Case Study: Large Insurance Company achieves faster, more secure data insights with Quantiphi's centralized data lake

Large Insurance Company - Customer Case Study

Quantiphi worked with a Large Insurance Company that had data spread across 20+ on-premises systems and multiple formats, creating data duplication, high ownership costs, and slow integration across teams. The company needed a single scalable cloud architecture with a centralized data repository to securely store, ingest, and analyze highly confidential insurance claim data in real time.

Quantiphi implemented a centralized, scalable, and secure data lake platform using AWS Lambda, Amazon EMR, Amazon RDS, AWS CloudFormation, Apache NiFi, and Apache Atlas. The solution improved data structure and queryability, enabled actionable insights, and delivered measurable gains including over 95% SLA efficiency, 70% time saved in end-to-end analysis, and infrastructure setup reduced to 10 minutes.