With the wide application of big data and AI technologies, the auxiliary function of data models for enterprises' financial forecasting is becoming increasingly significant. The introduced and optimized model can more accurately improve the accuracy and effectiveness of enterprise financial forecasting and enhance the decision support ability of enterprise decision-makers. This paper mainly expounds the basic idea of the data model, reveals the key nodes in the process of using the data model to improve the financial forecasting of enterprises, and combines the discussion of the impact of forecasting improvement on decision-making efficiency, effect and synergy, providing a reference framework for enterprises to establish an intelligent and scientific decision-making mechanism.

Yuchen Liu. The Influence of Financial Forecast Optimization Based on Data Modeling on Decision Support. Socio-Economic Statistics Research (2025), Vol. 6, Issue 2: 201-209. https://doi.org/10.38007/SESR.2025.060222.

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