Automated Analysis and Optimization Strategies for University Financial Budget Management Based on Big Data

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Jun Liang, Ling Pu, Weiwei Sun

Abstract

With the development of the world economy, the number of universities is showing a trend of diversified development, and the scale and mode of education are also constantly changing. From the perspective of financial shared services, this paper deeply analyzes the necessity, feasibility, and feasibility of optimizing the current financial management model in universities, and proposes corresponding suggestions from multiple dimensions. Optimize financial management mode through big data analysis technology and achieve informationization of financial management. This provides assistance for universities to make up for financial management deficiencies, enhance risk defense capabilities, and improve information transparency, as well as new ideas for private universities to improve the quality of cross regional education.

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