Research on Automation and Intelligence of Accounting Data Processing in Big Data Environment

The automated accounting data processing system under the big data environment can realise the automation of data collection and confirmation, effectively improve the efficiency of accounting data processing, provide detailed accounting data of economic matters, and meet the increasing internal and external information needs. This paper constructs a mathematical model of accounting data processing, sets the correlation matrix of balance and incurred amount, respectively, and determines the current value after the matrix operation using the formula. A complete accounting data processing system is established from eight aspects, such as statement transformation and analysis, principal-volume-profit analysis, and so on. Add the BP artificial neural network structure, visualize the final output vector produced by it, and identify the components of automated accounting data processing. Set the experiment-related parameters and use a combination of comparative experiments and empirical analysis to evaluate the effects of automation and intelligence on accounting data processing. After completing the construction of accounting data processing automation, the annual manual accounting efficiency days of the subject enterprise decreased from 3.875 in 2017 to 1.92 in 2022, and the efficiency of manual cost accounting was improved. The gearing ratio diminishes annually, from 72 in 2017 to 68 in 2022, and the test enterprise’s long-term solvency is on the rise.