Algorithmization of Intellectual Data Analysis for Measuring the Country’s Innovation Potential

Abstract

The article examines the key principles of using applied intelligent systems in the economic analysis of Ukraine’s innovation potential, which significantly improves the processes of management algorithm construction and, as a result, creates a favorable environment for innovative development. It presents an algorithm for measuring the country’s innovation potential, which is based on basic methods applied for the analysis, distribution, and classification of input data space. The advantages of applying the principal component method are identified, along with a procedure for using it to determine key indicators for assessing the country’s innovation potential. An approach to determining innovation potential is formed based on intelligent data processing, allowing for the analysis and visualization of large volumes of data, as well as the identification of trends, key factors, and indicators influencing innovation activity in Ukraine. The research also justifies the feasibility and proposes an approach to using modern intelligent systems for continuous monitoring and control of the level of innovation activity, as well as for identifying and forecasting risks and issues, and determining possible ways to address them.