Case Study: a leading healthcare organization improves patient scheduling and access with EXL and Databricks

A EXL Case Study

Preview of the Leading Healthcare Organization Case Study

a leading healthcare organization cuts data processing from 8 hours to 20 minutes with EXL

The customer, a leading healthcare organization, was hindered by an outdated SQL server-based data warehouse that created significant performance bottlenecks and data delays. These issues prevented them from leveraging advanced analytics for strategic decisions. Partnering with vendor EXL, the client sought a solution to overcome these scalability and data governance challenges.

EXL implemented a modern data architecture powered by the Databricks Data Intelligence Platform on Microsoft Azure. This solution drastically reduced data processing time from eight hours to just 20 minutes, enabling near real-time insights. The results provided by EXL included a 20x improvement in processing speed, seamless scalability, and a new foundation for future AI and machine learning initiatives.


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