Development of a basic method for strategic planning of cloud migration of an information system

The object of the study is Process Mining tools in the context of strategic planning of cloud migration of information systems of modern enterprises within the framework of digital transformation. It has been established that the automatic reproduction of the business process model based on event logs allows you to identify the real course of operations and identify bottlenecks that worsen the efficiency of the system's processes, as well as to get an objective picture of the actual routes of the processes. Thanks to this, it becomes possible to identify potential deviations from established regulations, which helps specialists to determine which processes need to be reviewed and optimized and minimize the negative impact of bottlenecks on productivity. The importance of conducting a comparative analysis of the obtained models with formalized standards of work is described, which makes it possible to identify critical points in organizational processes. Based on the results of such an analysis, the need to adapt the process model to the requirements of the cloud environment is substantiated, because the updated model directly affects the IS architecture. Adjusting the logic of interaction between the components of the information system and subsystems ensures the appropriate level of scalability, fault tolerance and performance when working in the cloud. A general method of integrating the results of Process Mining into the strategic planning of cloud migration is proposed, covering the sequential stages of collecting data from event logs, building and analyzing the initial model, as well as the formation of an advanced process model that reflects new requirements and identified patterns. A sequence of mappings has been developed that allow describing the relationship between the compatibility assessment of the current state and the improved version of the model and the key characteristics of cloud computing. The implementation of these mappings allows developing a prioritized set of business processes for the transition and choosing the optimal migration strategy (Rehosting, Refactoring or Reengineering). The practical value of the results obtained lies in increasing the efficiency of decision-making on the sequence and methods of transferring information systems to the cloud, as well as in minimizing operational risks and reducing the cost of reorganizing obsolete IS. In addition, the proposed method contributes to the reasonable determination of the appropriate stages of system upgrade, which is extremely important for maintaining the proper quality of services and meeting the growing needs of business in a dynamic technological environment.