Purpose of the study. The main purpose of this article is to identify the main directions, means and methods of applying digital technological solutions in the static activities of the Republic of Uzbekistan and develop new recommendations for further improvement of this area of the national economy in the context of digital transformation of the world economic system.

Materials and methods. When writing this article, the authors used the methods of system analysis, synthesis, induction, deduction, methods of working with computer networks, digital services and platforms, special methods and tools necessary for working with a statistical information system, statistical, optimization and software methods for working with the portal of the Agency of Statistics under the President of the Republic of Uzbekistan.

Results. The authors of the article studied modern scientific and practical approaches to the effective use of digital technological solutions in the field of statistics, both on a global scale and in the Republic of Uzbekistan. Based on the conducted research, the authors concluded that in order to improve the national statistical system of the Republic of Uzbekistan, it is necessary to widely use advanced technological solutions using a full range of digital mechanisms, including innovative approaches to automating the processes of collecting and processing statistical information, creating the possibility of searching and obtaining statistical and analytical data in an interactive form for short periods of time, organizing interaction between statistical bodies and other ministries and departments of the country.

The authors of the paper also noted that all processes for the effective introduction of digital technologies in the statistical sphere are carried out within the framework of the «Digital Uzbekistan – 2030» strategy and in accordance with the decree of the President of the Republic of Uzbekistan. In particular, the Agency of Statistics under the President of the Republic of Uzbekistan was entrusted with certain tasks, such as improving information systems for storing, processing and presenting statistical data, platforms for the unified state register of enterprises and organizations, as well as automating population registration processes. As part of the implementation of these tasks, a lot of work is being done to in-depth study of new areas and modern technologies in the field of the digital economy and e-government for their implementation in statistical activities.

Conclusion. Modern world trends in the effective implementation of digital technologies in the processes of collecting, processing, transmitting and storing information in various sectors and areas of the world economy are also firmly included in the sphere of statistical activity of the Republic of Uzbekistan. As practice shows, at present, digital web services, software systems, information systems based on the use of digital devices and technologies are already operating in the field of statistics of Uzbekistan. But, along with the already existing achievements in the application of digital solutions in the field of statistics of the Republic of Uzbekistan, the methodology for the effective use of digital mechanisms and the organization of interdepartmental information interaction is being improved in order to enhance the quality of information exchange of data to develop optimal management decisions and increase the competitiveness of the national economy of the Republic of Uzbekistan.

The purpose of this research is to study modern problems and prospects for solving the processing of big data containing information about real estate, as well as the possibility of practical implementation of the methodology for processing such data arrays by designing and filling a special graphic abstraction «metahouse» on a practical example.

Materials and methods. The study includes a review of bibliographic sources on the problems of big data analysis and their application in the modern field of construction of large cities. During the study, a technique for presenting data in a graphical form – abstraction was used. The mathematical basis of the technique is the use of multidimensional spaces, where measurements are the characteristics of individual objects. Computer simulation of a practical problem was applied using the C# programming language. Big data storage is based on the MongoDB server. To visualize data, a Web interface based on HTML and CSS is used.

Results. In the course of the work, the main characteristics of big data were identified, and the specifics of data arrays consisting of information about real estate objects in a large city were described. When processing data consisting of information about real estate objects of a large city, certain difficulties arise. Thereby, methods for effectively solving the set practical task of processing and searching for patterns in a large data array were proposed: «metahouse» abstraction, data aggregator.

Tabular data were obtained for a large city by analyzing three million records containing more than 10 data groups, with a basic set of parameters: floor, number of floors, price, area, living area, kitchen area, type, operation. A MongoDB cluster was created on several computers, each of which was working with its own data set without intermediate results.

The results of the computational experiment showed that when using the graphical form (vector) of big data representation, the costs and time for interpreting mining data were reduced.

Combining big data processing methods and their presentation through graphical abstraction allows getting new results from existing data sets.

Conclusion. During the study, it was found that the presentation of groups of the received data in a graphic image has a number of advantages over a tabular presentation of data (a vector image is easy to scale, the ability to compare without plotting).

The proposed way for visualizing big data by constructing abstract vector images is an alternative to traditional tables, allowing you to take a different look at data arrays and the results of their processing. The results obtained can be used both for the primary study of big data processing technologies and as a basis for the development of real applications in the following areas: analysis of changes in the area of houses over time, analysis of changes in the number of floors of urban development, dynamics and distribution of supply and demand, etc.

