БІЗНЕС-АНАЛІТИКА ПІДПРИЄМСТВ ЯК СИСТЕМА МЕТОДІВ ТА ЗАСОБІВ ПІДТРИМКИ ПРИЙНЯТТЯ УПРАВЛІНСЬКИХ РІШЕНЬ

Ключові слова: бізнес-аналітика підприємств, система методів та засобів, описова аналітика, аналітики в реальному часі, діагностична аналітика, прогностична аналітика, прескриптивна аналітика

Анотація

У роботі досліджено бізнес-аналітику підприємств як систему методів та засобів підтримки прийняття управлінських рішень, зокрема методи та засоби збирання, оброблення, аналізування та візуалізування даних про діяльність підприємств для прийняття оптимальних управлінських рішень. Обґрунтовано основні цілі бізнес-аналітики підприємств, до яких віднесено: підтримку прийняття рішень; виявлення проблем та можливостей; прогнозування майбутніх тенденцій; оптимізування ресурсів та процесів; моніторинг та контроль; інформаційну підтримку стратегічного планування. Досліджено основні функції бізнес-аналітики підприємств, зокрема: збирання та інтегрування даних; оброблення та підготовка даних; аналізування даних; візуалізація результатів; підтримка прийняття рішень; моніторинг ключових показників; прогнозування тенденцій; оцінювання ризиків та сценарне моделювання. Запропоновано аналізування діяльності підприємств за описовою аналітикою, аналітикою в реальному часі, діагностичною, прогностичною та прескриптивною аналітиками як складовими бізнес-аналітики.

Посилання

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Chatterjee S., Rana N. P., Dwivedi Y. K. How does business analytics contribute to organisational performance and business value? A resource-based view. Information Technology & People, 2024. Vol. 37(2). P. 874-894.

Chowdhury R. H. Cloud-based data engineering for scalable business analytics solutions: designing scalable cloud architectures to enhance the efficiency of big data analytics in enterprise settings. Journal of Technological Science & Engineering (JTSE), 2021. Vol. 2(1). P. 21-33.

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Iqbal M., Sakib M. Integrating cloud computing, big data, and business analytics to determination digital transformation and competitive advantage in modern enterprises. Journal of Primeasia, 2024. Vol. 5(1). P. 1-8.

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Kumar S., Aithal P. S. Tech-Business Analytics–a Review based New Model to Improve the Performances of Various Industry Sectors. International Journal of Applied Engineering and Management Letters (IJAEML), 2023. Vol. 7(1). P. 67-91.

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Liu Q., Li J. The progress of business analytics and knowledge management for enterprise performance using artificial intelligence and man-machine coordination. Journal of Global Information Management (JGIM), 2022. Vol. 30(11). P. 1-21.

Liu S., Liu O., Chen J. A review on business analytics: Definitions, techniques, applications and challenges. Mathematics, 2023. Vol. 11(4). P. 899.

Lösser B. State of the art of business analytics for enterprise Transformation steering. Technology-Driven Transformation: The Future of Work and Organizations, 2025. P. 289-305.

Marjanovic O. A novel mechanism for business analytics value creation: improvement of knowledge-intensive business processes. Journal of Knowledge Management, 2022. Vol. 26(1). P. 17-44.

Riepina I., Budiaiev M., Nychyporuk O., Yakusheva N., Andriushchenko A., Blyznyuk A., Mazur Y. Assessment of the effectiveness of implementing AI tools in business analytics of enterprises in the conditions of digital change. Technology audit and production reserves, 2026. Vol. 2(4(88)). P. 43-54.

Shiwakoti S. Leveraging SAP FICO and Business Analytics for Financial Transparency and Decision Intelligence in Modern Enterprises. Journal of Artificial Intelligence General science (JAIGS), 2025. Vol. 8(02). P. 293-318.

