DIGITAL BUSINESS ANALYTICS TOOLS AS A MEANS OF ENSURING BUSINESS TRANSPARENCY AND SUSTAINABLE DEVELOPMENT
Ключові слова:
business analytics, financial analysis, sustainable development, digitalization, shadow economy reduction.
Анотація
The article discusses the role of digital business analytics tools as a key factor in ensuring operational transparency and implementing the concept of sustainable development. The advantages and functional capabilities of modern analytical platforms, such as Microsoft Excel, Google Sheets, Tableau, and Power BI, are analyzed in the context of forming a multi-level data processing ecosystem. The study emphasizes the importance of integrating non-financial indicators into digital models for assessing the long-term sustainability of businesses. In addition, the paper suggests ways to use business analytics tools to improve business competitiveness.
Завантаження
Дані завантаження ще не доступні.
Посилання
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14. Behun S. (2026). Tsyfrovi instrumenty prohnozuvannia sotsialno-ekonomichnoi stabilnosti biznes-modeli staloho zrostannia [Digital tools for forecasting the socio-economic stability of a sustainable growth business model]. Ukrainian Economic Journal, 12. Retrieved from: https://doi.org/10.32782/2786-8273/2026-12-1 [in Ukrainian].
15. Srijani Choudhury (2025). AI-Driven Business Analytics for Sustainable Decision-Making in U.S. Organizations: Integrating the Technology Acceptance Model and Sustainability Theory. International Journal of Research and Scientific Innovation. Retrieved from: https://dx.doi.org/10.51244/IJRSI.2025.12110059 [in English].
16. Md Mizanur Rahaman, Mia Md Tofayel Gonee Manik, Inshad Rahman Noman, Md Rashedul Islam, Md Munna Aziz, Mohammad Muzahidur Rahman Bhuiyan, Kallol Das (2023). Data Analytics for Sustainable Business: Practical Insights for Measuring and Growing Impact. International Research Journal of Science, Technology, Education, and Management. Retrieved from: https://doi.org/10.53272/icrrd.v5i4.2 [in English].
2. Balaniuk I., Liba N., Ivanochko B., Shelenko D. & Melnyk I. (2025). Tsyfrovi tekhnolohii Excel yak instrument harmonizatsii bukhhalterskoho obliku ta ekonomichnoho kontroliu z potrebamy biznes seredovyshcha [Digital EXCEL technologies as a tool for harmonizing accounting and economic control with the needs of the business environment]. Current Issues of Economic Sciences, 14. Retrieved from: https://doi.org/10.5281/zenodo.16915316 [in Ukrainian].
3. Prokopova Z., Silhavy P. & Silhavy R. (2012). Data analysis: tools and methods. Retrieved from: https://www.researchgate.net/publication/228969012_Data_ analysis_tools_and_methods [in English].
4. Talakh T. & Talakh V. (2023). Vykorystannia funktsii Excel v analitychnykh doslidzhenniakh ta v ekonomichnii analitytsi [Using Excel functions in analytical research and economic analytics]. Economy and Society, 50. Retrieved from: https://doi.org/10.32782/2524-0072/2023-50-58 [in Ukrainian].
5. Liashenko O. (2019). Zasoby tablychnoho protsesu Microsoft Excel dlia prohnozuvannia ekonomichnykh protsesiv [Microsoft Excel spreadsheet tools for forecasting economic processes]. International Scientific Journal "Inter-Science", 8(1). 75-79. Retrieved from: http://nbuv.gov.ua/UJRN/mnj_2019_8(1)__17 [in Ukrainian].
6. Sytnyk N. & Yasinovska I. (2025). Finansovyi analiz: navch. posib. [Financial analysis: tutorial]. Lviv: "Halych-Pres". Retrieved from: https://financial.lnu.edu.ua/wpcontent/uploads/2026/01/FA_posibnyk_ISBN_86ed2276-1efd-4555-8145-ea7d3589e3d1.pdf [in Ukrainian].
