ECONOMIC AND ANALYTICAL BASIS OF DIGITAL TRANSFORMATION OF ADMINISTRATION PROCESSES IN CONSTRUCTION ENTERPRISES

Abstract

An effective management system at an enterprise should be built on the use of optimal tools. Data Science is one of the ways to optimize the management system of a business entity through the use of analytical procedures that will help to obtain high-quality and timely information content to prevent risks in the internal business environment. Analytical tools allow identifying problematic aspects of the company's activities, assessing the impact of factors and developing ways to eliminate the negative impact of factors with further development of a development strategy. Interpretation of the results of the analysis of activities using predictive analytics helps to improve the efficiency of the management system at the enterprise. The conceptual foundations of updating business processes and management systems for a construction enterprise on the basis of digitalization (digital administration) are substantiated, which are positioned as a means for the enterprise to achieve competitive advantages in the multi-project field of construction development. Analytical IT tools should be applied to a sufficient amount of qualitative and operational information, which will allow for effective integration of research results into the management process at an enterprise. The article is devoted to solving an urgent scientific and applied problem of developing theoretical foundations and methodology, which includes information models, methods, cognitive mechanisms that allow for the analysis, selection, optimization, and evaluation of the effectiveness of the introduction of modern concepts of information modeling and integrated implementation of a construction project.