Project Details

Enterprise Data Modernization for a Healthcare Network

Client name and specific details omitted for confidentiality.

Project Overview

A leading hospital group sought to modernize its data and analytics ecosystem to support digital transformation initiatives, improve clinical and administrative decision-making, and enable AI-driven innovation. I led the strategic transition from fragmented legacy systems to a unified Microsoft Fabric-based platform optimized for scale, automation, and real-time insights.

Context & Opportunity
  • Hospital planned digital upgrades in HRMS, finance, and operations.
  • Data was siloed across multiple platforms, limiting access and reporting.
  • On-premise systems lacked scalability and AI support.
  • Reports were delayed due to manual processes.
  • Needed to maximize data value while reducing operational cost.
Legacy Landscape
  • Mix of older and newer platforms (Microsoft, SAP, custom apps).
  • Disjointed reporting tools caused data duplication and inconsistency.
  • High licensing costs with poor ROI.
  • Slow delivery cycles due to IT dependency.
  • Limited tools for clinicians and managers to self-serve analytics.
Strategic Objectives
  • Empower clinical and administrative teams with self-service insights.
  • Unify hospital-wide data in a governed platform.
  • Adopt Microsoft Fabric and Power BI for analytics modernization.
  • Optimize licensing and reduce TCO using existing entitlements.
  • Prepare for AI-driven insights like predictive care and forecasting.
Measurable Outcomes
  • Unified platform via OneLake and Lakehouse replaced silos.
  • Report delivery time reduced by over 50%.
  • Semantic models enabled business users to build reports directly.
  • Platform now supports AI use cases like patient-flow optimization.
  • Analytics consolidation reduced fatigue and upskilled internal teams.

This project marked a significant step forward in the client’s digital transformation journey. By unifying fragmented systems and implementing a cloud-first, AI-ready data platform, we enabled faster decision-making, stronger data governance, and improved scalability across the organization.

The modernization effort not only enhanced operational efficiency but also created a future-proof foundation for advanced analytics and innovation in patient care. It was a rewarding opportunity to apply modern data architecture principles to solve real-world challenges with lasting business impact.