Information Analytical Management System for the Qualified Personnel Training To Supply the Needs of the Russian Labor Market

Abstract

The article is devoted to the development of new toolkit aimed at improving the balance of the labor market, increasing the efficiency of the vocational education system, as well as increasing the employment of graduates in their specialty. It is proposed to create a unified end-to-end expertanalytical system connecting from one end the employer with his needs for qualified personnel, and from the otherthe student-entrant and his parents. Implementation of the system is expected in the form of Internet portals and mobile applications (services) that interact with the system of modeling and forecasting the needs of the labor market in qualified personnel. The development and implementation of a fundamentally new innovative type of IT-services on the Russian market based on the creation of a set of mobile applications (services) to provide relevant information on the labor market and the education system to high school students and potential entrants should be widely in demand in the future. The system not only collects data and forecasts the staffing needs of the economy in occupations in demand, but also gives users the opportunity to plan their career path-from diagnosing their professional inclinations to choosing an educational organization where they can get an education and jobs at leading enterprises. As a result, the developed service contributes to an increase in the level of employment of graduates in the received specialty. The proposed service will help decide on admission to a university or college not on an intuitive level, but on a rational one, guided by logic and accurate scientifically-based forecasts. In this way, a digital approach to improving the balance of the labor market by increasing the efficiency of managing the formation and use of labor resources will be implemented. Prototypes of the service in the form of career guidance portals "My Career" have been successfully implemented in four regions of the Russian Federation.