Hybrid information systems modeling technology for business process analysis based on the internet of things

Abstract

This article examines the impact of Internet of Things (IoT) data integration and hybrid information systems modeling on business process analysis. The study aims to confirm the assumption that such integration increases the accuracy and efficiency of the analysis.The review part emphasizes the importance of analyzing business processes for successful existence in a rapidly changing and competitive business environment. The main focus is on the use of IoT and modeling of information systems to improve the productivity of the organization.The methodological part describes the research approach: collection and analysis of empirical data in comparison with scientific literature. The integration of real-time IoT data with information systems modeling is the basis of the research approach.The results of the work confirm the initial assumption, revealing the significant impact of the integration of IoT data and modeling of information systems on the analysis of business processes. This allows organizations to achieve greater operational efficiency, optimize resources and make informed decisions.The practical value of the hybrid approach is emphasized for organizations wishing to improve the analysis of their business processes. Integration of IoT and modeling of information systems helps to optimize processes and increase overall productivity.The work confirms the importance and usefulness of using a hybrid approach in the analysis of business processes based on IoT, highlighting the advantages of integrating IoT data and modeling information systems. The hybrid approach has the potential to improve business processes and achieve success in today's competitive environment.