric. It brings together OneLake data, Power BI semantic models and ontologies that define entities like customers, products and orders, so AI agents share one understanding of the business. Fabric IQ governance defines ownership, quality, security and access for that layer.
It connects data governance with enterprise AI governance and Purview AI compliance.
Fabric Governance Engagement Models
Make your data ready for trustworthy AI.
Why Fabric IQ Needs Governance
When different teams define “revenue” or “active customer” differently, AI agents give conflicting answers. When workspaces are open to everyone, agents may expose data users should not see.
Governing Fabric IQ gives agents certified definitions, clear owners and enforced security, so AI answers are consistent, explainable and compliant with data protection rules in the UAE and KSA.
Our Fabric IQ Governance Services
Trusted data foundations for analytics and AI agents.
01Domains & Ownership
Fabric domains, data owners and stewards for each business area.
02Certified Semantic Models
Endorsed Power BI semantic models with agreed business definitions.
03Ontology Standards
Naming, entity and relationship standards for Fabric IQ ontologies.
04OneLake Security
Workspace roles, row and object-level security and access reviews.
05Purview Integration
Data catalog, lineage, sensitivity labels and data quality for Fabric.
Common Data Governance Problems We Fix
Issues that undermine AI and analytics:
Conflicting definitions
Multiple versions of the same KPI.
Workspace sprawl
Hundreds of ungoverned Fabric and Power BI workspaces.
Open access
Sensitive datasets visible to too many users.
No lineage
Nobody knows where agent answers come from.
Our Governance Process
- 01Assess
Inventory workspaces, models, data and access.
- 02Define
Domains, owners, definitions and policies.
- 03Implement
Configure security, endorsement and Purview.
- 04Enable Agents
Approve trusted data for AI agents.
- 05Monitor
Quality, usage and access reviews.
Ungoverned Data vs Governed Fabric IQ
| Area | Ungoverned Fabric Data | Governed by M365 Enterprise Hub |
|---|---|---|
| Definitions | Certified business definitions | |
| Access | Broad workspace access | Role-based and row-level security |
| Trust | Unknown data sources | Lineage and endorsement |
| AI Answers | Conflicting results | Consistent, explainable answers |
Why Choose M365 Enterprise Hub for Fabric Governance?
We bring together data, security and Microsoft 365 expertise, so your Fabric IQ governance connects with Purview, Entra ID and AI agent controls instead of living in isolation.
Fabric & Power BI Experts
Data platform and semantic model skills.
Security Built In
Entra and Purview integrated from the start.
AI-Ready Data
Governed context for trustworthy agents.
Fabric IQ Governance FAQs
Fabric IQ is a business context layer in Microsoft Fabric that combines OneLake data, Power BI semantic models and ontologies so AI agents and analytics share a consistent understanding of business entities and rules.
An ontology defines business entities such as customers, assets or orders, their relationships, rules and live signals, giving agents structured context about how the business works.
Without ownership, certified definitions and access controls, agents may use inconsistent or sensitive data, producing wrong or non-compliant answers.
Purview can catalog Fabric items, show lineage, apply sensitivity labels and support data quality, giving a governance view across your data estate.
No. Microsoft 365 Copilot works with Microsoft 365 data. Fabric IQ adds governed business data context for analytics and custom agents.
A readiness review takes two to three weeks. A full governance implementation typically takes six to twelve weeks.