Predictive Analysis for Having Loyal Customer

In today’s world as health issues among people increases, people become more aware for the health insurance. It’s a positive thing for the health companies but as the no. of customers increases, it is come into light that people are not punctual for paying the premium of the policy. This paper helps the policy companies to highlight and point out the defaulters who haven’t paid their premium. Mostly people forget about it, and some of them not paying the premium on time. In this research paper, I tried to understand the consumer behaviour in Insurance sector. The main objective of this paper to identify customers behaviour of paying the policy premiums and will they pay their next premium on time or not. Even will they pay their premium or not irrespective of time. Data was collected by various sites and some previous years data of some policy companies. Frequencies, Tabulation and some Data Science models have been used for the analysis. The objective of this project is to summarize is to make a predicting algorithm that can be used in real life applications to derive meaningful and accurate prediction based on the various aspects of data that is accessed.