Model Construction of Enterprise Business Portrait Based on Cluster Analysis and Random Forest

This study delves into the influence of different operation modes on enterprise performance metrics. Employing the K-means clustering algorithm, enterprises were categorized into five distinct groups: marketing-led, product development-led, balanced, research and development-led, and customer service-led. The research unveiled that each operation mode exhibited unique performance outcomes, underscoring the significance of strategic alignment in enterprise operations. The product development-led group showcased the highest average revenue growth, emphasizing the positive correlation between emphasizing product development and financial success. Meanwhile, the research and development-led group demonstrated the highest average profit margin, highlighting the importance of investing in research and innovation for profitability. The customer service-led group achieved the highest customer satisfaction score, underscoring the value of prioritizing customer service in enhancing customer experiences. Additionally, the balanced group boasted the highest employee retention rate, showcasing the importance of a holistic approach to operations in retaining talent. These findings emphasize that strategic focus in specific operational areas can lead to significant benefits in corresponding performance metrics. The study not only contributes insights into the impact of different operation modes on performance but also opens up avenues for future research. Future investigations may delve into specific strategies within each operation mode, explore the impact of external factors, and consider the dynamic nature of operation modes in evolving business landscapes.