Outline

Ingegneria Sismica

Ingegneria Sismica

The Development of a Corporate Financial Data Analysis System in the Context of the Digital Economy’s Advancement

Author(s): Xianrong Li1
1Smart Finance and Business School, Hefei College of Finance & Economics, Hefei, Anhui, 230000, China
Li, Xianrong. “The Development of a Corporate Financial Data Analysis System in the Context of the Digital Economy’s Advancement.” Ingegneria Sismica Volume 43 Issue 1: 1-16, doi:10.65102/is2026357.

Abstract

The digital economy has evolved rapidly, and some companies have begun to use the digital intelligence approach to self-improvement. The company’s financial data analysis system was designed to help companies make smart decisions in financial management by collecting and viewing financial data. The system combines budget management, cost control and financial risk management and selects the corresponding financial index. The study later added Benford Law to assess the quality of financial data and developed a Benford-RF prediction model, which used to do financial analysis, where random log is an integrated learning model. Therefore, it is more effective to predict the financial situation of the company. In addition, in the real case, the accuracy of the use of this model for forecasting the financial position of M is 92.5%.

Keywords
Benford’s Law; Random Forest; Predictive Modeling; Financial Analysis; Digital Economy

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