Evaluation and Selection of Insurance Marketing Schemes Driven by Multisource Big Data

Insurance marketing is a discipline that maximizes the benefits between policyholders and insurance companies. A big data-driven approach combined with promotions can leverage wealth of empirical data to develop new customers, motivate existing customers engage in more activities, retain customers. business involves wide variety scopes types, it labor-intensive resource-intensive rely solely on personnel process these tedious data. The find correlations perform automatic prediction matching according characteristics data, which saves lot time labor costs. This research uses mining method neural network mine predict business. accurately capture factors such as type amount policyholder. results show technology have high accuracy feasibility predicting business, error within 2.38%, linear correlation exceeds 0.96. used this study has both terms retention old