From Days to Hours: Scaling Employer Reporting and Data Processing at a Multi-State Health Plan

Join this session to learn how a major multi-state health plan serving more than 20M members partnered with MedeAnalytics to modernize from an ETL to ELT system leveraging Snowflake’s AI Data Cloud for Healthcare & Life Sciences for faster employer reporting at scale. 

The health plan struggled with their legacy ETL system that powers its employer reporting—one of the most data-intensive functions within the organization. Generating hundreds of employer reports each month required processing 97M enrollment records, billions of claims, and took over 160 processing hours.

Using MedeAnalytics’ Health Fabric™, available on Snowflake Marketplace, the organization redesigned its employer reporting pipeline into a highly parallel, cloud-native ELT architecture, that resulted in:  

• 18.7× faster data loads 
• 94% reduction in end-to-end processing time 
• And employer reports that once took days to generate to now refresh in hours—with over 97% viewable in under 30 seconds 

Attendees will learn how this tri-party collaboration enabled dramatic improvements in employer reporting performance, stability, and development velocity.

Come check this session out at the Snowflake Booth #5247