Abstract
Data structures and models play a crucial role in ensuring the efficiency and productivity of information systems. Different data structures are applied in various situations, so their comparative analysis is of great importance. Data structuring is an important process for the effective management and analysis of information. Modern information technologies, including databases and analytical tools, enable the automation of data collection, storage, and processing. The efficiency of data structures plays a vital role in optimizing the operation of information systems and the proper organization of data. This article examines the analysis of data structuring indicators based on the application of information technologies. The research demonstrates the importance of information technologies in data structuring and offers recommendations for their further use. The research results demonstrate that when choosing methods and models for structuring data, it is necessary to consider the specific requirements of the system and the characteristics of the data. Furthermore, a proper understanding of the limitations and advantages of each model enables effective data management and processing.