Through data analysis methods, it is possible to effectively improve the rationality of resource allocation and reduce cost consumption. This article explores the optimization of resource allocation and cost savings based on data mining. Analyzed the current problems of uneven distribution of resources, low efficiency of conventional allocation methods, and inconsistent cost management goals, and proposed corresponding improvement measures. This includes flexible adjustment of resource allocation through real-time data analysis, enhancing allocation efficiency through intelligent scheduling programs, establishing predictive algorithm models to improve cost management, and promoting cooperation between different departments to ensure synchronization of resources and cost targets. These strategies provide effective solutions for improving resource allocation efficiency and achieving cost savings.

Xinran Tu. Resource Allocation Optimization and Cost Saving Analysis Based on Data Mining. International Journal of Business Management and Economics and Trade (2026), Vol. 7, Issue 1: 1-9. https://doi.org/10.38007/IJBMET.2026.070101.

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