Data Hub Platform for Healthcare Insights

Life Sciences
case study

Business Impacts

Customer Key Facts

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

Problem Context

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

Technologies Used

Apache Spark

Apache Spark

Hortonworks Data Platform

Hortonworks Data Platform

Apache Hive

Apache Hive

Apache Kafka

Apache Kafka

Terraform

Terraform

Amazon RDS

Amazon RDS

Amazon Elastic

Amazon Elastic

Amazon EC2

Amazon EC2

Amazon Redshift Spectrum

Amazon Redshift Spectrum

Amazon S3

Amazon S3

Amazon Kinesis

Amazon Kinesis

Data Lake Platform for Distribution and Insight Generation

Solution

Quantiphi helped the customer build out the entire platform that hosts the data lake as well as build out the endpoints for data distribution. The platform enables its customers to 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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