STRUCTURE AND INFORMATION AND LOGICAL SCHEME OF THE ECONOMIC TIME SERIES FORECASTING SYSTEM “SGM HORIZON”
The current conditions of economic development are unstable. This is due to many factors that have a significant impact on the economic development of countries. Among the main factors, we can highlight the spread of Covid-19, which caused a sharp decline in the main economic indicators. In this regard, there is a requirement of agility to existing systems and predictive modules. This paper examines the main problems of modern forecasting. An overview of the main existing information and analytical forecasting systems that are presented on the ICT market is provided, and their main disadvantages are identified. The article describes the architecture of the “SGM Horizon” system, which implements a predictive ensemble of models based on a hybrid approach. The model presents more than 175 indicators that characterize the Russian economy. This system allows for dynamic forecasting due to the scalability and flexibility of the system, as well as support for transfer learning technology.