Insurance

Our Solutions

Acquisition Channel Analytics

  • Performance Analysis by Broker
  • Cost of Acquisition Analysis
  • Digital Marketing Analysis
  • Cross-Sell / Up-Sell
  • Incentive Optimisation

Claims Fraud Analysis

  • Fraud Detection
  • Adjuster Note Analysis
  • Network Link Analysis

Loss Ratio Modelling

  • Frequency Modelling
  • Severity Modelling
  • Rate Making

Subrogation Analytics

  • Claim Documents NLP

Lapse Analysis

  • Cancellation Probability Analysis
  • Price Elasticity Analysis
  • Claims Experience Analysis
  • Competitive Market Analysis

Regulatory Compliance

  • Economic Modelling
  • Solvency II

Case Studies

blog grid image

Grew annuity business of a life-insurer by 7%

Built multiple statistical models that qualified leads from credit bureau. With the newly developed acquisition strategy, the insurer was able to grow their new premiums by 7% keeping the same acquisition cost.

blog grid image

Reduced premium cancellation rate by 5%

Built a statistical model to proactively identify the list of policyholders that have a high chance of not renewing their policy. With proactive offers based on customers’ price elasticity, the client was able to reduce premium cancellations at portfolio level.

blog grid image

Reduced claim fraud by 4%

Used natural language processing (NLP) and advanced analytics on claims data and identified many fraudulent claims and subrogation opportunities for an auto insurance provider. The new strategy reduced claims by 4% which ran into millions of dollars.