The creation of innovative private enterprise management models has emerged as a key strategy for boosting businesses’ competitiveness in the context of big data’s explosive growth. This article examines the particular innovation route in the private enterprise management model based on big data technologies. In order to accurately characterize the management model innovation characteristics of large enterprises as well as small and medium-sized enterprises, the study performs classification analysis on private enterprises of various sizes. Additionally, it constructs an evaluation model to assess the management innovation capabilities of private enterprises and chooses representative indicators. Factor analysis results demonstrate that four key factors-quality, category, promotion, and price-can be extracted from the original multivariate data using dimensionality reduction, offering a scientific foundation for the development of an innovative corporate management model. According to the study, big data-driven management model innovation can greatly increase private companies’ operational effectiveness and market flexibility while laying the groundwork for their long-term growth in a highly competitive environment. The goal of this work is to offer theoretical justification and useful recommendations for optimizing private company management models in the big data era.
