Research on Enterprise Financial Informationization Construction and Optimization of Intelligent Financial Management System

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.

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Publication Details

Journal
Accounting and Corporate Management
Published
2025-01-01
DOI
https://doi.org/10.23977/acccm.2025.070118
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
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Research on Enterprise Financial Informationization Construction and Optimization of Intelligent Financial Management System

Accounting and Corporate Management
Insurance and Financial Risk Management
article

Research on Enterprise Financial Informationization Construction and Optimization of Intelligent Financial Management System

article en

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.

Accounting and Corporate ManagementVol. 7(1)
Wuhan College (CN)
Openalex Percentile: Top 91%
Insurance and Financial Risk Management
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Research on Enterprise Financial Informationization Construction and Optimization of Intelligent Financial Management System · Accounting and Corporate Management (2025) | TGRS Research Map | TGRS