Main problem: the globalization of the information sphere has led to a significant increase in the volume of stored and processed information. To increase the processing speed and provide information to the recipient, it is logical to increase the power of the equipment on which the information is processed. But such a path also leads to an increase in financial costs for continuous modernization or complete updating of computer equipment and application software. Purpose: an alternative solution to increasing the capacity of hardware and software may be to optimize the process of organizing data storage, and already at the stage of information analysis. At the initial stages of the task, a huge amount of information is collected and processed, which needs to be classified, to identify essential and non-essential information flows for the information system being developed, etc. The quality of functioning of the developed information system as a whole and its individual modules in particular will depend on how correctly and fully the structuring and systematization of data will be carried out. Methods: modern methodologies of conceptual design of information systems shift the emphasis from software implementation to analysis and modeling of the production environment. The tools used in the process of conceptual modeling allow you to automate the main part of the processes, including the development of program code in the format of templates (patterns), including the preparation of documentation for the software product being developed. Since modern methodologies and tools are based on the use of powerful graphical tools, this significantly increases the visibility and simplifies the process of making adjustments to the information system project, actually using the "Drag-and-Drop" technology. This allows you to redistribute the time spent on the implementation of the first stages of information system development, allocating more time to the analysis and design of the software environment at an abstract, conceptual level. Results and their significance: the stages of analysis and design do not require large financial costs and are more variable. Information at these stages is easier to adjust and change than, for example, at the stage of writing program code. In addition, it is at these stages that the most active interaction between the developer and the customer is carried out, where maximum visibility and variability of the project of the future information system is required. And the use of modern software design methodologies significantly increases the efficiency of the first stages of information system design.