BI-monitoring of Ekaterinburg industry on a digital platform

BI-мониторинг промышленности Екатеринбурга с использованием цифровой платформы

Akberdina, Viktoria (Акбердина, Виктория) ()
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Akberdina, Viktoria (Акбердина, Виктория): Institute of Economics of the Ural Branch of the Russian Academy of Sciences

Munitsipalitet: ekonomika i upravlenie / Municipality: Economics and Management, 2022, 41-52

Abstract: In recent years, the use of big data and intelligent data processing and visualization systems has become a modern trend in urban economic management. Many cities are actively introducing dashboards into the practice of municipal management and public control. The purpose of the article is to present the developed BI-monitoring system of Ekaterinburg industry using modern methods of data collection, processing and visualization hosted on a single digital platform RegScienceGRID. The author substantiates the prerequisites for creating interactive dashboards reflecting the development of industry in Ekaterinburg, discloses the requests of the main stakeholders of the BI-monitoring system of industry – the administration of the city of Ekaterinburg, large industrial companies, small manufacturing enterprises and scientific organizations of the city. The article presents the sources of open and closed information accessed by the digital platform, shows the modules of the dashboards of the BI-monitoring system, allowing to analyze the structural and temporal dynamics of industrial development, identify the features of the development of high-tech industry in Yekaterinburg, indicate the leaders of growth and decline, evaluate labor productivity in industry, the financial situation of enterprises, import and export potentials the industrial complex of the city. Based on the developed dashboards, the monitoring of industrial development trends in the city of Ekaterinburg was carried out, recommendations on promising market niches were given.

Keywords: BI-monitoring; industry; Ekaterinburg; million-plus city; RegScienceGRID digital platform (search for similar items in EconPapers)
Date: 2022
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