Case Study: Aegon Blue Square Re gains trustworthy data confidence with Quantemplate automated validations

3 ways insurers are using automated validations to gain a trustworthy view of their data

Aegon Blue Square Re worked with Quantemplate to improve confidence in the quality and accuracy of its data. As an insurer handling large-scale datasets and complex transformations, the company needed a reliable way to spot issues quickly and trust the outputs enough to use them for important decisions, including pricing assumptions.

Quantemplate’s validation rules and Validation Report gave Aegon Blue Square Re an automated way to assess data quality, identify failed rows and columns, and catch merge issues in complex processes. The result was significantly higher data confidence, enabling the insurer to use insights from its data to set critical pricing assumptions and take action with greater trust in the results.

Aegon Blue Square Re

Danny Verboom

Head of Operations