Research on Risk and Prevention of Internet Financial Products based on Big Data Analysis

Abstract

In recent years, with the rapid development of the Internet, Internet financial products (hereinafter referred to as IFP) have developed rapidly, which not only improves the efficiency of capital utilization, but also promotes the development of finance. However, there are still many problems in the use of IFP, which not only cause great losses to financial institutions, but also seriously damage the property safety of ordinary people. Internet finance is a new form of finance, which has higher investment risk. Therefore, in the context of big data, we should analyze the risks of IFP through data mining and other technologies, which will better ensure the safety of investors. Through various measures, we can prevent the risks of IFP, which will promote the healthy development of Internet finance. Firstly, this paper analyzes the related concepts. Then, this paper analyzes the classification and risk categories of IFP. Finally, some suggestions are put forward.