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

Geo-spatial analytics offer new ways to personalise customer experiences, enhance risk assessment, optimise underwriting and accelerate claims processing. Examples include visualising 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.