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CASE STUDY June 18, 2023
Unified data and analytics improve data provisioning for US life insurance company
CASE STUDY June 18, 2023
A leading Fortune 500 Life Insurance company faced challenges with disparate data warehouses and selective integration, resulting in data silos, performance bottlenecks, and untapped data potential. The goal was to create a reliable Data and Analytics platform to unify structured, semi-structured, and unstructured data, improving scalability and performance in ETL jobs and reporting.
The solution included key components like EOM Layer, BDV Layer, and a dimensional data model, significantly enhancing query performance and agility in business insights. This led to easy enablement of multiple data science and BI use cases, improved data provisioning for business users, and reduced ETL congestion, ensuring trusted data access and centralization.
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