Solution

Quantiphi engaged with the client to build a foundational data lake and a warehouse using Amazon S3 and Lake Formation to enable better management of the information present across different data silos. The project also included the development of a consistent view on top of the established ‘lake house’ that augments the end-users through various data analytics and business intelligence tools like Amazon Athena to help derive meaningful insights

As a pilot deployment, Quantiphi has deployed resilient data models that are served by scalable data pipelines to ingest prioritized data sources (Billing and EHR) to a centralized lake house and are further used to create a 360-degree view of members profiles.

As part of long-term engagement, Quantiphi is working with the client to push pilots and MVPs into production and develop SOTA ML solutions that augment clinical analysis and help customers derive better insights into their workers’ compensation claims.

Result

Ingestion, transformation, and consolidation of 1 TB of prioritized data spread across raw Billings and EHR data sources.

Paved the foundation for building experience layer applications that provides a holistic view of the members across silos.

Created standardized data ingestion and transformation processes