基于大数据的保险数据分析研究

Insurance Data Analysis Based on Big Data

以四川人寿保险的客户数据作为研究对象,该公司的数据分为四张表分别为新投保、续保、退保、理赔。对这些表采用SPSS、Excle,对数据进行一个数据预处理,然后对数据表的部分数据进行分组筛选然后运用频率分析、单因素方差分析、探索分析、相关性系数分析、等数据分析方法对该项目的四个数据表进行大数据分析。直观地得出该保险公司的市场价值,潜力和存在风险,进而针对性提出问题和建议。

Taking the customer data of Sichuan life insurance as the research object,the company's data is divided into four tables,namely new insurance,renewal,surrender and claim settlement.SPSS and Excel are used to preprocess the data,and then some of the data in the data table are grouped and screened.Then the data analysis methods of frequency analysis,one-way ANOVA,ex⁃ploratory analysis,correlation coefficient analysis and correlation bivariate analysis are used to analyze the big data of the four data tables of the project.Intuitively get the market value,potential and risk of the insurance company,and then put forward more target⁃ed problems and suggestions.