What is data-driven insurance for?
Posted: Mon Jan 06, 2025 5:24 am
The context has changed dramatically in recent years, following the spread of digitalization and the evolution of data analysis tools. Today, insurance companies have access to much larger volumes of data , which come from an incredibly wider variety of sources .
As more and more policyholders move online to compare products and guatemala whatsapp resource V prices, engage in frictionless interactions, and complete or renew policies, insurers need advanced analytics technologies that enable them to leverage the digital footprints left by their customers . In addition, real-time data is increasingly available, meaning insurers can make predictions about the future based not just on past events but on moment-to-moment information. These new sources of real-time data include, for example, telematics devices that provide detailed data on customers’ driving habits, and are widely used in usage -based policies .
Insurance companies, as is now the case in any other sector, have learned to monetize data to gain a competitive advantage over their competitors. Being able to take advantage of a complete view of the customer through the acquisition of behavioral or preference information on the customer side (CDP ) is not only crucial in defining credit profiles but also allows for the development of new solutions, designing value-added services for customers, and creating useful and significant insights. Let's try to delve deeper.
As more and more policyholders move online to compare products and guatemala whatsapp resource V prices, engage in frictionless interactions, and complete or renew policies, insurers need advanced analytics technologies that enable them to leverage the digital footprints left by their customers . In addition, real-time data is increasingly available, meaning insurers can make predictions about the future based not just on past events but on moment-to-moment information. These new sources of real-time data include, for example, telematics devices that provide detailed data on customers’ driving habits, and are widely used in usage -based policies .
Insurance companies, as is now the case in any other sector, have learned to monetize data to gain a competitive advantage over their competitors. Being able to take advantage of a complete view of the customer through the acquisition of behavioral or preference information on the customer side (CDP ) is not only crucial in defining credit profiles but also allows for the development of new solutions, designing value-added services for customers, and creating useful and significant insights. Let's try to delve deeper.