IAS development for industrial economic forecasting

The ability to forecast trends for the future period has always been in demand in commercial and public enterprises. Based on forecasting, effective management decisions are made that contribute to the improvement of the enterprise and the country's economy. Such calculations require a tool capable of making a high-quality calculation and analysis taking into account the volatile behavior of the market. To implement this system, it is necessary to consider macroeconomic indicators, industrial production indicators, and the right choice of software architecture. The purpose of the study is to analyze the software architecture and create an information and analytical system. Research methods – comparative analysis of software architecture and statistical classification. Results. Within the framework of this work, software architectures are analyzed to solve the problem of forecasting the economic indicators of the Russian Federation based on the author's architecture assessment method. A comparative analysis table is compiled, the use of which the optimal architecture suitable for the problem is defined. The paper reveals the significance of the study, sets goals and objectives. The information-analytical forecasting system has been advanced and the system development grounded on the chosen architecture is presented. IAS operation is demonstrated, initial calculations by forecasting methods are made, and conclusions are drawn on the basis of the results. Each task was accomplished.