Microsoft Fabric Migration: Enabling Data-Driven Care for Large-Scale Healthcare

Challenges

  • Scale: Over 4,200 users relying on 738 disparate Qlik Sense applications.
  • Diversity: Need to ingest data from EPIC, Vizient, HRSN, and Excel into a single platform.
  • Efficiency: Requirement to reduce the total cost of ownership while improving analytical depth.

Solutions

  • Infrastructure Audit: Performed a comprehensive review of applications and data sources to identify migration priorities.
  • SaaS Transition: Moved legacy extract/transform processes to Microsoft Fabric to leverage a unified SaaS data lake.
  • Logic Centralization: Streamlined business logic to enable seamless AI and advanced analytics integration.

Technologies Used

  • Microsoft Fabric (Unified Data Platform)
  • SaaS Data Management
  • Advanced AI Integration
  • Qlik Sense (Source Environment)

Outcomes

  • 20% Cost Optimization: Significant reduction in service costs versus the legacy QlikSense environment.
  • Rapid Scale: 100+ pipelines successfully migrated with zero data loss.
  • Operational Readiness: 20+ engineers trained to manage and expand the new Fabric environment.
  • Actionable Insights: Improved decision-making through a structured, 2TB analytics-ready data foundation.

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Microsoft Fabric Migration: Enabling Data-Driven Care for Large-Scale Healthcare

April 24, 2026
A premier US-based healthcare network successfully modernized its complex data environment by migrating from Qlik Sense to Microsoft Fabric. This transition centralized 2TB of data and 100+ pipelines, creating a scalable, cost-effective ecosystem for clinical and operational excellence.
Challenges
  • Scale: Over 4,200 users relying on 738 disparate Qlik Sense applications.
  • Diversity: Need to ingest data from EPIC, Vizient, HRSN, and Excel into a single platform.
  • Efficiency: Requirement to reduce the total cost of ownership while improving analytical depth.
Solutions
  • Infrastructure Audit: Performed a comprehensive review of applications and data sources to identify migration priorities.
  • SaaS Transition: Moved legacy extract/transform processes to Microsoft Fabric to leverage a unified SaaS data lake.
  • Logic Centralization: Streamlined business logic to enable seamless AI and advanced analytics integration.

Technologies Used

  • Microsoft Fabric (Unified Data Platform)
  • SaaS Data Management
  • Advanced AI Integration
  • Qlik Sense (Source Environment)

Outcomes
  • 20% Cost Optimization: Significant reduction in service costs versus the legacy QlikSense environment.
  • Rapid Scale: 100+ pipelines successfully migrated with zero data loss.
  • Operational Readiness: 20+ engineers trained to manage and expand the new Fabric environment.
  • Actionable Insights: Improved decision-making through a structured, 2TB analytics-ready data foundation.

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