Analysis of the Role of Economic Management in Enterprise Management in the Context of the Information Age

In this paper, the PCNN model is used to reduce the noise of massive enterprise financial data, and the automatic adaptive domain selection method is introduced to complete the dimensionality reduction of enterprise financial data. Based on the clustering algorithm to accurately classify enterprise financial data, combined with the advantages of PSO algorithm to optimize the feature set and kernel function parameters to improve the prediction accuracy of the SVM model, and construct the enterprise financial crisis early warning model of PSO-SVM. Analyze the assets and operating profits of the sample enterprise, screen the financial indicators according to the established PSO-SVM model, and calculate the weights and warning intervals of each indicator. Combine the existing data to analyze the economic warning state of the enterprise, and implement enterprise management in combination with financial and economic conditions. Comprehensive leverage of the index weight of 0.0049 ± 0.0011, and early warning index of 12.793681 > 1.51, seriously out of the normal range, the company’s managers need to strengthen the management of the economy comprehensive leverage index, the development of decision-making programs in line with the development of the enterprise. The economic and financial management using information technology can promote the benign development of enterprises.