The factors and the consequences of the "Industry 4.0" development for the human capital of the industrial enterprise were arranged in this paper. Taking into consideration the limitations of the current approaches the attention was concentrate on such human capital elements, as: education (knowledge and skills), creative abilities, motivation, health, flexibility. The particularity of this investigation is connected with the correlations between the influences of the "Industry 4.0" development on all human capital elements of the industrial enterprise, potential impacts on the educational system, the employment in industry and the labour market. The main factors of the influences of the "Industry 4.0" development on the human capital of the industrial enterprise are such as: cyber physical systems implementation in manufacturing and its automation; work places computerization; implementation and development of advanced smart-technologies and informational systems; agile adaptability to the needs of customers; uprising the new risks for the health of the employees. Furthermore, the enterprise has to know all the answers for the market demand and the ecological situation. The main characteristics of the human capital in the age of "Industry 4.0" are increasing the importance of the creative workers and their motivation; taking into account the individual peculiarities; providing the mobility and flexibility of the employees, the content of job, working hours, places of work. The preservation of health is considered as the key to the working capacity. The human capital development should be made taking into account the influences on physical and mental health of the employees. Such hazards for the human capital of the industrial enterprise were summarized: confidential data losing, forthcoming the new risks for the health of the employees, workers’ creative abilities decreasing, "burnout", inappropriate motivation, etc. The consequences of the "Industry 4.0" development are creating "Education 4.0", remote work and outsourcing development, changing of the employment structure, the content of job, standards of health and safety at work. The prospects for overriding the risks and the consequences of changes should be identified taking into account the particularities of the country technological development, the demographic determinants, the indicators of the labour market, as well as the particular characteristics of the industrial enterprises. It was identified such main global trends against the risks of the "Industry 4.0", as: the flexible labour market development, increasing the efficiency of health and safety at work, STEM and STEAM employees training, commitment to improve the soft skills of workers, taking into consideration the particularities of the economic sectors, the level of the innovation development of the country and its human capital, investments in staff training, etc.

The expediency of forming the specialized database about industry and the system of their automated collection and usage were justified in this paper. This system allows to provide the information needs of the analysts and the scientists about the problems of industrial development. It provides the automated collection of the information for many countries of the world using any number of sources available as client-server resources on the Internet. The usage of modern data integration algorithms provides a diverse presentation of information, formats for its provision and frequency of updates. In addition, the advanced users of the system are provided with a wide range of options for creating search criteria and data acquisition format. The system is built as a client-server technology and is available for seamless integration with similar systems as a source and storage of information. In order to build a system, the analysis of existing in the world and popular in use statistical databases was carried out, their features, advantages and disadvantages were deаfined. It has been established that most of the existing statistical systems do not provide statistical data for Ukraine, and where they are, there is no detail data by type of economic activity and industry, and especially in industry. In addition, there are certain technical difficulties in working with data for users, the personalization of access is almost non-existent. The possibilities of the integrating existing databases with the systems that use information for modeling and forecasting both in query mode and especially in real time are rather limited. The structure of the statistical database about the development of industry has been formed, the indicators have been selected for its filling. The indicators were distributed by the sectors of the economy (the raw material production sector, the processing sector, the macrostatistics, other sectors). The sectors were disclosed by the key types of economic activity in accordance with the classification of economic activities in 2010 (CEA-2010), providing the predominant part of the creation of the added value of the economy of Ukraine. Each specific type of economic activity is disclosed by groups of industries and industries. In addition, the formation of the statistical database was carried out on the basis of assigning to each of the indicators other characteristics necessary for the automation: code, units of measurement, period, base (distribution of the indicators into the separate groups for the possibility of modeling), source (the statistical bases and sources from which the indicators and the data were collected). The modern relational database was used to store information, which allows solving optimization issues for working with the most powerful, but not yet large data, taking into account the features of wide data, allows horizontal and vertical scaling, including in the PostgreSQL open source database system. The methodology for the formation and the technology for filling the statistical database automatically from a large number of sources, the access mode to which is set by the system configuration parameters has been created. The technology has been developed for data migrations available in flexible formats, including text, in particular Excel. The implementation of the developed automated information system integration of industrial statistics allows you to select the necessary indicators for the analysis of economic processes in industry, use the statistical data collected in a single information space for 130 countries of the world (including Ukraine) for conducting scientific researches, building economic and mathematical models and making managerial