ЦИФРОВЫЕ ТРЕНДЫ В АНАЛИЗЕ ДАННЫХ И МЯГКИХ ИЗМЕРЕНИЯХ КАК КОНЦЕПТУАЛЬНАЯ ОСНОВА РАЗВИТИЯ ПРИКЛАДНЫХ НАУК

Abstract

The relevance of the topic is due to the fact that today the digital economy determines that the market leaders are determined not by a longterm success story, not by the value of real estate and assets, not by the number of patents or access to capital, but by the ability to change and adapt their business to new conditions. Digital technologies, which have emerged over the past decade, help to find sources of increased efficiency and opportunities for rapid competitive development of enterprises. At the same time, they demand to change the existing management models, reformat communications, technologies and the organizational structure of enterprises based on new values, priorities and guidelines based on partnership, customer focus, innovation and synergy. Today's global manufacturing landscape is changing rapidly. The current technological development and the development of big data allow managers to better understand their activities. Big data provides companies with huge opportunities to improve their performance. Industry 4.0 and the Internet make it possible to create intelligent factories where machines and networks are able to exchange and respond to information, as well as independently manage the production process. Recently, the Russian Government has been advocating a new production concept, namely redistributed production, which uses a number of new technologies, such as 3D printing, additive manufacturing, and big data, to provide numerous advantages over existing systems. As such, businesses will need to adapt to changing data usage patterns to operate effectively in the growing digital age.