Description: The theme of this work is to determine the regularities of successful business partners work and to construct an algorithm through which this selection can be made using IT technologies. The subject is the information technology, in particular methods of data analysis, methods of selecting and establishing partner compatibility, psychological methods for identifying the typology of the individual. The object of the research is the process of selecting business partners. The aim of the work is to build an algorithm for selecting business partners, identify and explore methods that can accelerate the process of finding, selecting and researching the compatibility of business partners, taking into account the necessary criteria. Methods of correlation-regression analysis, cluster analysis, methods of determining the psychological type of a person were used. The results of the study are a system for determining the optimal parameters that make it possible to conclude on the compatibility of business partners and the algorithm of selecting a business partner based on the created database and building a prediction model, depending on certain criteria. The results obtained can be used as software developers to create applications with similar topics, as well as companies that have a need for a business partnership. The scientific novelty of the work is to improve the modern method of searching for business partners. This is done using an algorithm that implements a new direction and a new approach in this area. It differs from existing ones in that it uses indicators of personal compatibility of enterprise managers for the selection of candidates.
Keywords: business partner, compatibility, intellectual data analysis, model, personality typology, correlation, correlation analysis, Data Science