Big Data Analysis In Insurance Companies

The emergence of big data and cloud computing has gradually become an important capability for social transformation and transformation of human life.The rise of big data has brought opportunities and challenges to all walks of life in the world.As one of China's important industries,the insurance industry should also realize its own progress along with this challenge.If the insurance company can make good use of big data analysis technology,it can not only promote the improvement of its internal business management capabilities,such as: potential customer development,service capabilities and broaden product output channels,etc.;it can also improve the mechanism and system construction.Functions,such as: promoting the development of enterprises in the direction of modernization,promoting the formation of the industrial chain.It can be seen from this that it is particularly important for insurance companies to make good use of big data analysis technology.This article uses the case analysis method to take the H insurance company as the specific research object,from the perspective of its internal customers,service system and marketing,combined with log likelihood function,variance,correlation formulas and other measurement methods,the company's overall The specific circumstances of big data applications are analyzed.Through analysis,while affirming that the H-insurance company's big data application has achieved certain results,it also finds that its specific application has one-sidedness.In addition,compared with other insurance companies with rich experience in the application of foreign big data analysis technology,this paper believes that there are certain gaps in the data channel,business model innovation and overall application level,which need to be further strengthened.Therefore,this article forecasts future big data analysis technology in the development prospects of insurance companies,expands data channels,applies big data analysis technology to achieve business model innovation,and improves the overall application level of big data analysis technology.The specific application path proposes relevant suggestions.