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The article touches upon the consideration of corporate management strategies aimed at maintaining the company in the conditions of the economic crisis. The authors highlight the signs and causes of the recession of 2020 as well as the actions taken to stabilize the economy in Russia. The necessity of finding an adequate response to the high risks of bankruptcy of the enterprise, the destruction of supply chains and sales of products, failure to fulfill payment obligations is noted. To solve the problem, theoretical research methods were used: systematization and generalization, the study of documents and activity results when identifying problems and finding ways to solve them, generalization of experience. The article suggests using scientifically based approaches as a means of making managerial decisions. In order for anti-crisis measures to be balanced and effective, it is proposed to use a variety of possibilities of quantitative analysis, mathematical modeling, strategic choice, econometric forecasting, and solving optimization problems.

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Residual knowledge assessment is one of the procedures used in the Russian education system to monitor the quality of education at various levels. Typically, this procedure is considered to be a computer testing of the previously learned disciplines. The analysis of test results gives grounds for making necessary decisions. This determines the importance of reliable, accessible and informative presentation of monitoring results. The paper contains a method of visualization and interpretation of residual knowledge assessment results. The authors think that it is possible to use this method for analyzing the problems of training at the individual and group levels. For statistical information processing it is offered to use a vector form of data presentation. The paper contains examples of using a vector model for estimating the level of residual knowledge in three or more disciplines. The authors propose an approach that solves the problem of test results comparability carried out in various estimation systems. The main conclusions and results can be used directly in the educational process, in the field of education management, in psychological and pedagogical work.