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SAP Analytics Cloud: Intellectual service of digital transformation

https://doi.org/10.32517/0234-0453-2022-37-2-24-33

Abstract

In the context of digital changes taking place in the world, there is a need to use an end-to-end competency-based approach in the implementation of the Federal State Educational Standards of Higher Education. The use of effective data mining tools as a tool for understanding digital transformation processes is becoming especially relevant. The process of digital transformation of education is one of the most important components of the digitalization of the economy, which is the reason for the need to study the basics of data mining as an essential element of the educational paradigm of the current stage in education. The methodology for teaching the technology of “intelligent search” in SAP Analytics Cloud is relevant. This methodology is divided into several stages, each of which is aimed at the formation of specific professional competencies and their consolidation. The situational task that allows you to form the necessary competencies within the framework of the “Business Informatics” direction is described in the article. Also, two cases are proposed to consolidate the acquired competencies through independent work. Format of the methodology description is presented in the form of the traditional key-by-key technology, which is widely used in obtaining professional competencies in IT sphere.

About the Authors

D. M. Nazarov
Ural State Economic University
Russian Federation

Dmitry M. Nazarov, Doctor of Sciences (Economics), Docent, Head of the Department of Business Informatics

Ekaterinburg



D. B. Kovtun
Ural State Economic University
Russian Federation

Denis B. Kovtun, Assistant at the Department of Business Informatics

Ekaterinburg



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For citations:


Nazarov D.M., Kovtun D.B. SAP Analytics Cloud: Intellectual service of digital transformation. Informatics and education. 2022;37(2):24-33. (In Russ.) https://doi.org/10.32517/0234-0453-2022-37-2-24-33

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)