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Case Study: a leading healthcare organization improves patient access and scheduling with EXL and Databricks
A EXL Case Study
Leading Healthcare Organization cuts data processing from 8 hours to 20 minutes with EXL
A leading healthcare organization faced significant performance bottlenecks and data delays due to its outdated SQL server-based data warehouse. This legacy system, which took up to eight hours to process data, hindered its ability to leverage advanced analytics for patient access operations and strategic decisions. Partnering with vendor EXL, the client sought a modern data solution to overcome these scalability and governance issues.
EXL implemented a modern data architecture powered by the Databricks Data Intelligence Platform on Microsoft Azure. This solution reduced data processing time from eight hours to just 20 minutes, a 20x improvement, enabling near real-time insights. The new infrastructure also established a scalable foundation for future AI initiatives, vastly improving performance and cost efficiency for the healthcare organization.
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