Modern technologies for improving data management processes – pilot studies among polish and ukrainian companies
DOI:
https://doi.org/10.33730/2310-4678.4.2022.275032Keywords:
artificial intelligence, digitization, business analytics, respondents, surveysAbstract
The article analyzes modern technologies for improving data management processes — pilot studies among Polish and Ukrainian enterprises. The main elements of the effective implementation of business analytics solutions have been determined, which involves certain points, in particular, the first point is a vision of the needs of the enterprise in terms of how to use analytics. The second important element is the creation of an appropriate ecosystem that will collect data generated both internally and externally. In this matter, the elements responsible for building a suitable test environment, as well as increasing the value of the collected data, are important. The next component is the development of appropriate modeling solutions that use the collected data. Here, the use of linear and non-linear modeling for the purpose of obtaining new knowledge, or the codification and testing of heuristics in the company, plays an important role. Research was conducted in the part of the questionnaire regarding the use of modern technologies at the respondent’s workplace. It has been proven that Polish students of the Faculty of Accounting and Controlling of the University of Economics in Krakow compared to students of other faculties had a much better knowledge of the concepts that are the subject of the study. This indicates a well-designed training program in this field that meets the needs of the modern economic world. As part of their studies, these students study several practical subjects where they are taught new analytical and information technologies.
References
Gartner IT Glossary. Password: Digitization. (2021). URL: https://www.gartner.com/en/informationtechnology/glossary/digitization [in English].
Słownik języka polskiego. Password: Digitization. (2021). URL: https://sjp.pwn.pl/slowniki/digitalizacja.html [in Polish].
Negroponte. (1996). Being Digital. Knopf. Paperback edition. Vintage Books [in English].
Smit, J., Kreutzer, S., Moeller, C., Carlberg, M. (2016). Industry 4.0. European Parliament. Directorate General for Internal Policies Policy Department A: Economic and Scientific Policy [in English].
Yegorov, I.Yu., Nykyforuk, O.I., Lir, V.E. [Eds.]. (2020). Tsyfrovi tekhnolohii v innovatsiinii transformatsii ekonomiky Ukrainy: kolektyvna monohrafiia [Digital technologies in the innovative transformation of the economy of Ukraine: collective monograph]. National Academy of Sciences of Ukraine, State University “Inst. economy and predicted National Academy of Sciences of Ukraine”. Kyiv. URL: http://ief.org.ua/docs/mg/321.pdf [in Ukrainian].
Pysarenko, T.V., & Kvasha, T.K. et al. (2018). Stan innovatsiinoi diialnosti ta diialnosti u sferi transferu tekhnolohii v Ukraini u 2017 rotsi: analitychna dovidka [State of innovation and technology transfer in Ukraine in 2017: analytical report]. Kyiv: UkrINTEI [in Ukrainian].
Karcheva, H., Ohorodnia, D. Ya., & Openko, V. (2017). Tsyfrova ekonomika ta yii vplyv na rozvytok natsionalnoi ta mizhnarodnoi ekonomiky [The digital economy and its impact on the development of the national and international economy]. Finansovyi prostir — Financial space, 3 (27), 13–21. URL: https://fp.cibs.ubs.edu.ua/files/1703/17kgttme. Pdf [in Ukrainian].
Hroisman, V. (2017). Tsyfrova ekonomika zdatna strimko pidvyshchyty VVP [The digital economy is capable of rapidly increasing GDP]. Novyny ekonomiky [in Ukrainian].
Liashenko, V. I., & Vyshnevskyi, O. S. (2018). Tsyfrova modernizatsiia ekonomiky Ukrainy yak mozhlyvist proryvnoho rozvytku: monohrafiia [Digital modernization of Ukraine’s economy as an opportunity for breakthrough development: monograph]. Kyiv: Instytut ekonomiky promyslovosti [in Ukrainian].
Nakielski, K. (2021). Jak digitalizować firmowe dokumenty? URL: https://www.ican.pl/b/jak-digitalizowacfirmowe-dokumenty/PlAnSrjLm [in Polish].
