Case Study: a Fortune 500 life insurance company improves data provisioning with Tiger Analytics

a Fortune 500 Life Insurance Company improves data provisioning with Tiger Analytics

The customer, a Fortune 500 life insurance company, faced challenges with disparate data warehouses and selective integration, which resulted in data silos and performance bottlenecks. To overcome this and unify its structured, semi-structured, and unstructured data, the company partnered with vendor Tiger Analytics to create a reliable Data and Analytics platform.

Tiger Analytics implemented a solution that included an EOM Layer, BDV Layer, and a dimensional data model. This significantly enhanced query performance and agility in gaining business insights. The project led to the easy enablement of multiple data science and BI use cases, improved data provisioning for business users, and reduced ETL congestion for the insurance company.