Case Study: Insurance Bureau achieves faster, more accurate liability estimates and stronger risk management with TIBCO Software

Insurance Group Strengthens Risk Management with TIBCO Statistica

An insurance bureau that represents member companies handling uninsured, international, and untraced claims faced a growing challenge: bodily injury claims had risen to about 45% of cases and often unfold after the initial accident, while critical details were buried in unstructured accident reports, witness statements, and claim narratives—making timely, accurate liability estimates slow and difficult.

The bureau implemented TIBCO Data Science to automate text and data mining of unstructured documents, allowing users to index, classify, and extract insights more quickly. As a result they can predict serious medical claims earlier, improve accuracy of liability and damage estimates, detect fraud patterns, identify road‑safety improvements, and offer richer analytic services to members with outputs that business users find easy to understand.