The information and analytical platform for the big data mining about innovation in the region

Abstract

The article describes an information and analytical platform for collecting and processing big data for the study of innovative development processes of the constituent entities of the Russian Federation. The toolkit of the platform solves the problem of searching, collecting, processing and downloading data from the Internet for the analysis and prognostic modeling of innovation indicators of economic agents in the region. The results are used to assess the dynamics of changes in the innovative development of enterprises and the region as a whole. The objectives of the research are to select leaders who actively develop and implement innovations, benchmarking analysis of regional enterprises with leaders, develop recommendations for managing innovative development mechanisms, and increase the efficiency of innovative activities of enterprises in the region. It is proposed to create a set of tools for analytic processing of big data in the form of a convergent platform with horizontal scaling. To perform the procedures of loading large data into the cloud storage, the streaming architecture of the data search and integration subsystem is implemented with the possibility of parallel preprocessing of information. The components of the information and analytical platform have been developed and implemented.