MATHEMATICAL METHODS AND INFORMATION TECHNOLOGIES AS THE FOUNDATION OF MODERN ECONOMIC ANALYSIS
Abstract
The article examines the role of mathematical methods and information technologies as a fundamental basis for the formation and development of modern economic analytics. It is substantiated that under the conditions of digital transformation of the economy, the growth in the volume and diversity of data and increasing complexity of socio-economic processes, the need for the use of formalized analytical methods and advanced information solutions is significantly increasing. The theoretical foundations of applying economic and mathematical modeling, statistical and econometric methods, optimization techniques, forecasting and risk analysis in combination with information technologies, decision support systems, big data technologies and machine learning are revealed. The main areas of application of mathematical methods and IT in the process of economic analysis of business entities’ activities, evaluation of managerial decision effectiveness, modeling economic systems and forecasting their development are identified. Particular attention is paid to the issues of integration of analytical tools, automation of analytical processes and ensuring the quality of analytical information. It is proved that the synergy of mathematical methods and information technologies contributes to increasing the accuracy of analytical calculations, the timeliness of results, risk reduction and the validity of managerial decisions. It is concluded that the further development of modern economic analytics and the enhancement of the competitiveness of economic systems are impossible without the systematic implementation of advanced mathematical methods and digital technologies, which form the methodological and instrumental basis for effective management of economic processes. The expediency of using a comprehensive approach to economic analytics is substantiated, which involves combining classical methods of economic analysis with innovative digital technologies, ensuring the adaptability of analytical systems to dynamic conditions of the modern economic environment. This improves the quality of forecasts and strategic planning under conditions of uncertainty.
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