Logistic Regression Analysis of Operational Risk and Financial Management in Cloud Accounting Model in Big Data Environment

Abstract

In the production activities, from the financial risk can detect the risk of the enterprise's various business activities, the management of financial risk will also be for the enterprise's business management, capital utilization to improve the proposal. This paper constructs a logistic regression model, uses the great likelihood estimation method to solve the model, and derives the formula for calculating the parameter estimates according to the Logistic function. The sample of the tested enterprise is established, and the model of financial early warning index system is constructed by combining the reasons for the formation of enterprise financial risk and related research. The model is applied to the estimation of the financial risk level of enterprises after passing the test. During the period of 2020-2024, the financial risk warning value of the subject A enterprise is 73.6563, 55.877, 63.3313, 74.9454, 84.545, and the risk level is level 8 risk, level 6 risk, level 7 risk, level 8 risk, and level 9 risk, respectively, and the financial risk of this enterprise is increasing year by year. Analyzing the specific financial indicators of this enterprise, the cash ratio declined slightly from 0.9264 in 2020 to 0.8496 in 2021, and has been fluctuating during 2021-2024, with a value lower than 1, which indicates that the actual quality of profitability of this enterprise is not good, and it needs to draw the attention of the management. For the financial management problems of enterprise A, relevant countermeasures are proposed.