Modernizing Data Infrastructure for Real-Time Insights: A Global Life Reinsurer’s Databricks Lakehouse Journey

Challenges

  • Data inconsistencies across LOBs
  • Manual Excel operations causing errors and delays
  • Fragmented system integration across legacy platforms
  • Inaccurate premium/claims computations due to manual logic
  • Limited data governance and lineage
  • Slow reporting turnaround time impacting business functions

Solutions

Exponentia.ai implemented a scalable and flexible data platform on Databricks featuring:

  • ETL pipelines ingesting historical + incremental loads from AWS S3
  • Medallion architecture with Bronze, Silver & Gold layers
  • Delta Lake storage optimization for performance
  • Unity Catalog for permissioning, lineage and schema evolution
  • Lakeview dashboards tailored to each business function

Key Highlights

  • 6 interactive dashboards: Revenue, Claims, Medical, Bordeaux, One View, Receivable & Payable
  • Automated premium, claims & loss ratio calculations
  • Real-time governed data accessible across departments
  • Partitioning and caching improved query performance significantly

Outcomes

  • Centralized repository replacing 1000+ Excel files
  • Reporting cycles reduced from days → minutes
  • Improved audit readiness and data reliability
  • Scalable architecture ready for AI, streaming & API integrations
  • Enhanced collaboration and operational efficiency

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Modernizing Data Infrastructure for Real-Time Insights: A Global Life Reinsurer’s Databricks Lakehouse Journey

February 24, 2026
A leading international life reinsurance provider aimed to enable real-time, data-driven decision-making by eliminating manual processes and establishing a governed, scalable data foundation. Exponentia.ai designed and implemented a centralized Data Warehouse on Databricks, automating ingestion, processing, and reporting while ensuring data accuracy, governance, and performance.
Challenges
  • Data inconsistencies across LOBs
  • Manual Excel operations causing errors and delays
  • Fragmented system integration across legacy platforms
  • Inaccurate premium/claims computations due to manual logic
  • Limited data governance and lineage
  • Slow reporting turnaround time impacting business functions
Solutions

Exponentia.ai implemented a scalable and flexible data platform on Databricks featuring:

  • ETL pipelines ingesting historical + incremental loads from AWS S3
  • Medallion architecture with Bronze, Silver & Gold layers
  • Delta Lake storage optimization for performance
  • Unity Catalog for permissioning, lineage and schema evolution
  • Lakeview dashboards tailored to each business function

Key Highlights

  • 6 interactive dashboards: Revenue, Claims, Medical, Bordeaux, One View, Receivable & Payable
  • Automated premium, claims & loss ratio calculations
  • Real-time governed data accessible across departments
  • Partitioning and caching improved query performance significantly

Outcomes
  • Centralized repository replacing 1000+ Excel files
  • Reporting cycles reduced from days → minutes
  • Improved audit readiness and data reliability
  • Scalable architecture ready for AI, streaming & API integrations
  • Enhanced collaboration and operational efficiency

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