The article deals with research of global regularities in the global system of higher education. The interrelation of information, Internet and educational environments, branding and marketing are investigated as a qualitative basis for sustainable development of universities. The government strategies stimulating development of international experience for students are explored and analyzed. This experience resulted in mass opening of international branch campuses and popularity of educational centers (“education hubs”). World tendencies in the field of human capital development in the sphere of higher education are revealed. Special attention is given to development of international institutional and industrial partnership. At present, the challenges facing the modern system of higher education in Russia are related to the need to ensure its competitiveness in the international arena and create centers for the innovative development within the Russian Federation. In the sphere of higher education of Russia, a number of priority projects of the higher education system can be identified, which were approved at the end of 2016: “Universities as Centers of Innovation Development”; the project of “Modern Digital Educational Environment” and the model of the export potential development of the “Russian education system”, which increases the attractiveness and competitiveness of the international educational services market in order to increase the volume of revenues from the export of educational services.
Objective. The aim of the research work is to develop a software solution for identifying trends in demand for consumer goods by analyzing big data.Method. To achieve this goal, the work analyzed the current state of development of the Internet retail market in Russia, as well as the technologies and tools for analyzing big data necessary for designing a software and hardware solution. To evaluate the effectiveness of the obtained data processing model, a sample obtained from open sources is used.Result. As a result of the study, a technical solution has been developed that allows analyzing the demand for goods in a given time range based on data from open sources.Conclusion. A software component has been developed to analyze the demand for consumer goods based on order data. The resulting technical solution supports batch processing of data, and the architecture of the infrastructure component allows distributed computing. Testing the tool on a real sample showed the effectiveness of this approach to analyzing consumer demand trends.
Objective. The study is conducted in order to identify the most valuable metrics for mobile application analytics and evaluate its effectiveness; consideration of the state and development trends of the mobile application market in the Russian Federation; determining priority areas for evaluating the effectiveness of mobile applications.Method. To achieve this goal, methods of analyzing promising scientific sources in the field of mobile application development are used, and development trends in this area in the Russian Federation are considered, taking into account political and social phenomena. This allows us to highlight the cause-and-effect relationships of the position of the direction of mobile application development in the market of the Russian Federation, as well as to identify promising evaluation criteria for the effectiveness of mobile applications. The information obtained allows us to consider the problems of developing mobile applications from a new point of view. To evaluate the effectiveness of performance indicators, methods of comparative analysis of mobile application data are used.Result. The results of the analysis of scientific sources are presented, the main evaluation criteria for the effectiveness of mobile applications are identified, their structuring is carried out, and the relationships between them are highlighted.Conclusion. The performance indicators considered in this study are applicable for predicting the competitiveness of mobile applications and assessing their attractiveness to users. It should be noted that in order to successfully measure the effectiveness of mobile applications, it is necessary to take into account the evaluation criteria that are important for a particular product in the aggregate. This makes it easier to identify aspects of mobile applications that need to be changed and modified.
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