Economic intelligence in the system of international economic relations: characteristics of the current situation and problems of development

Abstract

The object of research is economic intelligence in the system of international economic relations. The paper presents the author's position on the objective conditions for the dynamic development of economic Intelligence. The authors reasonably substantive definition of the categories «economic intelligence» and «business intelligence» as such, which are synonymous categories. An objective factor in the intensive development of economic Intelligence is the demand of the world community for the development of the digital economy. The world's leading states have announced the transition to a digital economy. One of the most problematic areas of the digitalization process is the problem of training personnel capable of using software and hardware integrated into the world's Business Intelligence systems (BI systems). In the future, the authors see the elimination of this problem in the establishment of the training of intelligent, competent specialists. These specialists must have the ability to analyze information and select the best solutions. They must be ready to use the tools of the world's BI systems. Have all theoretical and practical skills that will enable them to make the right intellectual management decisions in the daily life of their companies.

In the course of the study, data from the analysis of a large range of scientific literature and WEB-resources related to the object of study were used. The authors propose a matrix chronological reflection of the evolutionary path of development of BI-systems in the international market of information services in the first twenty years of the XXI century. The authors compared evolutionary trends in the first and second decades of the 21st century. The comparative analysis indicated an increase in the intensity of the development of the world business intelligence market in the second decade. To prove the correctness of the results obtained, the authors cite digital data from world statistics, which testify in favor of the author's research. Thus, both the author's comparative qualitative analysis and the quantitative assessments of world analysts gave the same logical conclusion.