Use of business intelligence systems in the enterprise management

Hrinchenko Raisa
D.Sc. (Economics), Associate Professor of The Department of economy of enterprise and organization of entrepreneur activity, Odesa national economic university, Odesa, E-mail:raya11@ukr.net, ORCID ID: https://orcid.org/0000-0002-3366-6154

Kolibabchuk Olga
PhD student of The Department of economy of enterprise and organization of entrepreneur activity, Odesa national economic university, Odesa, E-mail:kolibabchuk.m.d@gmail.com, ORCID ID: https://orcid.org/0000-0002-7964-5615

Cite this article:

Hrinchenko R., Kolibabchuk O. (2023) Use of business intelligence systems in the enterprise management. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Vykorystannia system biznesu-analityky v upravlinni pidpryiemstvom; za red.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odessa National Economic University (ISSN 2313-4569), Odessa National Economics University, Odessa, No. 1-2 (302-303), pp. 127-134.

Abstract

In article the current questions about of feasibility of using business intelligence systems in the process of enterprise management. The article is aimed is to spotlight the peculiarities of implementation and using of business intelligence systems in the enterprise management. To achieve the formulated goal methods of analysis, synthesis, comparison and analogue were used. The article studies economic essence of the concept of business intelligence. The processes that cover business intelligences in order to improve management efficiency were described. In the modern world business intelligence systems are one of the most promising solutions in business-analytics. Power BI and Tableau are the most popular among the business intelligence services according to Gartner. They allow users, including business owners, to model, analyze, investigate, manage data and share results. The main stages of implementation of the system of business intelligences were considered. The ultimate goal of the implementation is to analyze the results of the built-up reporting and provide effective recommendations for management decision making and put them into practice. The advantages and challenges in their use were determined. The capabilities of business intelligence systems help to broaden the vision of analytics beyond providing a set of data and creating analytical panels to enriched contextual information, reorienting attention to decision-making processes and, as a result, implementing actions that benefit the business. The practical significance of the article lies in the rationale for the need of using business intelligence systems in the process of management activity. The use of business intelligence systems is a continuous process, which provides an opportunity to open new dimensions in the usage of information and data at the enterprise.

Keywords

business intelligence, business intelligence system, data-driven approach, information and analytical support, data mining.

JEL classification: D830, D890, M150, M2100; DOI: 10.32680/2409-9260-2023-1-2-302-303-127-134

UD classification: 338.2

References

1. IGI Global (2022). What is Business Intelligence (BI). Retrieved from https://www.igiglobal.com/dictionary/business-intelligence-bi/3044 (accessed November 11, 2022).
2. Jake Frankenfield (2022). What Is Business Intelligence (BI)? Types, Benefits, and Examples. Retrieved from https://www.investopedia.com/ terms/b/business-intelligence-bi.asp (accessed November 11, 2022).
3. Filipova, L. (2022). Business intelligence systems: modern development trends. Bibliotekoznavstvo. Dokumentoznavstvo. Informolohiya, 1, 43–48 [In Ukrainian].
4. Djerdjouri, Mohamed (2020). Data and Business Intelligence Systems for Competitive Advantage: prospects, challenges, and real-worldapplications. Retrieved from: https://www. redalyc.org/journal/5718/571861494009/571861494009.pdf (accessed November 11, 2022).
5. Lonoff, J (2013). 8 Ways Business Intelligence Software Improves the Bottom Line. CIO FEATURE. Retrieved from: https://www.cio.com/article/ 288957/enterprise-software-8-ways-business-intelligence-software-improves-the-bottom-line. html (accessed November 11, 2022).
6. Dmitrishin, В., Boroviy, М. (2020). Business Analytics and Its Role in Managing the Competitiveness of an Enterprise. Tsentralʹnoukrayinsʹkyy naukovyy visnyk. 5, 214-220 [In Ukrainian].
7. Gartner, (2022). Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Retrieved from https://www.gartner.com/en/ documents/4012759 (accessed December 03, 2022).
8. Gartner (2022). Magic Quadrant Research Methodology. Retrieved from: https://www. gartner.com/en/research/methodologies/magic-quadrants-research (accessed December 03,, 2022).
9. Gartner (2019). How Markets and Vendors Are Evaluated in Gartner Magic Quadrants. Retrieved from: https://www.gartner.com/en/documents/ 3956304 (accessed December 03, 2022).
10. Powerbi. Microsoft (2022). What is Power BI? Retrieved from: https://powerbi.microsoft. com/en-us/what-is-power-bi/ (accessed November 11, 2022).
11. Tableau (2022). Business intelligence: A complete overview. Retrieved from: https://www. tableau.com/learn/articles/business-intelligence (accessed December 03 2022).
12. Kokhanovs'kyj, K. D (2021). Informatsijni systemy ta tekhnolohii dlia biznes-analityky. Biznes-analityka v upravlinni zovnishn'oekonomichnoiu diial'nistiu: Materialy VIII Mizhnarodnoi naukovo-praktychnoi konferentsii, 17 bereznia 2021 roku. Kyiv: DP «Informatsijno-analitychne ahentstvo», 2021, 167-171 [In Ukrainian].
13. TechExpert (2022). Business Intelligence System. Retrieved from https://techexpert.ua/ solutions-it/business-intelligence-system/ (accessed December 03, 2022).