Regal Rexnord Accelerates Data-Driven Decisions with Trusted Analytics
Regal Rexnord, a customer-oriented business, faced challenges in achieving trusted data management and accelerating AI-driven analytics across its operations. By leveraging the collaboration between Informatica and Microsoft, the company streamlined native data quality applications, master data management, and AI copilots built on advanced Microsoft technologies. The integration allowed unified access to data from over 300 enterprise sources, rapid onboarding of high-quality data, and adoption of analytics and AI initiatives without data silos. Key innovations include Informatica’s Data Quality Native Application and MDM Extensions for Microsoft Fabric, as well as the CLAIRE Copilot AI assistant that uses Azure OpenAI Service for enhanced productivity. The improvements have significantly decreased the time for data onboarding, improved analytical trustworthiness, and fostered faster, smarter business decisions at scale, driving measurable impact for Regal Rexnord.
- Organization
- Regal Rexnord
- Industry
- Manufacturing
- Location
- United States
- Published
- May 2025
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Regal Rexnord
- Provider
- Microsoft
- Maturity
- Scaled Production
- Linked source
- informatica.com
The improvements have significantly decreased the time for data onboarding, improved analytical trustworthiness, and fostered faster, smarter business decisions at scale, driving measurable impact for Regal Rexnord
Primary read
Use case focus
Showing 3 of 3
- 1Trusted Data Onboarding for Analytics Platforms
- 2AI Copilot for Enterprise Data Management
- 3Unified Master Data Management with Cloud Analytics
- Difficulty in maintaining consistent, trusted data across business units.
- Prolonged data onboarding processes slowed analytics and AI adoption.
- Need for high-quality master data to support enterprise-grade analytics.
- Desire to unify and govern vast, diverse enterprise data sources.
- Deployed Informatica’s Data Quality Native Application integrated with Microsoft Fabric.
- Implemented Informatica’s Master Data Management Extensions for Microsoft Fabric.
- Adopted CLAIRE Copilot for Data Integration built on Azure OpenAI Service for AI-driven automation and conversational assistance.
- Ingested and profiled data from over 300 enterprise sources, with rapid onboarding into Microsoft Fabric.
- Reduced time to onboard mastered data from weeks to minutes.
- Improved trust and consistency of analytical data.
- Enabled faster adoption of AI initiatives and data-driven decisions.
- Streamlined business processes through AI-powered copilots and automation.
Architecture
Informatica’s Data Quality Native Application integrates with Microsoft Fabric, enabling direct profiling, cleansing, and onboarding of data from 300+ enterprise sources. Master Data Management Extensions consolidate master/transactional data into Fabric, supporting advanced analytics. CLAIRE Copilot, built on Azure OpenAI Service, provides AI-driven assistance for data professionals, leveraging both Microsoft Fabric and Informatica’s LLMs for process automation.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Independent source available
- Technical implementation details available
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