7. Stavytskyi O. (2025). Otsinka finansovykh pokaznykiv pidpryiemstva za dopomohoiu metodiv mnozhynnoi rehresii ta spetsializovanoho prohramnoho zabezpechennia [Evaluation of financial indicators of the enterprise using multiple regression methods and specialized software]. Actual Problems of Economic Sciences. Retrieved from: https://a-economics.com.ua/index.php/home/article/view/176/188 [in Ukrainian].
8. Zamlynskyi V., Shchurovska A. & Zamlynska O. (2023). Osoblyvosti ta kharakterystyky business intelligence (BI)-system yak instrumentu pidvyshchennia efektyvnosti diialnosti kompanii [Features and characteristics of business intelligence (BI) systems as a tool for increasing company efficiency]. Ukrainian Journal of Applied Economics and Technology, 8(1). Retrieved from: https://doi.org/10.36887/2415-8453-2023-1-8 [in Ukrainian].
9. Shikovets K., Kvita H. & Bezsmertna Yu. (2020). Plan-faktnyi biznes-analiz u seredovyshchi Microsoft Power BI [Plan-fact business analysis in the Microsoft Power BI environment]. Market Infrastructure, 39. 260-266. Retrieved from: http://nbuv.gov.ua/UJRN/ifrctr_2020_39_45 [in Ukrainian].
10. Dziubanovska N. & Tsehelnyi I. (2025). Tsyfrovi instrumenty dlia zabezpechennia prozorosti zaluchennia investytsii: vyklyky ta mozhlyvosti dlia povoiennoi Ukrainy [Digital tools for ensuring transparency of investment attraction: challenges and opportunities for post-war Ukraine]. Economic Analysis, 35(1). 525-535 [in Ukrainian].
11. Chernychko T., Proskura V. & Almashi V. (2024). Tsyfrova transformatsiia biznes-protsesiv yak faktor staloho rozvytku [Digital transformation of business processes as a factor of sustainable development]. Investments: Practice and Experience, 15. 66-71 [in Ukrainian].
12. McGrath P., McCarthy L., Marshall D. & Rehme J. (2021). Tools and Technologies of Transparency in Sustainable Global Supply Chains. California Management Review. Retrieved from: https://doi.org/10.1177/00081256211045 [in English].
13. Savytska N. & Polevych A. (2025). Digital Business Transformation: Scientific Approaches and Tools for Sustainable Development. Ukrainian Journal of Applied Economics and Technology, 10(3). 230-233. Retrieved from: https://doi.org/10.36887/2415-8453-2025-3-45 [in English].
14. Behun S. (2026). Tsyfrovi instrumenty prohnozuvannia sotsialno-ekonomichnoi stabilnosti biznes-modeli staloho zrostannia [Digital tools for forecasting the socio-economic stability of a sustainable growth business model]. Ukrainian Economic Journal, 12. Retrieved from: https://doi.org/10.32782/2786-8273/2026-12-1 [in Ukrainian].
15. Srijani Choudhury (2025). AI-Driven Business Analytics for Sustainable Decision-Making in U.S. Organizations: Integrating the Technology Acceptance Model and Sustainability Theory. International Journal of Research and Scientific Innovation. Retrieved from: https://dx.doi.org/10.51244/IJRSI.2025.12110059 [in English].
16. Md Mizanur Rahaman, Mia Md Tofayel Gonee Manik, Inshad Rahman Noman, Md Rashedul Islam, Md Munna Aziz, Mohammad Muzahidur Rahman Bhuiyan, Kallol Das (2023). Data Analytics for Sustainable Business: Practical Insights for Measuring and Growing Impact. International Research Journal of Science, Technology, Education, and Management. Retrieved from: https://doi.org/10.53272/icrrd.v5i4.2 [in English].
Переглядів анотації: 4 Завантажень PDF: 9 Завантажень PDF: 0
Опубліковано
2026-05-31
Як цитувати
(1)
Yasinovska, I. DIGITAL BUSINESS ANALYTICS TOOLS AS A MEANS OF ENSURING BUSINESS TRANSPARENCY AND SUSTAINABLE DEVELOPMENT. fp 2026, 149-159.
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