DEVELOPING ANALYTICAL COMPETENCE OF FUTURE ECONOMISTS THROUGH THE INTEGRATION OF DIGITAL INSTRUMENTAL PLATFORMS
PDF (Ukrainian)

Keywords

analytical competence
scenario modeling
pilot projects
information technologies
business analytics
digital education

How to Cite

[1]
O. Kruhlyk, “DEVELOPING ANALYTICAL COMPETENCE OF FUTURE ECONOMISTS THROUGH THE INTEGRATION OF DIGITAL INSTRUMENTAL PLATFORMS”, ITLT, vol. 112, no. 2, pp. 44–58, Apr. 2026, doi: 10.33407/itlt.v112i2.6229.

Abstract

The article substantiates the rationale for integrating scenario modelling and pilot design technologies, supported by off-the-shelf business intelligence solutions, into the process of developing the analytical competence of future economists. A conceptual and methodological model has been developed that enables economics students to formulate alternative business scenarios, to justify the choice of experimental regions, to critically interpret analytical findings, and to scale up successful practices using modern BI (Business Intelligence) platforms, OLAP tools, and cloud-oriented planning systems. The study’s methodological framework is based on competence-based, scenario-based and experimental pedagogical approaches, as well as a systematic review of over eighty academic sources reflecting the evolution of digital analytics in higher economic education.  The proposed conceptual and methodological model, which follows the sequence “data → scenario → pilot → analytics”, is implemented through Power BI, Tableau, Qlik, SSAS Tabular, Anaplan, Oracle Cloud EPM and Optimizely. These tools do not require programming skills and support interactive what-if analysis, multidimensional aggregation and driver-based budgeting. The theoretical contribution of the study lies in the systematisation of the functional capabilities of ready-made IT solutions in the context of developing the cognitive, technological, communicative and reflective components of the analytical competence of future economists. The practical contribution is represented by a set of three hypothetical cases: “four regions – four scenarios” for a distribution network, A/B testing of pricing policy in electronic commerce (e-commerce), and production capacity planning under conditions of electricity price volatility. For each case, the structure of input data, success criteria, a checklist for assessing student solutions and dashboard mock-ups are provided. The proposed approach reduces the gap between theoretical training and the practical requirements of employers, enhances graduates’ readiness to participate in data-driven decision-making processes, and promotes the development of a culture of experimental research in the Ukrainian business environment.

PDF (Ukrainian)

References

[1] M. Amer, T. U. Daim and A. Jetter, «A review of scenario planning,» Futures, vol. 46, pp. 23–40, 2013, doi: https://doi.org/10.1016/j.futures.2012.10.003.

[2] L. Börjeson, M. Höjer, K. H. Dreborg, T. Ekvall and G. Finnveden, «Scenario types and techniques: Towards a user’s guide» Futures, vol. 38, no. 7, pp. 723 – 739, 2006, doi: https://doi.org/10.1016/j.futures.2005.12.002.

[3] V. Grimm, S. Kretschmer, S. Mehl, «Green innovations: The organizational setup of pilot projects and its influence on consumer perceptions» Energy Policy, vol. 142, art. no. 111474, 2020, doi: https://doi.org/10.1016/j.enpol.2020.111474.

[4] Gartner Inc., «Gartner Magic Quadrant for Analytics and Business Intelligence Platforms», Stamford, CT, USA, 2024. [Online]. Available: https://www.gartner.com/en/documents/6576602 (accessed Apr. 15, 2025).

[5] [5] R. G. Dyson, «Strategic development and SWOT analysis at the University of Warwick» European Journal of Operational Research, vol. 152, no. 3, pp. 631 – 640, 2004, doi: https://doi.org/10.1016/S0377-2217(03)00062-6.

[6] T. Perera and T. D. Rupasinghe, «Teaching supply chain simulation: From beginners to professionals» in Proc. 2015 Winter Simulation Conf., Huntington Beach, CA, USA, 2015, pp. 3548 – 3556, doi: htpps://doi.org/10.1109/WSC.2015.7408514.

[7] H. Wang and S. Wang, «Teaching tip: Improving student performance by introducing a no-code approach: A course unit of decision support systems» Journal of Information Systems Education, vol. 33, no. 2, pp. 127 –134, 2022. [Online]. Available: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1969&context=jise .

[8] M. Reza, I. Musabirov, N. Laundry, and M. Liut, «Using A/B testing as a pedagogical tool for iterative design in HCI classrooms» in Proc. EduCHI ’23—5th Symp. on HCI Education, Hamburg, Germany, Apr. 2023, Art. no. 7, doi: https://doi.org/10.1145/3587399.3587412.

[9] E. B. Nickell, J. M. Schwebke, and P. Goldwater, «An introductory audit data analytics case study: Using Microsoft Power BI and Benford’s Law to detect accounting irregularities» Journal of Accounting Education, vol. 64, art. no. 100855, 2023, doi: https://doi.org/10.1016/j.jaccedu.2023.100855.

