Barriers of using Business Intelligence in enterprises
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Abstract
The purpose of Business Intelligence (BI) systems is to support decision-making processes, which is to improve business management. Achieving this goal boils down to obtaining the right information, which is used by the right people and in the right way. The said process is related to the method of using BI and the elements that affect it. However, on the way to a certain level of efficiency when it comes to the use of BI, there are obstacles that inhibit or prevent its achievement. The aim of the work is to identify barriers that reduce the effectiveness of BI use in enterprises.
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References
Aruldoss M., Travis M., Venkatesan V. (2014), A survey on recent research in business intelligence, “Journal of Enterprise Information Management”, Vol. 27 (6), https://doi.org/10.1108/JEIM-06-2013-0029.
Bojar W., Rostek K., Knopik L. (2014), Systemy wspomagania decyzji, Warszawa, PWE.
Chasalow L., Baker E. (2015), Factors contributing to Business Intelligence Success: The impact of Dynamic Capabilities, Puerto Rico, Twenty-first Americas Conference on Information Systems.
Duczkowska J. (2015), Nowoczesne narzędzia raportowania menedżerskiego w kontekście roli współczesnych controllerów, Wrocław, Uniwersytet Ekonomiczny we Wrocławiu.
Głod G., Jasłowski J. (2013), Zastosowanie narzędzi klasy Business Intelligence w zakładach opieki zdrowotnej – wyzwania i bariery, Roczniki Kolegium Analiz Ekonomicznych, nr 29.
Gupta V., et al. (2014), A Review of Data Warehousing and Business Intelligence in different perspective, “International Journal of Computer Science and Information Technologies”, Vol. 5 (6).
Hand D., Mannila H., Smyth P. (2001), Principles of Data Mining, Cambridge, Massachusetts, MIT Press.
Harazin J. (2016), Make your Business more Intelligence, https://sii.pl/blog/make-your-business-more-intelligence/, dostęp 21/02/2018.
Hocevar B., Jaklic J. (2010), Assessing Benefits of Business Intelligence Systems – A Case Study, “Management: Journal of Contemporary Management Issues”, Vol. 15 (1).
Januszewski A. (2012), Funkcjonalność informatycznych systemów zarządzania. Tom 2. Systemy Business Intelligence, Warszawa, PWN.
Khan R.A., Quadri S.M.K. (2014), Business Intelligence: An Integrated Approach, “International Journal of Management and Innovation”, Vol. 6 (2).
Krzysztoporski P. (2014), Oprogramowanie biznesowe – trendy oraz najczęściej wybierane rozwiązania, http://www.benchmark.pl/aktualnosci/oprogramowanie-biznesowe-trendy-oraznajczesciej-wybierane-rozwiazania.html, dostęp 21/02/2018.
Lula P. (2012) Systemy wspomagania decyzji, w: Komputerowe metody analizy i przetwarzania danych, P. Lula, G. Paliwoda-Pękosz (red.), Kraków, Uniwersytet Ekonomiczny w Krakowie, s. 171-190.
Negash S. (2004), Business Intelligence, “Communications of the Association for Information Systems”, Vol. 13 (1).
Nesterak J. (2015) Controlling zarządczy, Warszawa, Wolters Kluwers.
Radziszewski P. (2016), Business Intelligence. Moda, wybawienie czy problem dla firm?, Warszawa, Poltext.
Rawicz-Mańkowski G. (2010), Systemy Business Intelligence, w: Informatyka ekonomiczna. Podręcznik akademicki, S. Wrycza (red.), Warszawa, PWE, s. 404-426.
Tozzi Ch. (2017), What is Data Quality? Explaining What Data Quality Actually Means, http://blog.syncsort.com/2017/07/big-data/what-is-data-quality-definition-examples/, dostęp 23/02/2018.