Solano M. C., Cruz J. C. Integrating analytics in enterprise systems: A systematic literature review of impacts and innovations. Administrative Sciences, 2024. Vol. 14(7). P. 138.

Valmohammadi C., Sadeghi M., Taraz R., Mehdikhani R. Business analytics, corporate entrepreneurship, and open innovation. Management Decision, 2024. Vol. 62(6). P. 1977-2001.

Wee M., Scheepers H., Tian X. Understanding the processes of how small and medium enterprises derive value from business intelligence and analytics. Australasian Journal of Information Systems, 2022. Vol. 26. P. 1-26.

Wolniak R., Grebski, W. The five stages of business analytics. Silesian University of Technology Scientific Papers. Organization and Management Series, 2023. Vol. 178. P. 735-752.

Zamani E. D., Griva A., Conboy K. Using business analytics for SME business model transformation under pandemic time pressure. Information Systems Frontiers, 2022. Vol. 24(4). P. 1145-1166.

Adelusi, B. S., Uzoka, A. C., Hassan, Y. G. and Ojika, F. U. (2023) Reviewing Data Governance Strategies for Privacy and Compliance in AI-Powered Business Analytics Ecosystems. Journal Not Specified, vol. 6, no 4, pp. 101-118.

Ahmed, F. F., Alrowaiei, K. H., Alsubaiei, S. H. and Wadi, R. A. (2023) Impact of business analytics and enterprise system on managerial accounting. In Emerging Trends and Innovation in Business and Finance. Singapore: Springer Nature Singapore, pp. 839-851.

Akter, S., Akhter, S. R., Rahman, M. B. and Naidu, P. (2025) AI-driven business analytics for competitive advantage in service-oriented enterprises: CUSTOMER experience and efficiency. International Journal of Business and Economics Insights, vol. 5(3), pp. 389-423.

Al-Debei, M. M. (2024) The era of business analytics: identifying and ranking the differences between business intelligence and data science from practitioners’ perspective using the Delphi method. Journal of Business Analytics, vol. 7(2), pp. 94-119.

Al-Okaily, A., Teoh, A. P. and Al-Okaily, M. (2023) Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis. Business Process Management Journal, vol. 29(3), pp. 777-800.

Andrushko, A. (2025) Enhancing Decision-Making in Service SMEs: Role of Business Analytics in Management Approach Transformation. IUP Journal of Knowledge Management, vol. 23(1), pp. 52-72.

Bauskar, S. (2024) Business analytics in enterprise system based on application of artificial intelligence. International Research Journal of Modernization in Engineering Technology and Science, vol. 4(1), pp. 1861-1870.

Bayraktar, E., Tatoglu, E., Aydiner, A. S. and Delen, D. (2024) Business analytics adoption and technological intensity: An efficiency analysis. Information Systems Frontiers, vol. 26(4), pp. 1509-1526.

Cao, G. and Duan, Y. (2024) Exploring the impact of business analytics on strategic decision-making in uncertain environments. Journal of Management Analytics, vol. 11(4), pp. 577-600.

Chatterjee, S., Rana, N. P. and Dwivedi, Y. K. (2024) How does business analytics contribute to organisational performance and business value? A resource-based view. Information Technology & People, vol. 37(2), pp. 874-894.

Chowdhury, R. H. (2021) Cloud-based data engineering for scalable business analytics solutions: designing scalable cloud architectures to enhance the efficiency of big data analytics in enterprise settings. Journal of Technological Science & Engineering (JTSE), vol. 2(1), pp. 21-33.

Dereli, S. E. (2023) The role of business analytics in enabling competitive advantage for small and medium enterprises (Doctoral dissertation, Swinburne).

Iqbal, M. and Sakib, M. (2024) Integrating cloud computing, big data, and business analytics to determination digital transformation and competitive advantage in modern enterprises. Journal of Primeasia, vol. 5(1), pp. 1-8.

