MODELING THE INFORMATION AND ANALYTICAL ENVIRONMENT FOR MANAGING ENTERPRISE BUSINESS PROCESSES

This article presents a conceptual model of an information-analytical environment aimed at enhancing the management of business processes within an enterprise. The research examines current approaches to business process management and information support, identifying their limitations in terms of integration, adaptability, and analytical capabilities. Based on this analysis, key requirements for an effective environment are defined, including data consolidation, analytical functionality, user interaction, and system security. The proposed methodology incorporates modern modeling tools such as BPMN, UML, and Data Flow diagrams to ensure structural clarity and scalability. A conditional case study illustrates the implementation of the model in a production-oriented enterprise, emphasizing improvements in process transparency, decision-making quality, and operational responsiveness. The article outlines the benefits of the approach compared to traditional systems and highlights directions for future development, including the use of intelligent technologies and adaptive system components.