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RESEARCH CENTER FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

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Liburkina L. M.

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Comparative Analysis in Data Analytics: Essence, Capabilities and Limitations
Sierova I. A.

Sierova, Iryna A. (2026) “Comparative Analysis in Data Analytics: Essence, Capabilities and Limitations.” Business Inform 7:235–244.
https://doi.org/10.32983/2222-4459-2026-7-235-244

Section: Economic statistics

Article is written in Ukrainian
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UDC 311.303.722.4.338.1

Abstract:
The rapid digital transformation of the economy, the proliferation of big data and artificial intelligence, and the implementation of the System of National Accounts (SNA 2025) underscore the need to revisit the methodological foundations of comparative analysis as one of the core tools of contemporary analytical practice. The aim of this article is to advance the theoretical and methodological framework for the application of comparative analysis by systematizing the conditions for its use, generalizing typical errors in the interpretation of results, substantiating requirements for ensuring the comparability of statistical data, and identifying opportunities for integrating modern digital analytical technologies into the research process. The methodological foundation of the study comprises methods of analytical generalization, systematization, and logical analysis. The research is grounded in contemporary approaches to data analytics. Particular attention is devoted to statistical requirements for ensuring the comparability of indicators, the structural completeness of information, the selection of comparison criteria, and the assessment of statistical significance and practical relevance of the results. The study systematizes the functional directions of comparative analysis application according to types of analytical tasks, generalizes typical errors in result interpretation, develops a comparative characterization of statistical significance and practical relevance, and substantiates the relationship between data analytics levels and modern tools of comparative analysis. A comparative assessment of methodological risks associated with the use of artificial intelligence is proposed, and directions for their minimization are identified through the combination of classical statistical methods with modern digital data analytics platforms. The scientific novelty lies in the development of a comprehensive economic and statistical approach to conducting comparative analysis, which integrates the requirements of official statistics, principles of ensuring data comparability, assessment of result reliability, modern digital analytical tools, and methodological aspects of artificial intelligence application. Unlike existing studies, the proposed approach establishes a unified logic of interconnection between analytical tasks, comparison criteria, interpretation of results, and the selection of analytical tools. The practical significance of the results consists in their potential application for building statistical monitoring systems, evaluating the effectiveness of managerial decisions, and improving the information and analytical support for the activities of public administration bodies, business structures, and scientific research.

Keywords: comparative analysis; data completeness; measurement of result assessment; statistical comparability; data analytics; digital transformation; artificial intelligence.

Tabl.: 4. Bibl.: 32.

Sierova Iryna A. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics and Economic Forecasting, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61165, Ukraine)
Email: [email protected]

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