Big data visualization in economic sciences in the information society
The article is devoted to visualization as a method of comprehending and communicating economic information extracted from big data in the perspective of searching for new directions in the development of economic and business sciences in the information society, when computer science has come to the fore. The concept of information visualization in relation to business sciences is clarified. The place of visualization in communication between people, as well as man and machine, is considered. Special attention is paid to abstraction by visualizing information extracted from big data for the study of complex economic systems, as well as presenting conclusions for decision makers. The problem of compensation for data loss when using software tools for information extraction and the role of disciplinary knowledge of economic sciences in its solution are discussed. The conclusions contained in the article are illustrated by the example of graphs as the most effective form of visual representation of complex economic systems. In particular, the process of comprehending economic reality by moving from a three-dimensional graph depicting a real object to a two-dimensional graph reflecting an ideal construct is considered.