Research On Financial Risk Control Of Supply Chain Under Big Data Environment

In the process of supply-side structural reform of China's market economy,many SMEs need more financing funds to expand their scale in the economic environment,but they are limited to financial barriers such as poor financing channels and insufficient financing power.Credit-guaranteed supply chain finance solves this difficulty and compensates for the gap in SME financing channels.The development of supply chain finance has narrowed the financing and access conditions and increased the financial protection of SMEs.But at the same time,because of the diversification of the main platform of supply chain finance,lack of good risk control theory and practice basis,supply chain financial financing also has greater supply chain financial risk than traditional financial risk.Therefore,financial markets and financing platforms need new exploration perspectives and effective methods for the management and control of supply chain financial risks.Based on the information asymmetry and the theory of trade self-compensation,this paper studies the related literature research through logic and analysis,and uses the single case study method to study the risk control of the financial business of JD.com,focusing on the analysis of “Jingbaobei”."How to identify,how to analyze,and how to control risks in the risk control process of "Jing Xiao Loan" and "Yang Cang Jing Rong".Case studies show that JD Finance realizes the integration of the background of the times,and uses the role of big data technology in the identification,analysis,early warning and monitoring of supply chain financial risk control process,and exerts the positive impact of technology to prevent financial risks in the supply chain.The effective use of big data can effectively control financial risks from both time and space perspectives,and can gain the time advantage of supply chain financial risk control for enterprises,and can play its monitoring role in the whole financing process.Risk control is carried out throughout the process of capital flow.The strategy of using big data for supply chain financial risk control still applies to many domestic companies that conduct supply chain finance.It can also guide enterprise groups to implement big data applications,improve overall risk control efficiency and supply chain financial business efficiency.