Case Study: Michigan Medicine achieves 5,000 analyst hours saved and 85–92% automated reconciliation with Tableau Software

Michigan Medicine optimizes workforce with Tableau, saving 5,000 analyst hours in a year

Michigan Medicine, one of the world’s largest health care systems with three hospitals, 40 outpatient centers and 140+ clinics, faced slow, costly analytics from an archaic billing system and siloed reporting as it moved to Epic. Its Fast Analytics team supports more than 30 internal groups but relied on manual coding or expensive vendors, producing late or incorrect outputs and creating a pressing need for a faster, scalable analytics platform.

By implementing Tableau, the Fast Analytics team automated reporting and built self-service dashboards that broke down silos and sped workflows. Four projects saved over 5,000 analyst hours in a year (one dashboard cut 48 hours/week), a charge-estimate tool reduced a 4.5-hour process to 4.5 seconds, and reconciliation was automated 85–92%. The result: broader data access for 19–30 teams, reassigned staff to higher-value work, and ROI well beyond the software cost.

Michigan Medicine

Jonathan Greenberg

IT Director Fast Analytics