The paper explores the problems associated with new technological solutions that have emerged in the era of digitalization. First of all, this applies to Big Data technology. Technology diffusion statistics and development forecasts are presented. The authors identify two factors that negatively affect the spread of Big Data: the openness of information and the institution of higher education. A solution is proposed for leveling the negative impact of these factors, that is a change in the essential characteristics of the control system necessary for the advanced development of both managed and managing subsystems of an organization. For this, on the basis of the observations carried out, the modern essential characteristics of management systems have been analyzed and the conclusion has been made about their inconsistency with innovative technical and technological solutions. The authors see the solution to the problem in a change in corporate culture, which should become the foundation of the managerial decision-making system. As a result of studying the content of educational programs of higher educational institutions located in the constituent entities of the Russian Federation, the authors observe its interdisciplinarity, project activities, and the study of IT technologies, but there is also a considerable group of universities where departments and institutes try to maintain the status quo in any way, using for achieving this goal all available means. According to the authors, knowledge of the management methodology and the availability of analytical competencies are a catalyst for the generation of a leader striving to implement the model of the alignment of interests, for which it is necessary to build an appropriate corporate culture, the values of which will change the essential characteristics of the management system existing in an organization; the role of the institution of higher education in this process is dominant. The implementation of the authors' solution to the problem will make it possible to level the risks associated with the implementation of Big Data and aimed at creating processes of organizations' digital slavery.