Analysis Of Operating Efficiency Of Life Insurance Companies Based On Data Mining

The key area of modern society is the insurance industry,which plays an important role in all walks of life.With the rapid development of modern society,the demand of various economic entities for risk management is increasing rapidly.It is urgent for the insurance service industry to provide comprehensive risk management and give full play to the role of social "stabilizer" and economic "booster".Efficiency is one of the most fundamental problems in economic research.For the insurance industry,while ensuring solvency and improving profitability,insurance companies can effectively allocate insurance resources and promote the flow of social resources to the greatest extent,which is the efficiency of insurance companies.From this aspect,efficiency is the comprehensive index of the input-output ability,market competitiveness and sustainable development ability of the insurance industry.In the long run,the efficiency of the insurance industry determines the sustainable development of the insurance industry.Over the past four decades of reform and opening up,China’s insurance industry has been developing in full swing,with an average annual growth rate of about 30%.Especially with the arrival of the 13th five-year plan,the insurance industry has ushered in a rare period of development opportunities.In China’s insurance industry,China life,as a leading enterprise,has the highest operating level and efficiency.This paper USES the super efficiency DEA and Malmquist index model,the use of DEA Slover and DEAP software,choose the life insurance industry in our country in 11 companies as sample,it is concluded that the operational efficiency of the life insurance industry in our country from 2006 to 2018,and focus on the China life insurance co.,LTD and the analysis of the factors affecting the efficiency of decomposition,the results show that the overall effectiveness of the management efficiency of the life insurance industry in our country,China life insurance co.,LTD as a leading industry,management level is stable.In this paper,statistical analysis,case analysis and data mining methods are effectively applied to improve the efficiency of data analysis and the accuracy of research.However,there are still shortcomings in the process of data collection and efficiency analysis in this paper,which are mainly manifested in the deviation of results caused by the lack of data,and the lack of profound research and analysis due to the limited academic level.Future research will pay more attention to the application of artificial intelligence in the insurance industry,adding impetus to the green and sustainable development of the insurance sector.