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Business Impact

Customer Key Facts

  • Size : 100+ employees
  • Location : Boston, Massachusetts
  • Industry : Information Technology & Services

Problem Context

The client is a healthcare insights provider that works on large-scale, sensitive, unstructured customer healthcare data.

The client needed a healthcare insights cloud platform that can be used by both payers and providers to manage their native data management solutions.

Challenges

 

  • Providing data lifecycle functions as scalable connectors exposed in the form of REST API to the end users
  • Handling extremely sensitive healthcare data and ensuring legal compliance
  • Ensuring ingestion of huge unformatted data in stipulated time frame and in a fixed format, with minimal errors
Challenges

Tools & Methods

Apache Spark
Hortonworks Data Platform
Apache Hive
Apache Kafka
Terraform (Infrastructure as code)
Amazon RDS
Amazon Elastic Container Service for Kubernetes
Amazon EC2
Amazon Redshift Spectrum
Amazon S3
Amazon Kinesis

Data lake platform for distribution and insight generation

Solution

Quantiphi helped the client build out the entire platform that hosts the data lake as well build out the endpoints for data distribution. The platform enables its customers increase operational excellence of their data assets by centralizing siloed and unstandardized data from legacy systems, enabling better care and enhanced experience for their patients at lower costs.

Results

  • Increased operational excellence
  • Secure data management platform

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