Research On Financing Risk Management Of Big Data Companies In My Country

With the advent of big data era,big data emerging enterprises,which mainly focus on data processing,data mining and data analysis,have also risen.The analysis and research of big data industry is of great significance to the development of this industry.In recent years,scholars at home and abroad have also risen to the research of big data enterprises,and the research of this new industry has become a hot spot for a while.Based on big data enterprise,this paper studies and analyzes the financing risk of big data enterprise,and establishes Logistic model to analyze the financing risk management of big data enterprise.In this paper,SPSS and other big data processing tools are used to analyze and study the quarterly sample data of 106 big data enterprises from March 31,2014 to December 31,2017.In the process of theoretical research,first of all,the development and literature of financing theory and risk management theory at home and abroad are comprehensively analyzed.Secondly,The internal financing and external financing of big data enterprises and big data enterprises are defined.Then it summarizes the development status and existing problems of big data enterprises.In the process of empirical analysis,4% of the dimension reduction is obtained by principal component analysis through the selected index data.Each principal component factor.Then the cubic Logistic regression model of the training set is run,and the goodness of fit of the model is evaluated by the method of H-L test,and the goodness of fit of the model is evaluated by the method of H-L test.The Logistic model is established by using the result that the third goodness of fit is the best and the prediction accuracy is 86.17%.The equation is analyzed concretely,and then the established Logistic model is analyzed by Logistic regression analysis of the test set.The final accurate prediction degree is 81.26%.Then the significance of distribution in the second classification of the model is tested by double sample K-S.The ROC curve is used to test and analyze the effect of the model,and the final model passes the test and can distinguish the defaulting enterprise from the normal enterprise very well.Finally,the paper puts forward policy suggestions for big data enterprises at present,and summarizes the shortcomings of the research and the prospect of the future.