Exploring Regional Innovation Systems through a Convergent Platform for Big Data

摘要

The article deals with the creation of an information and analytical platform for the collection and processing of Big Data in order to study the processes of innovation development of economic agents in the regions on the basis of the convergent approach. The platform is intended for modular integration of tools for searching, collecting, processing and downloading data for the intellectual analysis of enterprises’ innovative activities. The results of the intellectual analysis are used to evaluate and predict the dynamics of integral criteria for regions’ development, to identify innovative leaders, for benchmarking analysis of economic agents and leaders, to synthesize strategies for managing innovative development and to develop recommendations for improving the efficiency of enterprises’ innovative activities. The work analyzes convergent and hyperconvergent systems and substantiates the necessity of creating a convergent platform for Big Data collection and analytical processing. The article proposes the principles of streaming architecture for the data integration system to resolve the problems of searching, parallel processing and uploading of information into a cloud storage and a distributed register. The paper also considers the main components of the convergent information-analytical platform.