Big Data opens a new mode of credit financing for small and medium-sized enterprises
"During the year, Big Data solved 2.1 billion yuan of pure credit loans for small and medium-sized enterprises without collateral and guarantees; and tracked and monitored the post-credit funds of small and medium-sized enterprises for the banks, totaling 10 billion yuan, and not a single non-performing ... ... "This is the "Big Data Credit Financing Practice Report and the State Council's "Implementing Opinions on Financial Support for the Development of Small and Micro Enterprises" Anniversary Media Symposium" held by China Association of Small and Medium Enterprises (CASME) and the Emerging Industries Center of China Investment Association (CIAC) on August 15, organized by the first big data credit information service in China. China's first big data credit information service organization--Jindianlianhang (Beijing) Information Technology Co.
Difficulty in financing has always been a bottleneck restricting the development of small and micro enterprises in China, and at present there are about 50 million small, medium and micro enterprises in China, which need to be solved urgently due to insufficient collateral and lack of information leading to financing problems. In the opinion of industry experts, to solve the problem of financing difficulties of small and medium-sized enterprises must be innovative credit evaluation model.
"Lack of information and credit is one of the main reasons for the financing difficulties of SMEs," said Wang Tao, executive deputy director of the Emerging Industries Center of the China Investment Association, adding that the emergence of big-data credit will be a powerful hand and breakthrough in solving this problem.
On August 8, 2013, the General Office of the State Council issued the Implementing Opinions on Financial Support for the Development of Small and Micro Enterprises, which for the first time put forward the concept of big data credit services, emphasized credit enhancement services and information services for small and micro enterprises, and for the first time incorporated big data into the state's policies for solving the financing difficulties of small and micro enterprises, which greatly promoted the application and development of big data in the field of financial credit.
One year, big data credit from behind the scenes to the front of the stage, in the solution of small and medium-sized micro-enterprises financing difficulties to play a noteworthy role. As a pioneer in China's big data credit information service organization, JDT is equipped with China's first big data credit technology system with independent intellectual property rights and three core technologies, namely, cloud data mining, cloud credit calculation and cloud structure service, which can objectively reflect and evaluate the credit of small, medium and micro-enterprises through big data and provide a solid basis for the issuance of pure credit loans by banks. It provides a solid basis for banks to issue "pure credit loans".
"'Pure credit loans' don't look at the 'financial report' but look at the 'market'". Fan Xiaoxin, vice president of the China Association of Small and Medium Enterprises and chairman and president of JDU (Beijing), said that big data credit financing does not rely on the traditional thinking of credit evaluation of financial reports, but rather analyzes the enterprise's "big data", i.e., all the information generated in the production, circulation, and sales, so as to create a high-volume, high-efficiency, Instead, it analyzes "big data" of enterprises, i.e., all information generated in production, circulation and sales, and creates a high-volume, high-efficiency, full-risk-control, and low-cost credit evaluation model, which calculates the credit limit of enterprises through computers, so that banks can confidently provide unsecured "pure credit loans", effectively solving the problems of distorted accounting information of small and medium-sized micro-enterprises and the lack of credit accumulation, collateral, and guarantee resources, which makes it difficult to carry out credit evaluations. Not only can it carry out a large number of enterprise credit evaluations, but it also greatly reduces the threshold of enterprise financing, so that it can obtain real credit loans.
At the symposium, Fan Xiaoxin introduced the industrial chain, business circle and enterprise group of small and medium-sized micro-enterprise big data credit financing practice activities carried out by JDTU in the past one year, from the use of the Internet's new concepts, new technologies, new tools to innovate the financial model, to small and medium-sized micro-enterprises operating in the "soft information" to solve the financing of the lack of information and credit problems and other 10 aspects, showing that the credit problem of small and medium-sized micro-enterprises. In 10 aspects, it shows the unique role and advantages of big data credit in the process of implementing the policies of the Party and the State and solving the financing difficulties of small, medium and micro-enterprises, as well as the profound impact of big data technology in changing the economy and society.
"The key to resolving financing difficulties of small, medium and micro enterprises lies in the fact that big data credit breaks through the traditional thinking of evaluating enterprise credit from financial reports, collateral assets and guarantee information, and instead mines credit from the detailed data of enterprise operation and calculates credit from enterprise behavioral patterns, which opens up new horizons for people to know credit, thus completely solving the problem of lack of information, lack of credit, and lack of credit in financing difficulties of small, medium and micro enterprises. financing difficulties of lack of information and lack of credit." Fan Xiaoxin said.
The reporter understands that the big data credit model of JDU has been recognized by many commercial banks, and the cooperative banks include nearly 10 banks, such as China Minsheng Bank, China Development Bank, China Postal Savings Bank, Ping An Bank, Pudong Development Bank, and Guangfa Bank, etc.; the business covers more than ten regions, such as Shanghai, Beijing, Tianjin, Zhejiang, Shandong, Hebei, Jiangsu, Anhui and Chongqing, etc., which has achieved a triple win for banks, enterprises and big data credit. It has realized a win-win situation for banks, enterprises and big data credit, and achieved good economic and social benefits.
Li Luyang, deputy secretary-general of the China Association of Small and Medium Enterprises, believes that this innovative model has become an effective tool for solving the financing difficulties of small and medium-sized micro-enterprises and has played an important role in improving the financial system to promote the development of small and medium-sized micro-enterprises.
Fan Xiaoxin said that for many enterprises, joint guarantee and mutual guarantee is both an effective way of financing, but there is also a large crisis. Once an individual enterprise's capital chain breaks, it will cause a group of enterprises to fall into the risk of guarantee circle. In contrast, pure credit loans provided by big data can make the financial risk of enterprises almost zero.
Wang Tao, deputy director of the Emerging Industries Center of the China Investment Association, also spoke highly of the important role played by big data credit in the construction of industrial investment and financing.
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