The purpose of the research. The article is devoted to the analysis of the main directions of development of the higher education system in Russia, which is currently under modernization and should receive new content in order to become adequate to the strategic goals and national priorities of our country in the new geopolitical conditions. The lessons of Russia’s special military operation in Ukraine have shown the need to modernize our country’s higher education in the interests of developing the military-industrial complex and ensuring national security. At the same time, in order to improve the quality of education of engineering specialists, they also need systemic and humanitarian knowledge based on the latest achievements of domestic and world science. This knowledge is also necessary for other specialists with higher education in order for them to form a systemic type of thinking, which is required today to adequately counter the new challenges and threats of the 21st century.

Materials and methods. In the course of the research, review publications were used on the current state of ensuring Russia’s national security by the necessary specialists with higher education, as well as on the projected challenges and threats to Russia’s national security, the counteraction of which requires adequate changes in the education system.

The results of the study. As a result of the research, the structure of priority directions for the development of the higher education system in Russia for the period up to 2030 has been determined. The implementation of these directions will make this system more adequate to Russia’s strategic goals and national priorities for this period in the new geopolitical conditions. It is shown that one of the urgent tasks is the formation of a comprehensive information education system in our country, the conceptual foundations of which have been developed in the Russian Academy of Sciences. The tasks of the education system for the formation of a culture of safety in society are also considered – a new direction in the development of culture, which is already being formed and is a necessary condition for the further safe development of world civilization.

Purpose of the study. The formulation of a program of educational work in universities is one of the most important in the framework of the formation of the personality of a graduate. However, the rules for the formation of such a program are framework and are based on the state strategy of educational activities, as well as in accordance with the profile of the educational institution itself. Such an «open» state of the formation of programs, of course, gives advantages in the freedom to choose the trajectories of educational work with students; however, it also leaves an imprint on the possibility of fully considering the interests of all aspects of the educational process. It is important to form a vision of how, what parameters will consider the opinion of not only the leadership of the educational institution, the teaching staff, but also the students themselves, as well as their parents.

Materials and methods. The basis for the study was the materials of the regulatory framework and theoretical articles in the field of educational activities. Emphasis was placed on a systematic analysis of the relationship of educational practices with an eye on the value orientations of today’s youth. In terms of developing proposals, the method of an online questionnaire survey of students, parents and legal guardians, teaching staff, faculty management, as well as representatives of departments in whose competence are issues of educational activities was used.

Results. Maps for assessing the parameters of educational work have been developed in the context of spiritual, moral, and socio-axiological parameters. Based on the analysis, it was possible to structure both the strengths of the educational practice of the university, as well as weaknesses that are important to pay attention to. As a result, the approach described in the article allows an educational institution, when forming its own program of educating students, determining the development trajectories of each student, to understand what problems and misunderstandings may arise in the system plan, and to determine for themselves what individual parameters of educational contexts are important to focus on.

Conclusion. The author is working on the systematization of the practices of the educational process through the systemic decomposition of the individual components of the programs of educational work with students at the university. Questions that require further research – what should be the indicative indexes and tools for measuring them, as well as the frequency of such work. Therefore, for example, it draws attention to what metrics will allow assessing the degree of development of internal feelings among students as will, justice, faith in goodness, etc.

The purpose of the research. The implementation of end-to-end digital technologies into the economic activities of enterprises radically changes the organization of production and business processes within the framework of more efficient business models. As a result, new application scenarios are formed that determine the changing structure of production and business processes and the emergence of new roles of participants in the value chain. From this point of view, the article aims to develop and substantiate methods for constructing production and business processes for various types of business models based on modern digital technologies.

Research methods. The paper discusses the principles and uses methods for identifying, classifying and constructing production and business processes for various application scenarios of digitalization of manufacturing enterprises. The methods of identification and classification of production and business processes are based on the definition of the stages of the product life cycle and the provision of services considered in the Reference Architectural Model Industrie 4.0 (RAMI). The proposed methods of constructing production and business processes are based on the use of digital platforms, digital twins (software administrative shells), methods of collecting and processing big data. For the selected types of production and business processes, an approach is proposed to describe the features of their implementation from the perspective of various application scenarios of digitalization. When constructing the structure of production and business processes, role models of interaction of participants in value chains are used.

Results. This paper presents the classification of production and business processes in accordance with the Reference Architectural Model Industrie 4.0 (RAMI), which highlights the innovative processes of product creation and service provision, production and supply chain processes, as well as asset management processes of enterprises. The analysis of various application scenarios for the selected classes of production and business processes was carried out, which made it possible to link these scenarios with the most common types of business models of digital enterprises. The role model of interaction of participants in the value chain has been clarified for the most common application scenario associated with the use of value-based services (VBS), which allows the accumulation and processing of generated digital data on the performance of physical assets at the operational, tactical and strategic management levels.

Conclusion. The developed methods of identification, classification and construction of production and business processes based on a scenario approach to the use of digital technologies and role modeling in the processes of interaction of participants in the value chain are aimed at improving the efficiency of creating and using business models of enterprises digital transformation.