Author(s)

Zhong Wang ¹

Affiliation(s)

¹ Wuhan College of Arts and Science, Wuhan, 430000, Hubei, China

Corresponding Author

Zhong Wang

ABSTRACT

In the current context of rapid development of digital economy, enterprise financial management is facing increasingly complex internal and external environments, and the traditional financial management model has been difficult to meet the needs of intelligence, refinement and efficiency. This paper analyzes the status quo and development trend of enterprise financial informatization construction, and clarifies the important role of informatization in improving the efficiency of financial management; from the three dimensions of data-driven decision-making support, financial process optimization based on artificial intelligence, and the deep integration of informatization and intelligence, it discusses the key elements of the optimization of the intelligent financial management system and the path of achieving it; finally, it evaluates the effect of optimized intelligent financial management system through a typical case, and verifies that it can meet the demand of intelligent financial management and improve its efficiency. Finally, the optimized intelligent financial management system is evaluated through typical cases to verify its significant role in improving management efficiency, reducing operating costs and enhancing decision-making science. The study shows that promoting the organic combination of informationization construction and intelligent management can not only improve the overall level of enterprise financial management, but also provide an important guarantee for enterprises to achieve sustainable development.

KEYWORDS

Financial Informatization Construction, Intelligent Management, Optimization, Enterprise Financial Management System

CITE THIS PAPER

Zhong Wang, Research on Enterprise Financial Informationization Construction and Optimization of Intelligent Financial Management System. Accounting and Corporate Management (2025) Vol. 7: 124-131. DOI: http://dx.doi.org/10.23977/acccm.2025.070118.

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