Article

Received 13.11.2024

Revised 04.03.2025

Accepted 29.03.2025

Retrieved from Iss. 117, P. 1, 2025

Pages 196 -208

Zinchenko, A., & Zinchenko, O. (2025). DEVELOPMENT OF INFORMATION TECHNOLOGY TO SUPPORT DECISION MAKING FOR SYSTEMIC AND STRATEGIC ANALYSIS OF JSC «UKRZALIZNYTSYA». Automobile Roads and Road Construction, (117.1), 196-208. https://doi.org/10.33744/0365-8171-2025-117.1-196-208

DEVELOPMENT OF INFORMATION TECHNOLOGY TO SUPPORT DECISION MAKING FOR SYSTEMIC AND STRATEGIC ANALYSIS OF JSC «UKRZALIZNYTSYA»

Artem Zinchenko Olga Zinchenko

The paper proposes an information technology for a decision support system (DSS) designed for systemic and strategic analysis of JSC «Ukrzaliznytsia» (Ukrainian Railways). The aim of the study is to develop a comprehensive automated information system that integrates modern methods of qualitative and quantitative data analysis to enhance the efficiency of business process management, risk assessment, and strategic planning within the railway industry. The object of the research is a decision support system for systemic and strategic analysis at JSC «Ukrzaliznytsia», encompassing data analysis methods, system architecture, and mechanisms for integration with other corporate information systems. The authors provide a detailed description of the architecture and functionality of the proposed DSS, which consists of three levels: the data level (collection, processing, and storage of information from various internal and external sources), the analysis level (qualitative and quantitative analysis using state-of-the-art methods and tools), and the decision-making level (data visualization, reporting, and recommendations). Additionally, the paper outlines groups of methods for each subsystem, as well as software tools and technologies that can be employed to implement the DSS information technology. To select optimal decisions based on specified criteria, modern analytical methods are utilized, including artificial intelligence, machine learning, and econometric models, enabling effective trend forecasting and risk evaluation. The proposed DSS information technology facilitates improved integration with other company information systems, ensuring seamless data exchange and eliminating duplication. The implementation of this system is expected to enhance the competitiveness of «Ukrzaliznytsia» at both national and international levels. Future research directions include expanding the system's functional capabilities, particularly through the application of deep learning and blockchain technologies to ensure transparency and security in information processes. The development of new analytical methods will also contribute to improving forecasting accuracy and strategic adaptability

information technology, decision support system, qualitative and quantitative data analysis, strategic analysis, machine learning
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https://doi.org/10.33744/0365-8171-2025-117.1-196-208