USING DATA ANALYTICS TO MANAGE FINANCIAL PROCESSES IN THE DIGITAL ENVIRONMENT OF UKRAINE
Abstract
The article is devoted to the study of the peculiarities of using data analytics to manage financial processes in the digital environment of Ukraine. The methodological basis of the research in this work is the methods of collecting and comparing information, as well as analysis, synthesis and generalization. It has been noted that Big Data opens up extraordinary opportunities for deepening our understanding of human behavior and the development of social processes in a way that was previously thought impossible. It is noted that one of the main advantages of Big Data as a resource is a large amount of information, which makes it possible to conduct a more detailed and comprehensive analysis, find previously invisible connections and patterns, identify trends and predict results based on more objective information. It is also noted that the emergence of Big Data has revolutionized the practice of information management at enterprises. The sheer volume and variety of data being generated, including both structured and unstructured information from multiple sources, is too much for traditional databases and processing methods. The exponential growth of information has created an urgent need for optimization solutions that will allow enterprises to quickly obtain useful information. The conclusion states that the use of data analytics to manage financial processes in the digital environment of Ukraine has great potential for increasing the efficiency and competitiveness of domestic enterprises. This approach makes it possible to forecast and model financial indicators, optimize risks and costs, manage liquidity and make informed strategic decisions. Data analytics help identify potential risks and ensure the accuracy of metrics and speed of financial reporting that is critical in the digital age.
References
Балабанов О.С. Аналітика великих даних: принципи, напрямки і задачі (огляд). Проблеми програмування. 2019. № 2. С. 47–68. URL: http://dspace.nbuv.gov.ua/handle/123456789/161487 (дата звернення: 01.05.2024).
Дзямулич М. І., Шматковська Т. О., Борисюк О. В. Великі дані та їх роль у формуванні цифрової економіки. Галицький економічний вісник : наук. журн. Тернопіль, 2021. Т. 70, № 3. С. 16–21. URL: https://doi.org/10.33108/galicianvisnyk_tntu2021.03 (дата звернення: 01.05.2024).
Кислова О. М. Великі дані в контексті дослідження проблем сучасного суспільства. Вісник Харківського національного університету імені В. Н. Каразіна. Серія «Соціологічні дослідження сучасного суспільства: методологія, теорія, методи». 2019. № 42. C. 59–68. URL: https://periodicals.karazin.ua/ssms/article/view/14869 (дата звернення: 01.05.2024).
Нікітенко К. C., Жосан Г. В. Визначення ролі великих даних у прийнятті рішень в економіці та фінансах. Економічний простір. 2020. № 161. С. 63–66. DOI: https://doi.org/10.32782/2224-6282/161-11(дата звернення: 30.04.2024).
Пічкурова З.В. Особливості розвитку технології великих даних у глобальній цифровій економіці. In W. Welskop, Y.O. Voloshin (Eds.). Modern international relations: topical problems of theory and practice: collective monograph. Lodz, 2021. Р. 178–182. URL: https://er.nau.edu.ua/handle/NAU/53688 (дата звернення: 02.05.2024).
Самойленко Л. Б. Можливості та проблеми застосування технологій Big Data вітчизняними компаніями. Ефективна економіка. 2018. № 1. URL: http://www.economy.nayka.com.ua/?op=1&z=6066 (дата звернення: 02.05.2024).
Струтинська І., Дмитроца Л. Особливості використання технологій Big Data та Business Intelligence малим та середнім бізнесом в Україні. Матеріали ⅩⅪ наукової конференції ТНТУ ім. І. Пулюя, 16-17 травня 2019 року. Тернопіль: ТНТУ, 2019. С. 71–72. URL: http://elartu.tntu.edu.ua/handle/lib/28143 (дата звернення: 01.05.2024).
Bannikov, V., Lobunets, T., Buriak, I., Maslyhan O. & Shevchuk L. (2022). On the question of the role of project management in the digital transformation of small and medium-sized businesses: essence and innovative potential. Revista Amazonia Investiga, vol. 11, pp. 334–343. DOI: https://doi.org/10.34069/AI/2022.55.07.35 (дата звернення: 01.05.2024).
Hunko, I. (2023). Software testing in 2023: new trends and challenges. Herald of Kyiv Institute of Business and Technology, vol. 49(1-2), pp. 25–36. DOI: https://doi.org/10.37203/kibit.2023.49.03 (дата звернення: 01.05.2024).
