Analysis of dynamic complexity feature of information system data based on visualization

Abstract

The volume and complexity of the data in the information system continues to increase during the operation of the information system. The phenomenon leads to the fact that decision-makers are faced with data-rich and information-deficient situations. How to intuitively grasp the dynamic complexity of information system data has become a concern of scholars. Therefore, this paper collected and organized the system log data of two shipping companies, adopted multiple visualization forms, and combined the dynamic complexity measurement methods of information systems, focusing on the overall distribution status and development trend of the data dynamic complexity and internal information system and the influence of complexity of subsystems within the information system on overall data dynamic operation complexity, and then analyzed the overall feature of the dynamic complexity of information system data, and summarized the feature regulars of the complexity of the visualization method. The results show that the visual feature analysis of the dynamic complexity of information systems can improve the ability of enterprises to analyze and make decisions, and provide a basis for enterprise managers to develop corresponding management measures.