Geo-spatial analytics offer new ways to personalize customer experiences, enhance risk assessment, optimize underwriting and accelerate claims processing. Examples include visualizing accumulation risk analyses to identify “hot” and “cold” areas of exposure to support Underwriting risk management.

Challenges include integrating fragmented data sources, ensuring data accuracy, maintaining up-to-date geospatial datasets, and managing high resource and technical demands.

Join us to hear about Tower's implementation of Carto to support risk-based pricing, and for a wide-ranging discussion about applying geo-spatial analytics within insurance and other sectors. Meet new members of InsurTechNZ and find opportunities to collaborate.

InsurTechNZ: Applying geo-spatial analytics to improve the customer experience in insurance

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