Design and Research of Insurance Survey Claims System Based on Big Data Analysis

In order to overcome the cumbersome procedures of insurance investigation and claim settlement and the difficulty of precise promotion of insurance services for specific customers, this paper proposes an insurance investigation and claim system based on big data analysis. This method is developed on the basis of agile model. It has case information management, investigation information management, claim settlement management, intelligent insurance recommendation, etc. Intelligent customer service and other core functions, relying on Web, mobile applications and social networks for data collection, filtering and real-time analysis of the collected large data information, using Hadoop framework to convert structured data into semi-structured or unstructured data, storage of data information, through advanced analysis, prediction model Type and visual query, mining and analyzing the extracted data, and finally displaying the results after analysis. The experimental results show that the insurance survey and claim system completes the business processing of one-click report, survey photos upload, efficient claim settlement and insurance recommendation, speeds up the claim processing speed, and realizes the personalized service and precise marketing of customer insurance.