The Feasibility Analysis Of Application Of Big Data Technology In International Trade Financing

Financing function is one of the most important functions of commercial banks as a financial circulation, so the credit business has always been the fundamental and the foundation of commercial banks, meanwhile the spread of various types of credit business has been one of the most important source of profits in China's commercial banks. However, with the deepening of the interest rate reform of China's capital market, gradually expanding of the degree and range of opening to the outside world and various institutions including financial ones and non financial ones, even domestic and foreign private capital through other ways to participate in market financing, development of the traditional credit business is experiencing a greater resistance. At the same time, the international trade attracts more and more enterprises and penetrates to all kinds of banking business day by day with the deepening of economic integration in the world. With lower risk, lower cost, higher margin, the trade financing business becomes the focus of the commercial banks to gain profits and expand, which also brings micro, small and medium-sized enterprises the hope of solving the difficult problem of financing in trade. However, commercial banks haven't timely improve their risk management means, still dealing with trade financing business in accordance with the requirements of traditional credit business, unable to substantially reduce the financing difficulty of micro, small and medium-sized enterprises. And in recent years, along with the gradual development of the information technology and data analysis of theoretical knowledge, the big data analysis technique is more and more applied to the financial sector and used widely, especially in personal credit and micro, small and medium-sized enterprises short-term financing, which is proved effective. The big data analysis technology's success in these areas weakens adverse evaluation factors that the original credit approval of micro, small and medium-sized enterprises, changes the forms of business and risk control methods and effectively promote the business by making it back to itself. But whether the big data analysis technology can be applied in the international trade financing business of micro, small and medium-sized enterprises to solve their financing difficulties is still unknown. Benefited from the past historical experience and inspired by successful application of practical operation, after sorting the situation of the international trade business and big data analysis technology, consulting the practical application of the big data from several internet companies and commercial banks, this study tries to investigate some typical micro, small and medium-sized enterprises that involved in international business and trade financing business in recent years by issuing questionnaires through network and face to face, summarize the information of the complete business and expected business originated from international business and trade financing business by SPSS and analyze the fact that whether the big data analysis technology can be used in the generalization and management of micro, small and medium-sized enterprises relating to international business and trade financing business or not. Based on the investigation data and information, contingency table analysis and correlation analysis are used to find the relationship between the expected credit and willingness to provide information, ability to provide information of micro, small and medium-sized enterprises. The result comes out that they are not associated, which indicates the amount and quality of the data are not the leading factors affecting the credit number. The application of the big data analysis technology on international trade financing does not cause errors for data, instead, brings the trade financing business nature back to the trade financing because it can analyze them depending more heavily on the information contained in the data and makes decision support. All these illustrate well that the big data analysis technology can be used in the international trade financing business of micro, small and medium-sized enterprises. The application of big data analysis technology is not enough when it comes future development trend and innovation direction of the trade financing business of commercial banks in China. This study also proposes to improve the financing risk control measures, sets up specific credit evaluation system for trade financing and provides customized services for micro, small and medium-sized enterprises, in order to well solve the financing problems of micro, small and medium-sized enterprises in international trade.