Sales Accounting Big Data Analysis Based on RPA and Big Data Algorithm

Enterprise management and financial analysis are inseparable from the mining and utilization of massive data. As an indispensable part of enterprise data analysis and prediction system, sales accounting needs to be paid attention to. In this paper, RPA technology and big data algorithm are used to capture and correlate the relevant data of sales accounting, which can make the system run more accurately and faster. This paper mainly uses the association rule algorithm of data mining to design the sales accounting data analysis experiment. In this experiment, the MR-PARIRM algorithm proposed in this paper has a maximum running time of 1800s and a minimum of 600s, which is a relatively fast method among other algorithms. RPA and big data algorithm can effectively improve the efficiency of sales accounting, reduce the error rate, and improve the accuracy and reliability of data. At the same time, this method can also help enterprises to better understand customer needs, optimize product pricing strategy, and improve market competitiveness.