Enterprise Financial Risk Prediction and Prevention Based on Big Data Analysis

Abstract

With the rapid development of the times, the financial status of many enterprises has become the top priority, and the prediction and prevention of enterprise financial risks are more important. The financial risk prediction of enterprises under big data can better collect data and analyze it, which can help workers bring convenience. In order to make the public better understand the corporate financial risk forecasting, the research on the prediction and prevention of corporate financial risk based on big data analysis is as follows: (1) the broad and narrow senses of corporate finance readers gain a clearer understanding of the importance of corporate finance; (2) an introduction to the calculation algorithm of enterprise financial risk, which facilitates the staff to better calculate the financial risk of the enterprise and establish a financial risk model; (3) conduct an example investigation on a representative pharmaceutical company, analyze its various financial indicators, and compare with the indicators in the same industry to judge whether the financial data is normal; and (4) conduct comparative research on corporate finance under big data and find that big data can better prevent corporate financial risks. It is concluded that this risk prediction method is very effective. It shows that corporate financial risk is very important to social development, and based on big data, risks can be better predicted and prevented.