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Master Data Management for Microsoft Fabric and Purview
Microsoft Fabric and Microsoft Purview provide powerful capabilities for analytics, data engineering, and governance. However, neither platform delivers full Master Data Management functionality. CluedIn delivers Agentic Master Data Management within the Microsoft ecosystem.
What Microsoft Fabric Provides
Microsoft Fabric offers:
- Lakehouse architecture
- Data engineering pipelines
- Analytics and reporting
- AI integration
Microsoft Fabric does not provide native Master Data Management capabilities such as entity resolution, mastering, and cross-system identity management.
What Microsoft Purview Provides
Microsoft Purview provides:
- Data cataloguing
- Data lineage
- Governance visibility
- Compliance management
Microsoft Purview is not a Master Data Management platform.
Where Master Data Management Fits in the Microsoft Stack
Master Data Management provides:
- Cross-system entity resolution
- Golden record creation
- Governance enforcement
- Synchronisation across ERP, CRM, and SaaS systems
Master Data Management compliments Fabric and Purview by delivering operational master data integrity.
How CluedIn Integrates with Microsoft Fabric and Purview
CluedIn integrates with Microsoft environments to:
- Resolve and master entities before analytics
- Feed governed master data into Fabric
- Synchronise governance signals with Purview
- Maintain a persistent knowledge graph across systems
Why Enterprises Add CluedIn to Their Microsoft Data Platform
Enterprises adopt CluedIn to extend Microsoft Fabric and Purview with full Master Data Management capabilities, enabling continuous entity resolution, governance automation, and AI-ready data infrastructure.
Find out more about Agentic Master Data Management
How to Modernise Master Data Management in the Enterprise
Modernising Master Data Management requires more than upgrading tooling.
CluedIn vs Traditional Master Data Management Platforms
Traditional master data management platforms were designed around centralised data hubs and manual stewardship.
Enterprise data challenges solved.
The resource drain
Challenge: Data teams spend most of their time cleaning and maintaining data.
CluedIn: Agents automate the grunt work - detect, fix, enrich - so teams focus on strategy.
Free your experts to deliver insight, not maintenance.
Scale without scale
Challenge: Manual data management can’t keep up with business or AI velocity.
CluedIn: CluedIn Agents handle millions of records in parallel - continuously improving quality and context.
Scale 100x faster without scaling headcount.
Fragmented systems, fragmented truth
Challenge: Data lives across clouds and apps, breaking consistency and governance.
CluedIn: Agents unify and govern data across all platforms - enforcing global rules locally.
A single, trusted layer across your data landscape.
Rising cost, falling ROI
Challenge: Traditional MDM is expensive and slow to prove value.
CluedIn: Autonomous Agents deploy in minutes and cost cents per run.
$0.13 vs $1,000 per job - measurable impact from day one.
Governance at scale
Challenge: Automation often introduces compliance risk.
CluedIn: CluedIn Agents are governed by design - every action is logged and explainable.
Autonomous, auditable, and compliant by default.
Data quality blind spots
Challenge: Even ‘good’ data hides silent errors that undermine AI.
CluedIn: Agents continuously validate, enrich, and learn from feedback.
Data that gets smarter every day - and AI you can trust.
The AI readiness gap
Challenge: AI fails without complete, current, trusted data.
CluedIn: Agents continuously prepare and enrich data to feed copilots and models.
AI that performs as promised - powered by data you can depend on.