Automation of the enterprise financial condition evaluation

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1399/3/033102

Аннотация: This article is devoted to the topic of automating the process of analyzing the organization financial condition. The paper considers the nature and necessity of conducting a financial analysis of the enterprise as a whole for all organizations, and the tax service in particular, identifies factors affecting the financial and econoПоказать полностьюmic situation of the enterprise, and describes the methodology for conducting financial analysis of the enterprise. The study demonstrated the benefits of a comprehensive assessment of the enterprise financial condition. The article discusses the rating assessment features of the enterprise financial condition and describes in detail a system of indicators that gives the most accurate data. The paper reveals the importance for financial analysis of such parameters as profitability, liquidity, autonomy ratio, financial stability ratio and equity ratio. The article analyzes and selects software that meets the requirements of the customer, allowing you to automate business processes. The algorithm of the program for assessing the financial condition of organizations is described, and the input information necessary for the correct operation of the model is described, and the result of its work is described in detail. This article presents the results of testing the program on the data of an existing organization. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1399, Is. 3

Номера страниц: 33102

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Rukosueva A.A. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Eremeev D.V. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Boyko A.A. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Stupina A.A. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Krasnoyarsk State Agrarian University, 90, Mira pr., Krasnoyarsk, 660049, Russian Federation)

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