Case Study: FinThrive achieves faster healthcare data insights with Databricks AI/BI Genie

Unlocking petabyte-scale insights in real time with AI/BI Genie

FinThrive, a healthcare revenue cycle management and life sciences data provider serving more than half of U.S. hospitals and health systems, faced a major bottleneck in delivering de-identified healthcare insights. Its analysts had to manually write SQL for complex feasibility requests, creating inconsistent answers and 3–5 day turnaround times that slowed responses to pharmaceutical companies and channel partners. To solve this, FinThrive turned to Databricks AI/BI Genie on its centralized Databricks lakehouse.

With Databricks AI/BI Genie, FinThrive enabled natural-language access to petabyte-scale data and standardized query generation, so sales teams could get accurate answers without technical expertise. The result was a dramatic cut in query response time from days to minutes, improving consistency, speeding competitive deal cycles, and helping FinThrive deliver trusted insights at scale.

FinThrive

Hari Gummakonda

Senior Director, Data and Analytics