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Methodological aspects of providing the discipline “Information and analytical technologies in business” for master's students in the “Economics” direction

https://doi.org/10.18384/2310-7219-2023-1-133-146

Abstract

Relevance. Nowadays, most companies use the data accumulated in the enterprise information sys­tem to solve corporate governance problems. The most modern means for operational data process­ing are information and analytical systems; therefore, the task of studying the peculiarities of training master's students in the use of information and analytical systems technologies is relevant.

Aim is to identify the peculiarities of studying the technologies of information and analytical systems by master's students in the “Economics” direction in the conditions of the “data-driven” approach used by modern companies; and to develop on this basis methodological aspects of ensuring the discipline “Information and analytical technologies in business” for master's students in the “Eco­nomics” direction.

Methodology. During the study, methods of analyzing professional and educational standards, edu­cational programs of disciplines of higher educational institutions, the content of advanced training courses on the development and use of information and analytical systems, scientific, educational, methodological and educational literature for universities were used.

Scientific novelty / theoretical and / or practical significance. The results of the study contribute to the methodology for training master's students in the “Economics” direction to use information and analytical systems in research, design, expert and organizational and management activities. Practi­cal significance lies in the development of methodological recommendations for conducting class­room laboratory classes using software tools for the implementation of information and analytical systems, assessment tools for monitoring students, which can be used to prepare master's students in the “Economics” direction.

Results of the research. Based on the analysis of experience in teaching the discipline “Information and analytical technologies in business” to master's students in the “Economics” direction meth­odological recommendations for conducting classroom laboratory classes using software tools for the implementation of information and analytical systems were developed. The goals and objectives of the course in the framework of economic education are indicated, the importance of obtaining skills in working with information and analytical systems by master's students in the “Economics” direction is justified. The peculiarities of the organization of the process of studying the discipline are indicated.

Conclusions. The article, based on the generalization of the practical experience of training master's students to use information and analytical systems technologies, presents methodological aspects of ensuring the discipline “Information and analytical technologies in business” including the follow­ing developments: cases, practical tasks, laboratory work, a set of home control works and evalua­tion tools for studying the discipline “Information and analytical technologies in business.”

About the Authors

O. V. Kartasheva
Yaroslavl Branch of the Financial University under the Government of the Russian Federation
Russian Federation

Olga V. Kartasheva - Cand. Sci. (Pedagogy), Assoc. Prof., Assoc. Prof. of the Department of Economics and Finance

ul. Cooperativnaya, 12a, Yaroslavl, 150003



A. Yu. Tarasova
Yaroslavl Branch of the Financial University under the Government of the Russian Federation
Russian Federation

Alla Yu. Tarasova - Cand. Sci. (Economy), Assoc. Prof., Assoc. Prof. of the Department of Economics and Finance

ul. Cooperativnaya, 12a, Yaroslavl, 150003



References

1. Akimkin E. E., Abbasov E. M., Nguen K. T. [Teaching the basics of operational data analysis]. In: Innovacionnye tekhnologii v sovremennom obrazovanii: sbornik materialov VI Mezhdunarodnoj nauchno-prakticheskoj internet-konferencii / Moskva, 12 dekabrya 2018 g. [Innovative technologies in modern education: collection of materials of the VI International scientific and practical Internet conference / Moscow, December 12, 2018]. Moscow, Scientific consultant Publ., 2019, pp. 19-27.

2. Bayumova M. V., Kartasheva O. V. [Analytical capabilities of modern information systems as a tool for the digitalization of corporate governance]. In: Cifrovye tekhnologii v social'no-ekonomicheskom razvitii Rossii: vzglyad molodyh: sbornik statej i tezisov dokladov XVI nacional'noj nauchno-prakticheskoj konferencii studentov, magistrantov i aspirantov s mezhdunarodnym uchastiem / Moskva, 18 fevralya 2020 g. [Digital technologies in the socio-economic development of Russia: the view of the young: a collection of articles and abstracts of reports of the XVI National Scientific and Practical Conference of Students, undergraduates and postgraduates with international participation / Moscow, February 18, 2020]. Moscow, Pero Publ., 2020, pp. 493-496.

3. Berezhnaya O. V., Berezhnaya E. V. [Methodical issues of application of information-analytical and statistical systems in education]. In: Sovremennoe srednee professional'noe obrazovanie [Modern secondary vocational education], 2020, no. 2, pp. 21-23.

4. Bogomolova E. V. [The system of teaching masters of history the discipline “Information technologies in forecasting and analytical activity”]. In: Vestnik Ryazanskogo gosudarstvennogo universiteta imeni S. A. Esenina [Bulletin of Ryazan State University named after S. A. Yesenin], 2014, no. 3 (44), pp. 7-14.

5. Bokov I. S. [Data-driven approach to management: it's not just about data]. In: Reformy v Rossii i problemy upravleniya - 2020. Materialy 35 Vserossijskoj nauchnoj konferencii molodyh uchyonyh / Moskva, 22 maya 2020 g. [Reforms in Russia and problems of management - 2020. Proceedings of the 35th AllRussian Scientific Conference of Young Scientists / Moscow, May 22, 2020]. Moscow, State University of Management, 2020, pp. 129-132.

