Research on Building a Financial Risk Early Warning Mechanism for Enterprises in the Context of Big Data

In light of the ongoing advancements in the economy and society, enterprises are increasingly confronted with uncertainties within a highly competitive landscape, which poses potential risks to their growth. Conversely, the advent of the digital economy has introduced novel opportunities for the identification of financial risks. Organizations can leverage big data technologies to establish financial risk warning mechanisms, thereby enhancing their capabilities in risk identification, improving the efficiency of financial management, and fostering sustainable development. This article primarily examines the financial risk warning mechanisms of enterprises within the context of big data. It begins with the processes of data collection and organization, subsequently constructing a financial risk warning framework based on the sequence of “financial risk identification, financial risk evaluation, and financial risk warning.” The study identifies challenges related to financial risk warning in Chinese enterprises in the context of big data and proposes countermeasures and recommendations, with the aim of providing insights for the long-term, healthy development of Chinese enterprises.