Abstract
In the digital economy era, the intelligent transformation of enterprise financial management has become a key measure to enhance enterprise competitiveness. Based on the data-driven perspective, this paper systematically analyzes the theoretical basis and technical support of enterprise financial management intelligent transformation, and deeply discusses the main challenges faced by current enterprise financial management in intelligent transformation, such as technical investment, talent reserve, and data standardization. The research constructs an enterprise financial management intelligent transformation path that includes overall framework design, key technology application, process optimization, risk control, and performance evaluation. Practice shows that data-driven intelligent transformation can effectively improve enterprise financial management efficiency, reduce operating costs, and enhance risk control capabilities.
Published Version
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