Automated Claims Experience Dashboard for a Life Insurance Company
This major life insurance company relied on manual spreadsheet-based workflows to analyse claims experience. Data was extracted from multiple systems, manually cleaned, and merged to produce static monthly summaries. This process was time-consuming, prone to version control issues, and limited the company's ability to quickly respond to changing claims trends or emerging risk patterns. Management required a modernised, automated system capable of integrating multiple data sources, standardising data structures, and presenting results through a secure, interactive dashboard.
Key Results
The Challenge
A major life insurance company needed a more efficient and transparent way to monitor and analyse its claims experience. The existing process involved manual data extraction, cleaning, and spreadsheet manipulation to produce monthly reports.
Our Solution
We developed a fully automated claims experience system that extracted data from internal policy and claims sources, cleaned and standardised the information, and produced an interactive dashboard delivering real-time insights.
Implementation Process
Conducted system audit to map data sources and identify integration requirements
Designed and implemented an automated ETL pipeline for daily data ingestion and transformation
Built data validation and exception-handling routines to ensure data integrity
Developed a centralised data model supporting both historical and live claims experience analysis
Created a secure, user-friendly dashboard with drill-down capabilities by product, duration, and cause of claim
Deployed the solution within the company's cloud environment with role-based access controls
"The automation of our claims experience has been transformative. We now have instant visibility into trends and performance, allowing us to respond faster and with greater accuracy. The dashboard has become an essential tool for our actuarial and management teams."
Technologies Used
What's Next
The company is now exploring extending the automated experience analytics framework to include policyholder behaviour analysis and predictive modelling for claims forecasting.