A practical study on evaluation of sales and service potential in distributing the industrial products (case study: regions in Ukraine)

The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.

The objective of this article is to rank firms by their financial performance using statistical I-distance method, which has the ability to determine both ranking and important factors. For this purpose, the method was first applied to 110 Turkish industrial firms without any sectorial separation and then to 7 different sectors, and various findings about firms, sectors and variables were obtained. The I-distance method is used to get rid of the high correlation between variables during the analysis. The reason for choosing the I-distance method is that it allows you to sort the variables by importance and eliminate insignificant variables, as well as take into account correlations between variables. The authors believe that the method is superior to other alternative methods thanks to these qualities. Through a number of analyses, it was possible to see positions of firms both within the whole sample and their own sectors. Furthermore, this method provided valuable information on which factors were important in assessing firms’ financial performance. It has been observed in the analyses that the most effective factors in ranking firms and separating them from each other were profitability ratios, and the fact that liquidity and financial leverage ratios are not effective at all. When examined from a sectoral perspective, the nonmetal mining sector and the chemical, petroleum and plastic sectors seem to be better than other sectors in the performance rankings.

The influence of information is the main productive force and the subject of production for the economic systems development. Information services contribute to the competitive economy, to the provision of optimal conditions for human development, and the implementation of effective democratic procedures. The results of the socio-economic development of Ukraine testify to the growing lag of the parameters of its competitiveness from many countries of the world and to the strengthening of differentiation in the regional development. Since the regional environment today largely determines the competitiveness of the entire national economy, it becomes important to discuss the appropriate methodological tools for assessing the development level of information and communication infrastructure (ICI) in the regions of Ukraine.
Given the necessity of solving a specific problem, a methodological approach to assessing the development level of ICI is proposed, which is based on the calculations of integral indicators by the entropy method and aimed at the implementation of a group of economic regions in accordance with its defined parameters. The improved methodical toolkit takes into account consistent stages of the system for estimating indicators, which allows to analyze and evaluate the levels of ICI regions development and to obtain the value of specific digital divisions between individual regions.
The implementation of the proposed scientific and methodological approach allowed to obtain the results of the assessment of the ICI development level, to allocate regional clusters depending on the ICI development levels, to identify factors that restrain the ICI development in the regions and to propose recommendations for their elimination.