Predictive Analytics In Single-Industry Town Risk Management

Abstract

The relevance of using predictive analytics tools in the process of forecasting and analyzing risks in the field of solving problems of single-industry towns is due to the fact that the existing arsenal of identifying these threats does not always allow us to notice negative trends in time besides, no single-industry towns support programs were implemented during the period of 2016-2018 in the Russian Federation. The results of ranking the risks and development factors of territories of socio-economic development (TOSED) in single-industry towns are presented (on the example of the city of Yurga, Kemerovo region). The effectiveness of the use of predicative analytics in the risk management of TOSED of single-industry towns is substantiated. The types of classification, the possibility of their use in identifying threats to the development of a single-industry town are considered. The sources of data collection and accumulation of data for forecasting threats to the creation and development of TOSED in the single-industry towns of the Russian Federation are identified. Recommendations are offered to potential residents of TOSED and municipal authorities of single-industry towns with such status on forecasting the risks of creating and progress of TOSED. The obtained results contribute to the development of risk management, project management in the field of regional and municipal economies.