success story

Top U.S. insurance company gains 40% efficiency

Leveraging Virtusa and AWS’s capabilities


Our client is one of the top 3 life insurance companies and the largest mutual life insurance company in the United States. The client had a Hortonworks Data Hub platform that was obsolete and was at the end of its life. This data platform had to be migrated to the latest technology and be future-proof while addressing existing challenges, helping the business become faster and more efficient at decision making. 

The Challenge

Our client had a Hortonworks Data Hub platform, which reached end-of-life support and needed to be migrated to a platform that supports future requirements and addresses current challenges with minimum development efforts. The existing platform had many challenges like:

  • Performance issues, especially when a DB query and a batch load run simultaneously 
  • Scalability issues in meeting BI workloads on-demand reporting needs
  • Data recovery processes
  • Data validation processes

Our top priority was to address all these challenges while designing a new data platform solution and build secure, well-governed, reusable enterprise data assets to drive business insights and enable the business to make faster and more efficient decision making.

The Solution
Top US insurance company gains 40% efficiency using AWS capabilities

Virtusa collaborated with the client SMEs to develop a modern data platform strategy leveraging various AWS cloud capabilities, predominantly Redshift.

  • Virtusa as a strategic technology partner, collaborated with the client to develop a plan to modernize the current data platform on top of AWS Cloud Services.
  • The technology stack includes data ingestion capabilities, raw data storage, and data structuring. It will further leverage an array of proven, industry-leading tools available in AWS.


The Benefit
  • Modern architecture that allows processes to run simultaneously without conflicts
  • Compute resources that can be scaled automatically in a controlled environment to meet spikes in demand efficiently
  • Backup strategy for point in time Object recovery 
  • Data replication leveraging cloud capabilities
  • Automation to support code promotion across environments
  • The process to minimize the use of clear text PII data and tenant zones by conforming PII data to Data Governance standards before tokenization
  • 40% efficiency gain using a new metadata-driven PySpark framework to apply data governance standards
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