Informatica Expands Microsoft Alliance to Streamline Enterprise Data Foundations Supporting AI-driven CX in Switzerland
Informatica, a Salesforce subsidiary, has expanded its collaboration with Microsoft to build trusted, unified data foundations for scalable AI and customer experience (CX) initiatives amid fragmented data environments and inconsistent governance. They introduced native support for Open Mirroring in Microsoft Fabric and a new Azure point of delivery (POD) in Switzerland, enabling synchronization of data between Fabric OneLake and Fabric Data Warehouse with minimal setup. Governance, data quality, privacy, and master data management capabilities are integrated into the Fabric environment to ensure consistent standards across pipelines and analytics layers. The expansion addresses data sovereignty regulations in Europe and enhances multi-cloud interoperability for enterprises.
- Organization
- Informatica
- Industry
- Tech & Comms
- Location
- Switzerland
- Published
- March 2026
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Informatica
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- CX Today
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 3 of 3
- 1Data Integration
- 2Data Governance
- 3AI-driven Customer Experience
- Enterprises face fragmented data environments and inconsistent governance, limiting the effectiveness of AI models and automation.
- There is a need to build scalable, governed data ecosystems to support AI-driven customer experience initiatives.
- Informatica Intelligent Data Management Cloud (IDMC) now supports Microsoft Fabric Open Mirroring, simplifying data ingestion from over 300 enterprise sources.
- The integration extends governance, data quality, and master data management to Microsoft Fabric, enabling enterprises to build unified data layers.
- A new Azure POD in Switzerland supports European data sovereignty requirements.
- Simplified enterprise data management and improved data quality and governance.
- Enabled reliable AI models and automated personalized customer experiences with strong trust.
- Supported compliance with European data sovereignty regulations.
- Reduced integration complexity and enhanced multi-cloud interoperability.
Sources & evidence1
- Customer explicitly identified
- Technical implementation details available
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