Research On China Customs Risk Management Based On The Big Data Background

The rapid growth of modern international economic and trade exchanges poses more and more challenges to China's customs work.Risk management,as a relatively advanced management method,has gradually been integrated into the reform of China's customs.With the continuous development of the economy,the in-depth application of the Internet and the maturity of cloud computing,the wave of big data is sweeping across all aspects of the current economy and society,and its influence on all walks of life is also deepening.The economy and society are gradually entering the era of big data with data value mining as the core.Under the background of the big data era,customs should embrace and use big data actively,actively explore and establish the application of big data in customs risk management,innovate and develop,improve the risk prevention and control ability,and solve the difficult problems faced by customs risk management.This paper takes risk management as the core,big data as the background,combined with the actual development and application of risk management in the customs,guided by statistical sampling theory,risk management theory,internal control theory and other relevant theories,drawing on the theories and experiences of risk management and customs risk management at home and abroad,aiming at the characteristics of big data application,combined with the current risk management mode of domestic customs,and proceeding from the reality of risk management,studies how to realize the application and operation of customs risk management to big data.Through analyzing the problems faced by G Customs in risk management at present,this paper analyzes the existing problems and puts forward relevant countermeasures and suggestions.