[10] C. Liu and C. Downing, «Teaching Tip: Using Text Analytics AI Insights in Microsoft Power BI Desktop to Score Sentiments, Extract Key Phrases, and Discover Unstructured Data Patterns» Journal of Information Systems Education, vol. 35, no. 1, pp. 48 – 55, 2024, doi: 10.62273/PKER1800.

[11] M. Bergmann, C. Brück, T. Knauer and A. Schwering, «Digitization of the budgeting process: Determinants of the use of business analytics and its effect on satisfaction with the budgeting process» Journal of Management Control, vol. 31, pp. 25 – 54, 2020, doi: 10.1007/s00187-019-00291-y.

[12] T. R. Weirich, N. Tschakert and S. Kozlowski, «Teaching data analytics skills in auditing classes using Tableau» Journal of Emerging Technologies in Accounting, vol. 15, no. 2, pp. 137 – 150, 2018, doi: 10.2308/jeta-52264.

[13] World Economic Forum, The Future of Jobs Report 2023, Geneva, Switzerland, 2023. [Online]. Available: https://www.weforum.org/publications/the-future-of-jobs-report-2023/ .


REFERENCES (TRANSLATED AND TRANSLITERATED)

[1] M. Amer, T. U. Daim and A. Jetter, «A review of scenario planning» Futures, vol. 46, pp. 23–40, 2013, 2013, doi: https://doi.org/10.1016/j.futures.2012.10.003. (in English)

[2] L. Börjeson, M. Höjer, K. H. Dreborg, T. Ekvall and G. Finnveden, «Scenario types and techniques: Towards a user’s guide» Futures, vol. 38, no. 7, pp. 723 – 739, 2006, doi: https://doi.org/10.1016/j.futures.2005.12.002. (in English)

[3] V. Grimm, S. Kretschmer, S. Mehl, «Green innovations: The organizational setup of pilot projects and its influence on consumer perceptions» Energy Policy, vol. 142, art. no. 111474, 2020, doi: https://doi.org/10.1016/j.enpol.2020.111474. (in English)

[4] Gartner Inc., Gartner «Magic Quadrant for Analytics and Business Intelligence Platforms», Stamford, CT, USA, 2024. [Online]. Available: https://www.gartner.com/en/documents/6576602 (accessed Apr. 15, 2025). (in English)

[5] R. G. Dyson, «Strategic development and SWOT analysis at the University of Warwick» European Journal of Operational Research, vol. 152, no. 3, pp. 631 – 640, 2004, doi: https://doi.org/10.1016/S0377-2217(03)00062-6. (in English)

[6] T. Perera and T. D. Rupasinghe, «Teaching supply chain simulation: From beginners to professionals» in Proc. 2015 Winter Simulation Conf., Huntington Beach, CA, USA, 2015, pp. 3548 – 3556, doi: htpps://doi.org/10.1109/WSC.2015.7408514. (in English)

[7] H. Wang and S. Wang, «Teaching tip: Improving student performance by introducing a no-code approach: A course unit of decision support systems» Journal of Information Systems Education, vol. 33, no. 2, pp. 127 –134, 2022. [Online]. Available: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1969&context=jise. (in English)

[8] M. Reza, I. Musabirov, N. Laundry, and M. Liut, «Using A/B testing as a pedagogical tool for iterative design in HCI classrooms» in Proc. EduCHI ’23—5th Symp. on HCI Education, Hamburg, Germany, Apr. 2023, Art. no. 7, doi: https://doi.org/10.1145/3587399.3587412. (in English)

[9] E. B. Nickell, J. M. Schwebke, and P. Goldwater, «An introductory audit data analytics case study: Using Microsoft Power BI and Benford’s Law to detect accounting irregularities» Journal of Accounting Education, vol. 64, art. no. 100855, 2023, doi: https://doi.org/10.1016/j.jaccedu.2023.100855. (in English)

[10] C. Liu and C. Downing, «Teaching Tip: Using Text Analytics AI Insights in Microsoft Power BI Desktop to Score Sentiments, Extract Key Phrases, and Discover Unstructured Data Patterns» Journal of Information Systems Education, vol. 35, no. 1, pp. 48 – 55, 2024, doi: 10.62273/PKER1800. (in English)

[11] M. Bergmann, C. Brück, T. Knauer and A. Schwering, «Digitization of the budgeting process: Determinants of the use of business analytics and its effect on satisfaction with the budgeting process» Journal of Management Control, vol. 31, no. 1, pp. 25 – 54, 2020, doi: 10.1007/s00187-019-00291-y. (in English)

[12] T. R. Weirich, N. Tschakert and S. Kozlowski, «Teaching data analytics skills in auditing classes using Tableau» Journal of Emerging Technologies in Accounting, vol. 15, no. 2, pp. 137 – 150, 2018, doi: 10.2308/jeta-52264. (in English)

[13] World Economic Forum, The Future of Jobs Report 2023, Geneva, Switzerland, 2023. [Online]. Available: https://www.weforum.org/publications/the-future-of-jobs-report-2023/. (in English)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2026 Oleh Kruhlyk

Downloads

Download data is not yet available.