Research on the Construction of Intelligent Decision Support System for SMEs Under Multi-Source Financial Data Fusion

Zhijun Liu

doi:10.71222/0f0km650

Authors

Zhijun Liu Fordham University, New York, NY, USA Author

DOI:

https://doi.org/10.71222/0f0km650

Keywords:

Intelligent Decision Support System, SMEs, Financial Data Fusion, Decision-making, Operational Efficiency

Abstract

This research article explores the construction of an intelligent decision support system tailored for small and medium-sized enterprises (SMEs) by leveraging multi-source financial data fusion. The study introduces a systematic framework to integrate diverse financial data sources, optimize decision-making processes, and enhance operational efficiency. By employing advanced computational methods and data fusion techniques, the proposed system addresses the unique challenges faced by SMEs in financial decision-making. The findings highlight the potential of intelligent systems in transforming SME financial management and provide actionable insights for future implementations.

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