Business Impact

  • 70%

    Increase in Operational Excellence

  • 83%

    Decreased time to market

Customer Key Facts

  • Location : North America
  • Industry : Healthcare

Problem Context

The client is a healthcare insights provider that works on large scale, sensitive, unstructured customer healthcare data. Client sought to develop a healthcare insights cloud platform to manage their native data management solutions



  • Providing Data Life cycle 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

Amazon S3
Amazon EC2
Amazon ECS
Amazon Redshift
Hortonworks Data Platform
Apache Kafka


Quantiphi developed  an HDP platform and deployed on EC2 leveraging Kafka and Kerberos. 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 experience for their patients at lower costs


Successfully standardized data processing and increased operational efficiency by 70%

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