DEVELOPMENT OF THE METHODOLOGY OF ECONOMIC ANALYSIS IN THE CONTEXT OF THE DIGITAL TRANSFORMATION OF THE RUSSIAN ECONOMY

Abstract

The methodology of economic analysis is in a state of continuous transformation under the influence of digitalization, the emergence of new types of economic activity and changing operating conditions of business entities. This leads to the integration of big data and artificial intelligence into analytical procedures, as well as a shift in emphasis from static to dynamic models and analysis in a mode as close to real time as possible. The high generation rate and scale of data arrays coming from digital platforms and devices create a demand for innovative approaches to their processing, interpretation and visualization. The development of machine learning and artificial intelligence opens up new opportunities to identify hidden patterns and build more accurate forecasts of economic processes, but at the same time makes it necessary to critically assess the limits of the applicability of these models in different segments of the economy and with different types of source data. Under the current conditions, it is necessary to improve the methodology of economic analysis based on an integrated approach involving the development of a theoretical framework, as well as the creation and adaptation of new methods, tools and technologies of analysis focused on the digital environment.