Ikbal, M. Z. (2025) A meta-analysis of AI-driven business analytics: Enhancing strategic decision-making in SMEs. Review of Applied Science and Technology, vol. 4(02), pp. 33-58.

Kalishina, D. (2023) Artificial Intelligence As An Enabler Of Growth: Advancing Business Analytics In Small And Medium Enterprises. International Journal of Core Engineering & Management, vol. 7(5), pp. 289-300.

Kumar, S. and Aithal, P. S. (2023) Tech-Business Analytics–a Review based New Model to Improve the Performances of Various Industry Sectors. International Journal of Applied Engineering and Management Letters (IJAEML), vol. 7(1), pp. 67-91.

Kumar, S. and Aithal, P. S. (2023) Tech-business analytics in primary industry sector. International Journal of Case Studies in Business, IT, and Education (IJCSBE), vol. 7(2), pp. 381-413.

Lee, C. S., Cheang, P. Y. S., and Moslehpour, M. (2022) Predictive analytics in business analytics: decision tree. Advances in Decision Sciences, vol. 26(1), pp. 1-29.

Liu, Q. and Li, J. (2022) The progress of business analytics and knowledge management for enterprise performance using artificial intelligence and man-machine coordination. Journal of Global Information Management (JGIM), vol. 30(11), pp. 1-21.

Liu, S., Liu, O. and Chen, J. (2023) A review on business analytics: Definitions, techniques, applications and challenges. Mathematics, vol. 11(4), pp. 899.

Lösser, B. (2025) State of the art of business analytics for enterprise Transformation steering. Technology-Driven Transformation: The Future of Work and Organizations, pp. 289-305.

Marjanovic, O. (2022) A novel mechanism for business analytics value creation: improvement of knowledge-intensive business processes. Journal of Knowledge Management, vol. 26(1), pp. 17-44.

Riepina, I., Budiaiev, M., Nychyporuk, O., Yakusheva, N., Andriushchenko, A., Blyznyuk, A. and Mazur, Y. (2026) Assessment of the effectiveness of implementing AI tools in business analytics of enterprises in the conditions of digital change. Technology audit and production reserves, vol. 2(4 (88)), pp. 43-54.

Shiwakoti, S. (2025) Leveraging SAP FICO and Business Analytics for Financial Transparency and Decision Intelligence in Modern Enterprises. Journal of Artificial Intelligence General science (JAIGS), vol. 8(02), pp. 293-318.

Solano, M. C. and Cruz, J. C. (2024) Integrating analytics in enterprise systems: A systematic literature review of impacts and innovations. Administrative Sciences, vol. 14(7), pp. 138.

Valmohammadi, C., Sadeghi, M., Taraz, R. and Mehdikhani, R. (2024) Business analytics, corporate entrepreneurship, and open innovation. Management Decision, vol. 62(6), pp. 1977-2001.

Wee, M., Scheepers, H. and Tian, X. (2022) Understanding the processes of how small and medium enterprises derive value from business intelligence and analytics. Australasian Journal of Information Systems, vol. 26, pp. 1-26.

Wolniak, R. and Grebski, W. (2023) The five stages of business analytics. Silesian University of Technology Scientific Papers. Organization and Management Series, vol. 178, pp. 735-752.

Zamani, E. D. Griva, A., and Conboy, K. (2022) Using business analytics for SME business model transformation under pandemic time pressure. Information Systems Frontiers, vol. 24(4), pp. 1145-1166.

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Опубліковано
2026-05-26
Як цитувати
Одрехівський, М. (2026). БІЗНЕС-АНАЛІТИКА ПІДПРИЄМСТВ ЯК СИСТЕМА МЕТОДІВ ТА ЗАСОБІВ ПІДТРИМКИ ПРИЙНЯТТЯ УПРАВЛІНСЬКИХ РІШЕНЬ. Економіка та суспільство, (86). https://doi.org/10.32782/2524-0072/D2026-86-198