Haievskyi, Y., Paprotski, V. & Pieriehud, Y. (2016). Tsyfrovalizatsiia ekonomiky ta suspilstva. Mozhlyvosti ta vyklyky dlia infrastrukturnykh sektoriv [Digitalization of economy and society. Opportunities and challenges for infrastructure sectors]. Hdansk: Instytut doslidzhen rynkovoi ekonomiky — Hdanska bankivska akademiia [in Polish].
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. V. (2013). Digital business strategy: toward a next generation of insights. MIS quarterly [in English].
Lobeiko, S. (2018). Stratehii tsyfrovizatsii biznesu. Innovatsii v upravlinni ta inzhenerii [Business digitalization strategies. Innovations in management and engineering]. [in Ukrainian].
Mitas, S., Lukas, Kh. (2010). What is your digital business strategy? IT Pro [in English].
Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review and Deloitte University Press, July 14, 1–25. URL: http://sloanreview.mit.edu/projects/strategy-drives-digital-transformation/ [in English].
Hupta, A.K. (2007). Industrial automation and robotics. Niu-Deli: Laxmi publications [in English].
Lowers, P., & Cannata, F. (2017). Automate this: the business leader’s guide to robotic and intelligent automation Service Delivery Transformation. URL: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/process-and-operations/ussdt-process-automation.pdf [іn English].
Nesterak, J., & Gąsiorek, P. (2019). Implementacja Robotic Process Automation w przedsiębiorstwi. Zarządzanie restrukturyzacją: innowacyjność i konkurencyjność w obliczu zmian. Towarzystwo Naukowe Organizacji i Kierownictwa. Dom Organizatora, Toruń, 275–287 URL: https://www.researchgate.net/publication/347556181_Zarzadzanie_restrukturyzacja_Innowacyjnosc_i_konkurencyjnosc_w_obliczu_zmian [in Polish].
Nesterak, J., & Gąsiorek, P. Advantages and obstacles to implementing robotic process automation in the enterprises. Restructuring management, 77–87 [іn English].
Davenport, T., & Harris, J. (2007). Competing on Analytics. Boston, MA: Harvard Business School Press [іn English].
Chmielarz, W. (2013). Zarządzanie projektami: rozwój systemów informatycznych zarządzania. Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego [in Polish].
Davenport, T. H. (2013). Analytics 3.0. Harvard business review, 91 (12), 64–72 [іn English].
Velki, J. (2015). Opportunities and challenges associated with the implementation of the concept of big data. ICT achievements for business, industry and the public sector. Cham: Springer International Publishing Switzerland [іn English].
Anyan, S. (2016). Enterprise Cloud Computing Survey. URL: https://clutch.co/cloud/survey [іn English].
Henke, N., Bughin, J., Chui, M., Manyika, J., Saleh, T., Wiseman, B., Sethupathy, G. The age of analytics: Competing in a data-driven world. URL: https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/the-age-of-analytics-competing-in-a-data-driven-world# [in English].
Singh, G., Mishra, A., & Sagar, D. (2013). An overview of artificial intelligence. SBIT, 2 (1), 1–4 [in English].
Artificial intelligence. New opportunities for your company thanks to Comarch ERP (2021). Comarch. URL: https://www.comarch.pl/files-pl/file_628/Sztuczna-Inteligencja.pdf [іn English].
Tecuci, G. (2012). Artificial Intelligence. WIREs Computational Statistics, 4, 2, 168–180 [іn English].
Ramaswamy, S. (2017). How companies are already using AI. Harvard Business Review. URL: https://hbr.org/2017/04/how-companies-are-already-using-ai [іn English].
Singh, G., Mishra, A., & Sagar, D. (2013). An overview of artificial intelligence. SBIT, 2 (1), 1–4 [іn English].
Artificial intelligence. New opportunities for your company thanks to Comarch ERP (2021). Comarch. URL: https://www.comarch.pl/files-pl/file_628/Sztuczna-Inteligencja.pdf. [іn English].
Tecuci, G. (2012). Artificial Intelligence. WIREs Computational Statistics, 4, 2, 168–180 [іn English].
Velki, J. (2015). Opportunities and challenges associated with the implementation of the concept of big data. ICT achievements for business, industry and the public sector. Cham: Springer International Publishing Switzerland [іn English].
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