In article development of digital models of administrative, technological and logistic processes for the large industrial enterprises on the basis of formation of an ecosystem of virtual doubles (avatars) with application of the methods of industrial analytics (Big Data) allowing to transform the existing processes by criteria of chains of value added is considered. The novelty of the offered approach consists in development of the complete theory and practical mechanisms of transformation of

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... ministrative, technological and logistic processes at the level of the separate enterprises with use of the latest information technologies (processings of large volumes of information, foggy calculations, digital avatars, technologies a blockchain, etc.) that will provide cardinal change of business processes at the enterprises and technologies of preparation and decision-making. The cross-disciplinary character of the offered research has caused a problem of inclusion in a scientific turn of new sources, reconsiderations of development of a scientific thought, the principles and mechanisms and also regularities of economic development on micro, meso – macro – and megalevels of management. Within the further researches it is offered to develop mechanisms of realization and to support the initiatives of formation of pilot projects (testbet) for development of the concept of digital factory (plant) (clever factory, virtual factory) regarding interaction of technologies of digital design and modeling. Introduction of results of the offered research in practice of management will allow to provide the general growth of economic and innovative activity of the industrial enterprises, reduction of average duration of realization of life cycle of investment and innovative projects and also increase in their quality. The social importance of the planned results of the project consists in obtaining the accompanying social effects of their practical introduction which, first of all, consist in the predicted increase in level and quality of life of the population ofRussia.