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Instrumental Data Analysis Methods in the Digital Economy

Year: 2025
Type: article
Abstract: In modern conditions, the digital economy is characterized by the active use of information technologies, data arrays, and analytical platforms.Economic processes are becoming so complex and multifactorial that classical analysis methods no longer provide the required accuracy and speed of information processing.That is why instrumental data analysis methods are gaining decisive importance, as they combine mathematical, statistical, econometric, and informational approaches, enabling deep, rapid, and adaptive analytics.When considering economic and mathematical modeling, it is worth noting that it makes it possible to formalize economic processes using equations, matrix models, and systems of dynamic analysis.In addition, this method is used to forecast macroeconomic indicators, optimize resources, and assess risks.The study of mathematical models allows for a deeper understanding of the properties and patterns of functioning of real economic objects and systems.In general terms, a mathematical model reflects the set of possible states of a system and defines the rules of transition between them, that is, it describes the fundamental regularities of its functioning [1].Overall, economic and mathematical models are divided into major types, which are classified according to specific criteria depending on their purpose and field of application.Such models are used to analyze individual functional components of the economy -production and technological, social, or territorial structures -as well as to study its individual subsystems.In particular, researchers distinguish models that cover the economy as a whole, specific sectors, industries, or regions, as well as complex models that describe production and consumption processes, the formation and distribution of income, the use of labor resources, pricing mechanisms, and financial
Language: English
Open Access status: gold
OpenAlex ID: W4417528720
FWCI:
Cites: 3
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Related to: 10