Data Analysis Technology in Undergraduate Finance and Auditing Education

Abstract

In the context of the technological revolution and the flourishing digital economy, data analysis technology is increasingly applied across various industries. Specifically, in the fields of finance and auditing, data analysis technology not only enhances the efficiency of data processing and decision-making but also promotes the transformation of undergraduate teaching models. This study aims to explore the application of data analysis technology in undergraduate finance and auditing education by analyzing its theoretical foundation, current development, practical applications, and future directions. The research finds that while data analysis technology can significantly improve teaching outcomes, it also faces challenges such as data acquisition and processing, teaching resources and equipment, and faculty training.