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This chapter proposes a new model of managing educational institutions' activities to provide staffing needs: customer synchronized resource planning (CSRP). It describes a technology that rebuilds the learning process in order to reduce the time needed to prepare staff adequately with the competencies required by employers as requested by the economy sector. At present the development of an open system for the educational institution is being carried out. This system is able not only to create an educational program dynamically, which allows us to get the right number of specialists with the desired competencies in the minimum period, but also to rebuild the agency's management system for new tasks: to generate the necessary training materials, make changes in the timetable, and rebuild the educational portal by adding new data.

The concept of “digital twin” is the digital transformation basis of any modern enterprise. To meet the demands of Industry 4.0, the modern economy is faced with the task of forming a citizen’s image, which cannot be effectively solved without creating its digital twin. These data can help solve such classes of problems as forming staffing for territorial development initiatives, forecasting and planning personnel dynamics in accordance with the organization strategy, and many others. The technology of creating a person’s digital twin is considered, UML models of this process are built, existing technologies and the possibility of their application for each stage are considered. When examining an object, after identifying all the characteristics that are essential for solving the problem of building a digital twin, a mathematical model is made. At the data collection stage, the proposed method for integrated processing of unstructured information can be based on constructing ontology. The stage of a digital design consists of building an engineering model, for which the necessary technical tools and software applications used in the digital twin construction are determined. The stage of developing a digital twin is analyzed on the example of the educational process. The article discusses the existing approaches to applying this technology and the tasks that can be solved with its application to the education system. The article considers the design of an intelligent decision-making system based on processing the collected data of a student’s digital portrait. With its help, it will be possible to predict the student’s life path: his or her career, professional development, health, social activity, etc.