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Training Students of Economic Fields of Study to Work in Domestic Data and Analytical Systems «Spark» and Ru Data

https://doi.org/10.18384/2949-4974-2023-4-147-172

Abstract

Relevance. In order to improve both the efficiency of the educational process and the quality of specialists graduating from universities, using the example of classes with students of the Financial University under the Government of the Russian Federation, one of the options for practical training of university students to work with top-rated domestic data and analytical systems SPARK-Interfax (SPARK) and RU Data. The example of classes shows the real benefit for employers of linking student learning with the business processes of any company, regardless of its work profile.

Aim. The purpose of this study is to improve the quality of graduates using an approach based on solving practical problems relevant for business in the process of learning.

Methodology. The use in the educational process of teaching the skills of working with specific domestic data and analytical systems in solving real problems for students of the speciality «Business IT» is carried out on the examples of working with the commercial version of the SPARK Interfax system and the demo version of RU Data. The article demonstrates what functions of systems are most necessary for this area of training and how, on the basis of their study, the professional competencies of students are being formed in the process of conducting classes on these topics.

Scientific novelty / theoretical and/or practical significance. The SPARK system («System of professional analysis of the market and companies»), developed by Interfax JSC at the expense of the Russian banks, was released in 2004 and since that time has taken the leading position among the systems designed to check counterparties and provide analytical reports on companies and banks in Russia. The system is of interest because it accumulates data from all available open sources and provides detailed information about companies, including financial analysis of companies, identifying risks in their activities, detecting the links between companies and company leaders, as well as because of its methodological techniques used in the system analysis of a problem or an object. At the present stage of digital technologies development, any company has the opportunity, based on open API technology, to integrate the SPARK system into its business process and, in real time, receive data on counterparties, foreign legal entities, and even media data for prompt decision making. As for the RU Data system, the head of this project, Evgeny Proshchin, states: «In the context of increased volatility, it is important for the market participants to constantly assess credit and market risks for their portfolio of financial instruments, as well as quickly monitor changes in market conditions. The RU Data platform provides all these opportunities, and also allows you to optimize the portfolio taking into account liquidity, reduce operational risk and release capital from the regulatory burden. RU Data provides automation of regulatory and business requirements for the assessment and management of financial risks of securities portfolios, meets the needs of various departments of institutional clients - the back office, accounting, depository, risk management».

Results. The necessity of linking education with practical activities is demonstrated, using the example of the work of the Department of Business Informatics of the Financial University under the Government of the Russian Federation. Such a connection forms extra professional competencies of students and increases their competitiveness in the labor market.

Conclusion. For students of economic specialties, especially of «Business Informatics», the study of the capabilities of domestic data and analytical systems is extremely relevant and allows not only to form and improve, but also to raise the level of the competencies provided for by the curriculum (in particular, the ability to use domestic applied software when solving their professional tasks competently and professionally in real market conditions).

About the Authors

A. Dzyubenko
Financial University under the Government of the Russian Federation
Russian Federation

Alla L. Dzyubenko – Cand. Sci. (Technical Sciences), Assoc. Prof.

Leningradsky pr-t, 49, Moscow, 125993



V. Loseva
Financial University under the Government of the Russian Federation
Russian Federation

Veronika V. Loseva – Cand. Sci. (Economy), Assoc. Prof.

Leningradsky pr-t, 49, Moscow, 125993



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