
Big data and analytics help the insurance industry balance risk assessment and risk management. By analysing the large chunks of data available, insurance companies can better understand –
Our insurance solutions make sense
Customer Segmentation
Create in-depth customer segments based on demographic and behaviour pattern data across BUs. Rate evasion – Spot rate evasion tactics during the quote process – before you issue a policy.
Cross-Sell and Up-Sell
Uncover new revenue opportunities. Predictive Analytics enables you to forecast expected customer behaviour and connect the right offers to the right customers.
Claims Analytics
Reduce loss ratios and lower adjustment expenses by applying Analytics across the claims process.
Firm-Wide Risk
Reduce the impact of risks by applying advanced analytics that allows you to anticipate risks and initiate risk control measures to minimise losses.
Fraud Prevention
Tag potentially fraudulent and unwarranted claims or policy applications and secure your money for legitimate claimants.
Underwriting Efficiency
Automate your underwriting processes and price policies optimally with dedicated and efficient scoring models.
Customer Life Cycle
Understand and anticipate life situations of your customers and always provide the best offer to boost your customer relationships.
Operational Excellence
Substantiate your everyday decision-making through risk assessments that quantify debtor or supplier reliability and provide insights into other aspects of operations.