Enterprise Data Platform Implementation for Leading Payer

The Emids customer is a leading payer—with nearly 47 million members operating across the commercial, Medicare, and Medicaid markets—focusing on whole-person health for improving outcomes.  

The customer had developed and acquired applications across their business, primarily leveraged for internal use with a few external clients. They saw a market opportunity to commercialize these apps for external use. The key challenge was that the suite of applications wasn’t created for data ingestion from external sources. Emids was approached to build an ingestion framework that allowed for these apps to absorb data from both internal and external sources. 

Having a tight deadline of six months, the customer tasked Emids with developing a cloud-data platform with the ability to ingest data from multiple parties in a secure, multi-tenant way. That’s where Emids’ CoreLAKE™ came into the picture.  

CoreLAKE™ is a ready-to-implement data management solution that can ingest and integrate disparate data in a comprehensive health care data model—helping customers get to market faster.  

The customer’s data platform was built on CoreLAKE™ and deployed on the Google Cloud Platform to ingest, cleanse, standardize, and harmonize the data streams coming from multiple external sources into a unified data model residing in Snowflake.

Emids helped the customer integrate with their existing client systems and provided high-quality data delivery via CoreLAKE™, which also enabled the client to build upon their high-value analytics assets. Emids also provided end-to-end data operations to achieve significant cost reduction.

Through its deep domain & technical expertise, Emids helped accelerate the client’s time to value using CoreLAKE™’s out-of-the-box functionalities.

Data Engineering

Make Data Your Business Advantage

Emids can help you manage and effectively use data for optimal results. We have a process-oriented approach to data management, consisting of data stewardship, data quality, data security and metadata management.

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