In this study of data collection and visualization application of VMware Workstation virtualization technology in university teaching management, data processing is performed by the SQLServer database processor using VMware Workstation virtualization technology, and finally the radial-based teaching comprehensive evaluation neural network index is used to calculate the quality of teaching management to China’s teaching team is gradually balanced and the comprehensive quality of teaching team is improving; the academic atmosphere is more open; the fields and perspectives of academic research are richer; the distribution of teaching at all levels in China is more balanced, the comprehensive quality of teaching in China is improving, the system of education and scientific research in China’s colleges and universities is improving, and the ecological management system of colleges and universities is improving, and so on. It is also proposed to improve the academic level and establish a strict institutional threshold for the teaching industry in colleges and universities; to effectively implement the policy of freedom and equality in academic and scholarly circles, and improve the system of teaching, principal appointment, and evaluation in higher education institutions; to insist on implementing the principle of academic fairness and optimizing the teaching evaluation system; to innovate and implement the incentive mechanism of teaching in colleges and universities according to the characteristics of talent training of teaching academic career ability; and to establish the access system of teaching career development in colleges and universities to promote academic career development and other suggestions of big data management of teaching in colleges and universities.

After the outbreak of the epidemic, the external environment has changed, affecting social and economic development. In the unfavorable economic and social environment, the behavior of many businesses and consumers has also changed. Therefore, companies do not have enough income and expenditure, which leads to the breakage of their capital chain or even bankruptcy. As a result, proper financing has been critical for many businesses in the near term. Today, listed companies are mainly financed from internal financing, equity, and debt. Generally speaking, most companies prefer debt financing because equity financing costs can be deducted before taxes and investment costs are lower than equity financing. Enterprises face certain risks when choosing debt financing; in addition, they also face the risk of future repayment. This paper adopts the research method of DEA-Malmquist index for analysis, which can effectively help enterprises avoid or reduce the risk of debt financing and is worthy of in-depth research and exploration by entrepreneurs and scholars.