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Case study · From the Pluris libraryReceipt no. 7794
What sucked

A statewide healthcare organization operating more than 50 clinics had data sitting in separate systems for each location, all on different servers, each named differently.

Leadership could analyze performance at an individual clinic level, but assembling an enterprise view required weeks of manual report-pulling across each practice. Without a unified picture, they couldn't compare clinic performance, identify which locations were underperforming, or see where revenue was slipping before it was too late.

Healthcare & Life SciencesReporting & Data2–4 months
What they built

Eric built a nightly-refresh Power BI control-tower dashboard aggregating data from 50+ clinics across 15 groups, then extended the platform into operations by embedding patient imaging flags, eligibility checks, and performance alerts directly into frontline clinical workflows.

What changed
Weeks → nightly

Time to assemble enterprise-wide performance view across 50+ clinics replaced with a nightly dashboard refresh

Millions avoided

Estimated cost avoidance from revenue leakage caught before it materialized, including write-offs from missing imaging and failed eligibility checks

50+ clinics unified

15 clinic groups and more than 50 practices integrated into a single control-tower view for the first time

Time to results
2–4 months
Company size
1,001-5,000 people
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Who did it
Eric Gonzalez
Fractional Chief Data Officer & Founder, Omnificity

Vetted by Pluris.