ANALYSIS OF SUPERLARGE DATA SETS (BIG DATA) IN A SINGLE INFORMATION SPACE OF RESEARCH AND PRODUCTION ENTERPRISE

The article discusses a new approach to staff relationship management in research and production enterprise, based on an analysis of information about their activities in a single information space. In the context of the introduction of modern management systems of engineering data and product lifecycle, the executives of Research and Production Enterprise obtain a new source of data on the dynamics and effectiveness of staff interactions. As far as the large volumes of the data and their processing must be made in real time, this problem can be classified as extra-large control tasks datasets (Big Data). This article proposes a solution of this problem, which is to organize the distribution of tasks for the design and technological preparation of production on the basis of outsourcing. As a solution, the implementation of an iterative auction on the distribution of tasks was proposed. The implementation of this model will allow more precise planning work associated with the use of creative potential of employees.