Client Overview
A global insurance and reinsurance firm responsible for managing cover holder submissions and onboarding data for new business entities across geographies.
Problem Statement
- Inconsistent file submissions caused frequent compatibility issues with internal systems.
- Manual processing of entity-level data consumed a full workday, introducing delays and increasing the risk of human error.
- Lack of automation made data integration inefficient and error-prone.
- Increased data volume from expanding portfolios strained operational bandwidth.
Solution Provided
To resolve these challenges, Decimal Point Analytics implemented a custom Excel-based automation tool part of its Risk Management and Reporting Solutions designed for high-volume entity processing. The solution included:
- Structured data import pipelines to standardize raw file formats into system-compatible templates.
- A fully automated data validation and preparation workflow, minimizing manual oversight.
- Enhanced accuracy and consistency in entity onboarding using our Data Management Solutions.
- Reduced reliance on internal resources while boosting overall operational throughput.
Outcome
- Processing time reduced by 20–25%, shrinking the task from a full day to a few hours.
- Scaled operations to handle more workload with the same team.
- Improved accuracy in entity data through built-in validation logic.
- Delivered a reliable and scalable solution that increased overall client satisfaction.
Key Takeaway
Automating bordereau processing doesn’t just improve turnaround—it builds scalability, accuracy, and long-term operational resilience.
Facing similar data challenges in insurance operations? Talk to our experts to explore how our Insurance & Reinsurance Analytics and Automation Solutions can help you reduce errors, boost accuracy, and increase efficiency.