Nesterov, V. (2024). Optimization of big data processing and analysis processes in the field of data analytics through the integration of data engineering and artificial intelligence. Computer-integrated technologies: education, science, production, vol. 54, pp. 160–164. DOI: https://doi.org/10.36910/6775-2524-0560-2024-54-19 (дата звернення: 30.04.2024).
Balabanov, O.S. (2019). Analityka velykykh danykh: pryntsypy, napriamky i zadachi (ohliad). [Big data analytics: principles, directions and tasks (review)]. Problemy prohramuvannia – Programming problems, vol. 2, pp. 47–68. Available at: http://dspace.nbuv.gov.ua/handle/123456789/161487 (accessed May 01, 2024).
Dziamulych, M. I., Shmatkovska, T. O., & Borysiuk, O. V. (2021). Velyki dani ta yikh rol u formuvanni tsyfrovoi ekonomiky [Big data and its role in shaping the digital economy]. Halytskyi ekonomichnyi visnyk: naukovyi zhurnal – Galician economic herald: scientific journal, vol. 70(3), pp. 16–21. DOI: https://doi.org/10.33108/galicianvisnyk_tntu2021.03 (accessed May 01, 2024).
Kyslova, O. M. (2019). Velyki dani v konteksti doslidzhennia problem suchasnoho suspilstva [Big data in the context of studying the problems of modern society]. Visnyk Kharkivskoho natsionalnoho universytetu imeni V. N. Karazina. Seriia “Sotsiolohichni doslidzhennia suchasnoho suspilstva: metodolohiia, teoriia, metody” – Bulletin of Kharkiv National University named after V. N. Karazin. Series "Sociological research of modern society: methodology, theory, methods.", vol. 42, pp. 59–68. Available at: https://periodicals.karazin.ua/ssms/article/view/14869 (accessed May 01, 2024).
Nikitenko K. C., & Zhosan H. V. (2020). Vyznachennia roli velykykh danykh u pryiniatti rishen v ekonomitsi ta finansakh [Determination of the role of big data in decision-making in economics and finance]. Ekonomichnyi prostir – Economic space, vol. 161, pp. 63–66. DOI: https://doi.org/10.32782/2224-6282/161-11 (accessed April 30, 2024).
Pichkurova, Z.V. (2021). Osoblyvosti rozvytku tekhnolohii velykykh danykh u hlobalnii tsyfrovii ekonomitsi [Features of the development of big data technologies in the global digital economy.]. In W. Welskop, Y.O. Voloshin (Eds.). Modern international relations: topical problems of theory and practice: collective monograph. Lodz, pp. 178–182. Available at: https://er.nau.edu.ua/handle/NAU/53688 (accessed May 02, 2024).
Samoilenko, L. B. (2018). Mozhlyvosti ta problemy zastosuvannia tekhnolohii Big Data vitchyznianymy kompaniiamy [Possibilities and problems of using big data technologies by domestic companies]. Efektyvna ekonomika – Efficient economy, vol. 1. Available at: http://www.economy.nayka.com.ua/?op=1&z=6066 (accessed May 02, 2024).
Strutynska, I., & Dmytrotsa, L. (2019). Osoblyvosti vykorystannia tekhnolohii Big Data ta Business Intelligence malym ta serednim biznesom v Ukraini [Peculiarities of the use of Big Data and Business Intelligence technologies by small and medium-sized businesses in Ukraine]. In Materialy ⅩⅪ naukovoi konferentsii TNTU im. I. Puliuia, 16-17 travnia 2019 roku. Ternopil, pp. 71–72. Available at: http://elartu.tntu.edu.ua/handle/lib/28143 (accessed May 01, 2024).
Bannikov, V., Lobunets, T., Buriak, I., Maslyhan O. & Shevchuk L. (2022). On the question of the role of project management in the digital transformation of small and medium-sized businesses: essence and innovative potential. Revista Amazonia Investiga, vol. 11, pp. 334–343. DOI: https://doi.org/10.34069/AI/2022.55.07.35 (accessed May 01, 2024).
Hunko, I. (2023). Software testing in 2023: new trends and challenges. Herald of Kyiv Institute of Business and Technology, vol. 49(1-2), pp. 25–36. DOI: https://doi.org/10.37203/kibit.2023.49.03 (accessed May 01, 2024).
Nesterov, V. (2024). Optimization of big data processing and analysis processes in the field of data analytics through the integration of data engineering and artificial intelligence. Computer-integrated technologies: education, science, production, vol. 54, pp. 160–164. DOI: https://doi.org/10.36910/6775-2524-0560-2024-54-19 (accessed April 30, 2024).
This work is licensed under a Creative Commons Attribution 4.0 International License.