6. Grigoreva Yu. O., Kuzmina M. D., Tarasova A. Yu. [Features of the formation of the digital environment in the Russian banking sector]. In: Molodaya nauka - 2021: sbornik materialov XII Nacional'noj nauchno-prakticheskoj konferencii molodyh uchyonyh, aspirantov i studentov / Yaroslavl', 13-14 aprelya 2021 g. [Young science - 2021: collection of materials of the XII National scientific and practical conference of young scientists, graduate students and students / Yaroslavl, April 13-14, 2021]. Yaroslavl, International Academy of Business and New Technologies Publ., 2021, pp. 35-39.

7. Zvyagin K. A., Yuzdova L. P., Ermakova E. N. [Information technologies in the preparation of the bachelor, master and extramural specialist]. In: Vestnik Yuzhno-Uralskogo gosudarstvennogo gumanitarno-pedagogicheskogo universiteta [Bulletin of the South Ural State Humanitarian and Pedagogical University], 2021, no. 1 (161), pp. 111-128.

8. Kartasheva O. V. [Application of statistical data marts of the Federal State Statistics Service in the study of operations with an OLAP cube]. In: Intellektual'nyj potencial obrazovatel'noj organizacii i social'no-ekonomicheskoe razvitie regiona: sbornik materialov mezhdunarodnoj nauchno-prakticheskoj konferencii Akademii MUBiNT / Yaroslavl', 6 aprelya 2020 g. [Intellectual potential of an educational organization and socio-economic development of the region: collection of materials of the international scientific and practical conference of the Academy of MUBiNT / Yaroslavl, April 6, 2020]. Yaroslavl, International Academy of Business and New Technologies Publ., 2020, pp. 167-170.

9. Kartasheva O. V. [The ability to work with information and analytical systems as one of the professional competencies of a student in the direction of preparation “Economics” (master's level)]. In: Intellektual'nyj potencial obrazovatel'noj organizacii i social'no-ekonomicheskoe razvitie regiona: sbornik materialov mezhdunarodnoj nauchno-prakticheskoj konferencii Akademii MUBiNT / Yaroslavl', 6 aprelya 2020 g. [Intellectual potential of an educational organization and socio-economic development of the region: collection of materials of the international scientific and practical conference of the Academy of MUBiNT / Yaroslavl, April 6, 2020]. Yaroslavl, International Academy of Business and New Technologies Publ., 2020, pp. 218-221.

10. Korneeva O. D. [Digital skills as an important component of the managerial competence of the future manager]. In: Vestnik Moskovskogo gosudarstvennogo oblastnogo universiteta. Seriya: Pedagogika [Bul-letin of the Moscow Region State University], 2021, no. 3, pp. 117-124. DOI: 10.18384/2310-7219-2021-3-117-124

11. Kravchenko T. K. [Training specialists in the field of business analytics: experience of the HSE Faculty of Business Informatics]. In: Biznes-informatika [Business Informatics], 2010, no. 4 (14), pp. 54-59.

12. Mityaeva A. M., Ibrahim A. A. [Forms of knowledge control of university students in conditions of distance learning]. In: Vestnik Moskovskogo gosudarstvennogo oblastnogo universiteta. Seriya: Pedagogika [Bulletin of the Moscow Region State University. Series: Pedagogy], 2021, no. 4, pp. 161-172. DOI: 10.18384/2310-7219-2021-4-161-172

13. Sannikova N. I., Kutyshkin A. V., Savina T. V. [On the use of information technologies in the formation of business-analytical competencies of bachelors of economics]. In: Innovacii v obrazovanii [Innovations in education], 2018, no. 9, pp. 116-130.

14. Solodchenko E. E., Edel'kina A. A. [Decision making based on data-driven approach]. In: Innovacii. Nauka. Obrazovanie [Innovations. Science. Education], 2021, no. 37, pp. 1038-1043.

15. Tarasova A. Yu. [Information support of financial management of transnational corporations and banks based on Big Data technology]. In: Sbornik nauchnyh statej nauchno-pedagogicheskih i prakticheskih rabotnikov [Collection of scientific articles of scientific and pedagogical and practical workers]. Yaroslavl, Kancler Publ., 2016, pp. 253-255.

16. Adelmo E., Camila F. A., Cassia F., Roseli de D. A data-driven approach to assess computational thinking concepts based on learners' artifacts. In: Informatics in Education, 2021, no. 21 (1). Available at: https://infedu.vu.lt/journal/INFEDU/article/690/info (accessed: 10.10.2022).

17. Belcastro L., Cantini R., Marozzo F. Programming big data analysis: principles and solutions. In: Journal of Big Data, 2022, no. 9 (4). Available at: https://journalofbigdata.springeropen.com (accessed: 10.10.2022).

18. Boutkhoum O., Hanine M. An integrated decision-making prototype based on OLAP systems and multicriteria analysis for complex decision-making problems. In: Applied Clinical Informatics Journal, 2017, no. 4 (11). Available at: https://amia.org/news-publications/journals/aci-applied-clinical-infor-matics-journal (accessed: 10.10.2022).

19. Ilko K., Christoph G. S., Bernd N. OLAP Patterns: A pattern-based approach to multidimensional data analysis. In: Data & Knowledge Engineering, 2022, no. 138. Available at: https://www.sciencedirect.com (accessed: 10.10.2022).

20. Mohsen D., Nasrin D., Mohammadali F., Seyedamin P. Teaching Software Engineering using Abstraction through Modeling. In: Informatics in Education, 2021, no. 4, vol. 20, pp. 515-532.


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