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St. Luke’s University Health Network


Amanda Mazza, Director, Analytics and BI


St. Luke’s University Health Network


Health Services

Business Challenge

St. Luke’s University Health Network is a non-profit, regional, fully integrated, and nationally recognized network providing services at seven hospitals and more than 270 outpatient sites throughout. St. Luke’s set out to create a health enterprise data warehouse (EDW) with a single view of key business entities to support analytical applications and allow stakeholders to gain insights across all mastered data domains, covering the full continuum of patient care.

The organization also was in need of a solution that could enable targeted patient outreach. St. Luke’s wanted to begin its analytics transformation with strategic business priorities, then develop BI requirements to support those priorities, and finally allow those BI requirements drive the implementation plan.

Analytics Solution

St. Luke’s used the WebFOCUS BI and analytics platform and the Omni-HealthData Insights solution from Information Builders to migrate many complex data sources, provide comprehensive MDM, and deliver analysis with integrated BI tools.

Its unique approach of letting business priorities drive analytics program deliverables allowed the St. Luke’s team to deliver value throughout the implementation, avoiding a lengthy approach to building an EDW that might not ultimately align with business needs. Working on analytics in parallel with the data integration and mastering processes enabled St. Luke’s to launch an initial set of quality dashboards in just four months.


In addition to allowing St. Luke’s to use data to boost performance, capture revenue, reduce costs, and compete more effectively with other regional health networks, these solutions have enabled the organization to develop more than 60 InfoApps: pre-built applications that include dashboards for monitoring activities across the clinical, operational, and financial spectrum, opening information to business users for both guided and advanced self-service analytics.