Abstract
The paper presents the software implementation of computational algorithms for analyzing the financial and economic state of the industry in the region based on data on the financial state of enterprises in the region and tax and insurance payments. To automate labor-intensive research calculations, an integrated software package has been developed. This software package processes and imports data from external sources, analyzes financial and economic indicators, and provides their graphical representation and export. The authors applied a technology based on a unified structural analysis and programming language, which allows for building high-level models of the architecture of complex systems and ensures continuity within the modeling cycle from business models to requirements models and design solutions. The software uses data on the financial condition of enterprises and tax and insurance payments obtained from open sources and presented in the form of spreadsheets as an information and analytical database. It allows for analyzing financial and economic indicators for individual enterprises, their groups, or the industry as a whole, as well as a graphical presentation of statistical data. The developed software makes it possible to form a comprehensive assessment of the dynamics of the industry development based on fuzzy-multiple algorithms for aggregating financial and economic indicators. The formation of a comprehensive assessment of the financial condition of groups of enterprises is accompanied by conclusions and recommendations based on a fuzzy-multiple aggregation of financial and economic coefficients. Using the developed software package, the authors assessed and analyzed the financial condition of companies (on the example of companies in the IT sector of the Rostov Region).
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References
Arapova, E. A., Kramarov, S. O., Sakharova, L. V., & Tishchenko, E. N. (2020). Assessment of the availability of educational resources for persons with disabilities based on existing quality assessment standards software. Modern Information Technology and IT-Education, 16(1), 177–186. https://doi.org/10.25559/SITITO.16.202001.177-186
Davydova, K. V., & Shershakov, S. A. (2017). Mining hybrid UML models from event logs of SOA systems. Proceedings of the Institute for System Programming of the RAS, 29(4), 155–174. https://doi.org/10.15514/ISPRAS-2017-29(4)-10
Derbicheva, A. A. (2018). Modeling the analysis of the financial result of an entity. Accounting Analysis Auditing, 5(2), 60–71.
Kalyanov, G. N. (2017). The conceptual model of DFD technology. Open Education, 4, 21–26. https://doi.org/10.21686/1818-4243-2017-4-21-26
Kalyanov, G. N., Kupriyanov, B. V., & Lukinova, O. V. (2019). Adaptation of DFD technology in modeling business systems in the RDS environment. Open Education, 23(2), 61–68. https://doi.org/10.21686/1818-4243-2019-2-61-68
Kramarov, S. O., & Sakharova, L. V. (2017). Management of complex economic systems using fuzzy classifiers. Scientific Bulletin of the Southern Institute of Management, 2, 42–50.
Makarov, O. S., & Shchennikova, E. V. (2020). Comparative analysis of ASP.NET CORE technology. E-Scio, 7(46), 513–518.
Makeeva, O. V., Sartakov, M. V., & Chernov, E. A. (2021). Modeling of information processes with the help of UML. Innovations and Investments, 9, 121–125.
Neguch, N. A. (2019). Review and comparison of software products for analyzing the financial condition of an enterprise. Young Scientist, 21(259), 229–233.
Petukhov, R. N. (2016). Application of “thin client” technology at industrial enterprises. Young Scientist, 17(121), 71–74.
Romanov, S. S. (2016). Key concepts and features of object-oriented programming. The Tavrichesky Scientific Reviewer, 12–2(17), 141–146.
Romanov, S. S. (2017). About infological modeling of databases with the help of normalization of EP-diagrams. Tavrichesky Scientific Reviewer, 1(18), 127–137.
Sarsimbayeva, S. M., & Saimagambetova, A. Z. (2012). Application of the C# programming language and platform. No 4. 0 for object-oriented modeling. In P. P. Oleynik (Eds.), Object Systems—2012: Proceedings of the Sixth International Theoretical and Practical Conference. Rostov-on-Don, Russia.
Tanatkanova, A. K., & Zhambaeva, A. K. (2019). Building client-server applications. Science and Education Today, 6–2(41), 15–16.
TestFirm. (n.d.). Financial analysis—Comparison of the financial condition of the companions with industries indicators and competitors. Retrieved from https://www.testfirm.ru/. Accessed July 20, 2022
Zheltova, A. A., & Fomicheva, E. I. (2015). Industry analysis as an important component of the strategic analysis of the organization’s activities. Contentus, 6(35), 142–149.
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Arapova, E.A., Rutta, N.A., Sakharova, L.V., Tishchenko, E.N., Usaty, R.S. (2023). Development of a Software Complex for Managing the IT Industry Based on the IAD of the Financial and Economic State of Enterprises. In: Popkova, E.G., Sergi, B.S. (eds) Anti-Crisis Approach to the Provision of the Environmental Sustainability of Economy. Approaches to Global Sustainability, Markets, and Governance. Springer, Singapore. https://doi.org/10.1007/978-981-99-2198-0_13
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