Development of an information system for monitoring the process of achieving strategic goals

Abstract

The automation of the process of identifying deviations and controlling key indicators is an important step in planning and implementing corrective and preventive actions to ensure the stability of the process of achieving strategic goals. The analysis of detected deviations is a multi-step procedure aimed at studying interrelated random events and processes within the considered class of complex dynamic systems (CDS). The reliability of deviation identification depends on the methods of their detection, observation methods, formalized representation of parameters, etc. In today's dynamic business environment, the ability to systematically track progress toward strategic objectives is a key factor for sustainable growth and effective decision-making. The research analyzes existing methodologies for strategic planning, performance management, and monitoring systems, with particular emphasis on the Balanced Scorecard approach and key performance indicators (KPIs). Based on the identified requirements, a conceptual model of the monitoring system has been developed, including data collection, processing, visualization, and analysis modules. The system architecture is designed to ensure flexibility, scalability, and integration with existing corporate information systems. Special attention is paid to data security, user accessibility, and ethical aspects of information processing. The developed system allows management to receive timely, objective, and comprehensive information about the state of goal achievement, quickly identify deviations, and make informed managerial decisions. The results of the study can be applied in various industries to improve the efficiency of strategic management processes.