Research on the technology and method of intelligent generation of enterprise management portrait labels

This study is dedicated to building an intelligent system that can automatically profile and accurately label enterprise operational data, with the aim of optimizing the decision-making process and improving the quality of decision-making. With the help of the fusion architecture of Transformer and convolutional neural network, an innovative model suitable for processing large amounts of data and identifying complex relationships between data has been successfully created. Experiments on various types of company data sets have shown that while maintaining the accuracy of the training and verification stages, the model significantly enhances the authenticity and precision of the generated labels. Studies have shown that this system has the ability to provide enterprises with business data analysis involving multiple angles, thereby assisting in data-based decision-making, which not only enhances the efficiency of enterprise management, but also enriches the toolbox of strategic planning.