Integration and Intelligent Decision Making and Big Data Analysis in Management Accounting

In recent years, data mining technology has received widespread attention in the development of enterprises and society. It has the function of deeply mining valuable data information from massive data, effectively saving the time and cost consumed by enterprises in data analysis, and transforming massive data information into knowledge and information that enterprises can apply in a more efficient way, thereby promoting the development of enterprises. This article applies data mining technology to the analysis of enterprise management accounting, which can provide certain optimization and development ideas for improving the level of enterprise management accounting. After 24 rounds of experimental analysis, it was found that the data lines representing the predicted results and the actual results in the sales volume prediction model of the BP algorithm were mostly fitted, indicating that the difference between the two was not significant. The error is much lower than the long short-term memory (LSTM) algorithm model.