The article is devoted to the question of regional digitalization and telecommunication development of Ukraine. The conceptual basis of telecommunication development (TCD) assessment by system analysis methods is provided. The status classification model of the region according to the TCD level was investigated.The forecasting models of the TCD level of the region are developed by Markov chain with discrete status. The regional features have been studied. The homogeneous groups of TCD regions have been formed. Visual analysis of the obtained clustering trees by hierarchical methods allowed to conclude about a stable and high-quality division into three clusters. There are clusters of the high, medium and low level of telecommunication. The dynamics of regional clusters moving is estimated. There is set of regions that have never changed their position all the time. Thus, Volyn region was included in the cluster of regions with the medium TCD level. Kharkiv region was included in the high level TCD cluster. The most regions were characterized by a change in level. We get the opportunity at the next stage of the study to estimate the frequency of transitions of regional systems from state to state and to determine the matrices of transition probabilities for each year separately. The forecast of TCD level has been made by stochastic modeling methods, the probabilities of regions falling into different states in 2021 have been estimated. The status of systems with low TCD are likely to be in the high-level group of regions with a probability of slightly more than 2 %. for two years. The probability that the system with medium level of development for two years will remain in the same group is 61,7%. The probability that the status will worsen is 13,8 %, and that will improve – 24,5 %. The probability that the region is stayed in the same group the next two years is 69.5 %. The probability that the high level TCD region is moved to the medium level cluster of regions is 27,6 %, and probability to the low level TCD is 2,9 %.

No abstract

No abstract

Bulatova, O. et al. "Modeling of the Control System of Business Processes of Management of Region as an Economic Entity" Advances in Economics, Business and Management Research : 7 th International Conference on Modeling, Development and Strategic Management of Economic System. Atlantis Press, 2019. https://www. researchgate.net/publication/336724044_Modeling_ of_the_Control_System_of_Business_Processes_of_ Management_of_Region_as_an_Economic_Entity Eichengreen, B., and Rose, A. K. "Staying Afloat When the Wind Shifts: External Factors and Emerging-Market Banking Crises". NBER Working Paper. 1998. https:// www.nber.org/papers/w6370.pdf Konchyn, V. I., and Maksymenko, M. V. "Prychyny ta proiavy borhovoi kryzy v YeS i supernytski pidkhody antykryzovoi polityky" [Causes and Manifestations of the Debt Crisis in the EU and Rival Approaches to Anti-crisis Policy]. Visnyk [Kyivskoho instytutu biznesu ta tekhnolohii]

The article is devoted to development issues of identification and forecasting models of countries digitalization status in world space. The problems and prospects of countries digitization are becoming relevant at the current stage of the technological sphere development of mankind was proved. Digitization is becoming the most important factor in the economic growth of any country and is generally a modern trend in its development. Untimely elimination of digitalization problems can cause negative consequences in the scale of the entire country's economy. Therefore, the prospects of the digital development of countries and the corresponding models of identification and forecasting of their digitalization status require special research. It will reveal the factors of digital growth. In addition, the work shows that the justification based on the system approach and assessment of the sustainable digital development of countries using modern methods of system analysis and multidimensional analysis Data Science, as one of the most effective in performing mathematical modeling of the researched processes status, has not received sufficient development in scientific works and needs further development. Therefore, the purpose of the article is to improve the complex of mathematical models for estimation and analyzing countries digitalization status in world, which, unlike others, will be built on the basis of intellectual analysis methods of multidimensional objects. Based on the set purpose, the distribution of the world countries by clusters on the basis of spatial and dynamic data sampling is carried out and analyzed in the article. Using the methods of multidimensional analysis and Data Science, the positioning of Ukraine in relation to the countries of the world was found. It has been established that Ukraine belongs to the countries with an average status of digitization and at the same time below average rates of socio-economic development. In order to predict the status of countries digitization, experiments were conducted on the construction of various types of classification tree models and the best model was obtained. A detailed analysis of the links between the set of digitalization and countries socio-economic development indices allowed us to come to a conclusion about the high level of their mutual influence and the importance of forming a system of measures in these directions to ensure the proper level of country digital development. Keywords: model, classification trees, forecasting, digitalization, indicators of digitalization, telecommunication development.