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In modern conditions, an enterprise is a complex socio-economic system that should have the ability to resist and quickly adapt to changes occurring in the external and internal environment. Sustainable and dynamic development of the enterprise in the conditions of digitalization is inextricably linked with ensuring its economic security. At the same time, in the context of digital business transformation, there is an objective need to develop and implement information and analytical systems that allow automating data processing, conducting their accounting and analysis, as well as performing forecasting tasks using mathematical assessment tools. Information and analytical systems will automate the management functions of the enterprise and ensure high-quality decision-making at all levels of management. In other words, in the digital economy, the activities of enterprises largely depend on their information support. The author suggests to improve the methodology of complex analysis and assessment of the level of economic security of the enterprise on the basis of an information and analytical system of indicators. The use of the proposed software tools is designed to automate the calculation of the mathematical expectation of a discrete random variable, as which the probability of the influence of the i-th factor on the level of economic security of the enterprise is selected within the framework of the model of its integral assessment according to the blocks of integral indicators "Resource availability" and "Perfomance indicators". Automation of these calculations will allow the enterprise to reach a qualitatively new level of management decision- making, accompanying the text conclusion with appropriate calculations and additional information and graphic information required in the process of making management decisions.

vestnik samarskogo gosudarstvennogo èkonomičeskogo universiteta

IMPROVING THE METHODOLOGY OF COMPLEX ANALYSIS AND ASSESSMENT OF THE LEVEL OF ENTERPRISE ECONOMIC SECURITY BASED ON THE INFORMATION AND ANALYTICAL SYSTEM OF INDICATORS