VISUALIZATION OF BIG DATA IN AUTOMATED INFORMATION SYSTEMS

This article is devoted to the study of methods and tools for visualizing big data in the framework of automated information systems (AIS). The aim of the work is to identify the most effective visualization approaches that allow extracting valuable information from large amounts of data and making informed management decisions. The article discusses various visualization methods such as charts, graphs, maps, decision trees, and others. As a result of the research, key criteria for selecting visualization methods were identified depending on the type of data and the objectives of the analysis, and recommendations for integrating visualization tools into AIS were developed. The practical significance of the work lies in the possibility of applying the results obtained to increase the efficiency of big data analysis and improve the quality of decisions made in various fields of business and science.