DEVELOPMENT OF THE ARCHITECTURE OF AN INTELLIGENT DECISION SUPPORT SYSTEM FOR STATE-OWNED COMPANIES BASED ON THE INTEGRATION OF PREDICTIVE MODELS AND BIG DATA ANALYTICS

Mishin Denis Alexandrovich, Kurovsky Stanislav Valerievich, Trunkin Andrey Nikolaevich

This article highlights the relevance of automating data analysis and forecasting in large organizational and technical systems of state-owned companies. It addresses the scientific and technical challenge of designing the architecture of a software and analytical complex—an intelligent decision support system for state-owned companies based on the integration of predictive models and Big Data Analytics. It also examines the systemic integration of machine learning methods and big data processing platforms for automating predictive and analytical functions in state-level organizational and technical systems.

Keywords:intelligent system architecture; government agencies; decision support system; predictive model integration; big data analysis methods; automation of functions; forecasting