Economic Data Modeling as a Basis for Analytical Support of Managerial Decision-Making

Abstract

Purpose. This article aims to substantiate the role of economic information structuring as a methodological foundation for analytical support of managerial decision-making in digitally transformed economic environments. The study addresses the gap between the growing availability of economic data and the quality of managerial decisions by focusing on how the internal structure of information resources influences analytical interpretability, coherence of indicators, and management outcomes. The research emphasizes that effective decision-making requires not only access to data but also a structured representation of economic relationships that reflect business logic. Methods. The study applies qualitative analysis and synthesis of contemporary academic literature in economics, business analytics, and management information systems. A comparative review of conceptual approaches to economic information organization was conducted to identify common patterns and limitations in existing analytical practices. A conceptual analytical framework integrating structured representation of economic information and normalization principles is used to examine their influence on analytical reliability and managerial interpretation within decision-support systems. Results. The findings demonstrate that increased volumes of economic information do not automatically enhance decision quality when internal structures fail to reflect real economic relationships. Poorly structured information leads to distorted analytical indicators and higher managerial risk. The study proposes a coherent analytical sequence linking information structure, quality of economic analysis, and managerial insight, showing how structured information supports informed decision-making at strategic, tactical, and operational levels. Conclusions. The study concludes that information structure should be considered a core methodological element of analytical decision-support systems rather than a purely technical component. Incorporating structured approaches to economic information enhances management quality, analytical competence, and the interpretability of analytical results in organizations.