BUSINESS IN TE LLIG E N C E IN TH E FU N C TIO N O F B U SIN E SS IM PR O V E M E N T

Authors

  • Nebojša Denić Faculty of Sciences and Mathematic, Kosovska Mitrovica, Serbia Author
  • Ivana Bulut Bogdanović Faculty of Social Sciences, Belgrade, Serbia Author
  • Saša Mihajlović Faculty of Mathematics and Computer Sciences, Alfa BK University, Belgrade, Serbia Author
  • Stefan Milić Faculty of information technology, Alfa BK University, Belgrade, Serbia Author

DOI:

https://doi.org/10.5937/ekonsig2502165D

Keywords:

Business intelligence, business, information sistems

Abstract

The purpose of this paper is also to present a general theoretical overview of knowledge, technologies and tools in the field of business intelligence, based on the evolution of relevant literature, with the aim of systematically describing each of the technologies with the possibilities of application in companies in Serbia. In this context, the introductory part of the research explains the concepts, terms, functions and methods of business intelligence and business intelligence systems. The orientation of the research is towards technology and sophisticated business intelligence tools, and research into which key factors and elements are important for the successful implementation of business intelligence tools, methods and techniques in organizations in Serbia, as well as the related examination of the current state of the tools market in the world and Serbia. Research indicates that if there is one key to the survival of business systems and companies in an increasingly competitive world, it is the ability to respond quickly to changing business conditions, which require lightning-fast detection, analysis and reaction. In this sense, the above-mentioned needs require: comprehensive, accurate, and timely information. For the aforementioned reasons, business intelligence in the world, including in our environment, is developing more and more rapidly every day. Based on the latest research in the world and references from the most competent authors in the field of business intelligence, the theoretical foundations of the business intelligence process and intelligent decision-support systems have been defined, through a systematic analysis of business improvement. Research indicates that the best business intelligence model in times of economic crisis and recession is one that will help organizations achieve a competitive advantage, while being inexpensive. For this purpose, there has been increasing talk recently about OSBI (Open Source Business Intelligence).

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References

Burton B., Toolkit: How to Move Up the Business Intelligence and Performance Management Maturity Curve, Gartner Inc. Research, 26.01.2007.,http://www.gartner.c om/. pp. 9. (Access to the site: 15.10.2025.).

BuchananL., O’Connell A., A brief history of decision making, Harvard Business Review, pp.32-40, 2006.

Caldeira M.M., Ward J. M., Understanding the successful adoption and use of IS/It in SMEs: an explanation from Portuguese manufacturing industries. Information Systems Journal Volume, Vol. 12, No.2, 121-152. 2002.

Chaudhuri, S., Dayal, U. in Narasayya, V. (2011). An overview of business intelligence technology. Communicat ions of the ACM, 54(8), 88–98.

Chia, A. (2023). Data Integration: Everything you need to know https://www.splunk.com/ en_us/blog/learn/dataintegration. html

Choo C.W.,(2006,10.may), The DataInformation-Knowledge Continuumhttp://choo.fis. utoronto.ca/kluwer/Data InfoKnow.html(Access to the site 01.10. 2025) .

Collins, A. (2023). Business intelligence tools: What are they, & how do they work? https://www. techrepublic.com/article/whatare-bi-tools/

Davenport T.D.,Harris J.G. Morison R. Analytics at Work: Smar ter Decisions-Better Results,Harvard Business School Press, Boston, 2010.

Davenport, T., Guha, A., & Grewal, D. (avgust. 30 2021). Harvard Business Review. Available at: How to Design an AI Marketing Strategy: https://hbr.org/2021/ 07/howto-design-an-ai-marketingstrategy

Denić, N., Petković , D., Vujović, V., Spasić, B., i Vujičić, I., (2018), “A survey of internet marketing by small and medium-sized enterprises for placing wine on the market” Physica A: Statistical Mechanics and its Applications.https://doi.org/10.1016/j.phy sa. 2018. 04.095

Denić,N., Stojanović,K., Popović, M. Intelligent systems in business function, January 2023, Ekonomski signali Volume 18(1): pages 1-10 DOI: 10.5937/ekosing2301001D

Denić, N., Bulut Bogdanović, I., & Milić, M. (2024). Veštačka inteligencija i digitalna transformacija u funkciji poslovanja. Ekonomski signali: poslovni magazin, 19(1), 19-34. https://doi.org/10.5937/ ekonsig2401019D

Denić, N., Mišić, M. (2022). „Quality of data and information in the function of business“ Naučna Monografija, Bezbednosni izazovi savremenog društva - dileme i implikacije, Security challenges of modern society-dilemmas and implications. 01.04. 2022.

Eppler M. J., Managing Information Quality: Increasing the Value of Information in Knowledge-intensive Products and Processes, Springer, New York, Berlin, 2003.

Gartner. (2021). Magic Quadrant for analytics and business intelligence platforms. Gartner Research.

Inmon, W. H. (2005). Building the data warehouse. John Wiley & Sons.

Kielstra P., In resarch of clarity–Unra velling the complexities of executive decision-maкing, A report from the Economst Intelligence Unit, The Economist, September.2007.

Kimball, R. in Ross, M. (2013). The data warehouse toolkit: The definitive guide to dimensional modeling. Wiley.

Liautaud B., Hammond M., EBusiness Intelligence: Turning Infor-mation into Knowledge into Profit, McGraw-Hill, New York, 2001.

Loshin D., Business Intelligence: The Savvy Manager's Guide, Morgan Kaufmann, San Francisco, 2003.

Mc Gonagle John J.,Vella Carolyn M., A case for Competitive Intelligence, The Information Management Journal, pp. 35-40. July/ August 2002.

Pratt, M. K. in Yasar, K. (2024). What is business intelligence architecture (BI architecture) ?https://www.techtarget.com/ searchbusinessanalytics/definiti on/business-intelligencearchitecture

Suhendra, E. S., Ernestivita, G., Khasanah, E. M. in Filandari, M. (2020). Critical factors for business intelligence systems implementation. 1st International Conference on Business & Social Sciences.

Zheng, J. G. (2017). Data visualization in business intelligence. V J. M. Munoz (ur.), Global business intelligence (str. 67–81). Routledge.

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Published

2026-02-18

How to Cite

BUSINESS IN TE LLIG E N C E IN TH E FU N C TIO N O F B U SIN E SS IM PR O V E M E N T. (2026). Ekonomski Signali: Poslovni Magazin, 20(2), 165-174. https://doi.org/10.5937/ekonsig2502165D

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