Reduction in time to market
Estimated spend reduction per month
Meeting SLA efficiency
The customer is a large insurance Fortune 100 company that had its data stored on over twenty systems and in multiple formats which resulted in data duplicity.
Quantiphi migrated their data from multiple on-prem data sources to cloud. A cost-effective and scalable centralized data lake platform was then built on cloud by setting up an ingestion pipeline with security protocols; further enabling them to visualize and draw insights in real time.
In the platform, billing alerts were enabled for any threshold violations, AWS Lambda functions were used to start/stop services as per business hours, and AWS Glue was used for fully automated and highly scalable heavy ETL jobs.