Abstract
The emergence of supply chain finance has reduced the financing costs of SMEs. Due to the development of a diversified supply chain financial subject platform, there is a lack of risk control in terms of theory and practice. Big data is generated in Internet applications and combined with information technology to form big data technology. It can provide financial institutions with large-scale data analysis methods and can effectively improve the efficiency and ability of financial institutions to serve supply chain members. However, big data has some problems, such as higher processing cost, lower authenticity, and difficulty in effectively protecting the privacy and security of users. There are many problems with this new development model. This article focuses on the risk problems faced by supply chain finance. It discusses the use of big data technology to effectively solve the supply chain financial risk problems, and gives some measures that can be effectively solved for how to effectively avoid these risk factors. By effectively solving the financial risk problem in the era of big data, it provides guarantee for the benign development of enterprises, and provides a certain reference for researchers engaged in related fields and workers in this field.
Highlights
After the development of Internet technology in recent years, it has become very mature, and the application of Internet has been popularized in the whole society
In the process of using big data technology to manage supply chain financial risks, there are still some problems that need to be addressed in a targeted manner
Due to the complex external market environment of Internet supply chain finance, on the basis of internal risk management and control and common information technology risk prevention, big data technology is included in the risk identification of Internet supply
Summary
After the development of Internet technology in recent years, it has become very mature, and the application of Internet has been popularized in the whole society. During the process of accessing the network, a large amount of data information is generated [1]. The scale of these network data continues to expand, making big data and related technologies a typical feature of the era. Facing the development environment of big data, there are many risks in supply chain finance, and it is necessary to use big data technology to manage and control financial risks [3]. In the process of using big data technology to manage supply chain financial risks, there are still some problems that need to be addressed in a targeted manner. With the guarantee of credit injected by core enterprises, the development of supply chain finance has broadened the financing channels of SMEs, and the financing difficulties of SMEs have been effectively alleviated [4]
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