Exploration of Enterprise Financial Management Innovation Based on Accounting Informatization under the Background of Big Data

Abstract

This paper first demonstrates an enterprise-intelligent financial management platform built on big data technology. Secondly, KPCA is used to preprocess financial data to improve the accuracy of financial data warnings and combined with the XGBoost algorithm to construct a financial warning model to analyze the enterprise’s economic crisis. Finally, the enterprise’s intelligent financial management platform underwent performance testing and prediction analysis. The results show that when the number of concurrent users is 100, the average response time of the platform is 1.94s, and the error rate of the system is about 0.5%. The platform can also predict and analyze financial data of the enterprise, which can help the enterprise better understand its financial situation and formulate a development plan. In summary, accounting automation can promote the development of enterprise financial management innovation. Intelligent financial management platforms can further realize enterprise accounting informatization to help enterprises achieve good economic development.

Keywords

• accounting informationization
• financial management platform
• kpca
• xgboost algorithm
• financial early warning
• 68t05