Framework and Change Path Analysis for the Improvement of Accountants’ Data Analysis Capability in the Era of “Digitization”

Abstract

This paper first analyzes the importance of data analysis skills and uses information mining to discover valuable accounting knowledge. Secondly, in the process of calculating the weights of indicators, the Bayesian network classifier is used to enhance the data mining technology, filtering and processing the interfering information and redundant information to ensure the effectiveness of professional competence data acquisition. Finally, the framework of professional competence of accounting talents was constructed, the path of accountants’ change was analyzed, and the design of the numerical intelligence curriculum system was completed. The results show that the rating of data analysis ability is 4.63, and the average score of the others is roughly around 4, which proves the feasibility of the Numerical Intelligence Curriculum System.

Keywords

• information mining
• metrics weight calculation
• data mining
• bayesian networks
• numerical intelligence course
• 68p05