ECONOMETRIC MODELING OF MANAGERIAL DECISIONS AT THE MACRO AND MICRO LEVELS The analysis of the process of making managerial decisions was carried out; its varieties are determined depending on the type of managerial decisions; the types used in the process of making managerial decisions are determined. The features and advantages of Data-driven decision-making over Highest Paid Person's Opinion are determined. The author's approach to understanding the concept of "information and analytical support of managerial decisions" is proposed, the types of information and analytical support of managerial decisions and the methods used for its formation are determined. The analysis of the features of the innovative development of the countries of the world is carried out. Based on the cluster analysis, three groups of countries were identified (countries that are leaders in innovative development, countries that are moderate innovators, countries that are modest innovators), which are characterized by similar parameters and results of innovative development. Identified and ranked (based on the results of the correlation analysis) the main factors that determine the features of the innovative development of the leading countries of innovative development. Based on the method of the main components, it has been established that the country's innovative development is more not deterministic, but a controlled process, the main objects of which are the architecture of the innovation infrastructure, the volume of public expenditures on R&D. The analysis of the state and peculiarities of the development of the innovative infrastructure of Ukraine is carried out. The strategic directions for the development of the innovative infrastructure of Ukraine (development of the institutional environment for the development of the innovative infrastructure, reconfiguration and diversification of the functional components of the innovative infrastructure, increasing the competitiveness of the structural elements of the functional components of the innovative infrastructure) have been determined. On the basis of correlation-regression analysis, calculation of partial coefficients of elasticity, the potentially most effective variant of reconfiguration of the functional components of the innovation infrastructure has been established.