Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/1710 2018 2018 Al-Turath University College, Baghdad, 10021, Iraq Saif Saad Ahmed Department of Computer Techniques Engineering, Al-Rafidain University College, Baghdad 10064, Iraq Anwar Ja’afar M. Jawad Department of Computer Techniques Engineering, Mazaya University College, Thi Qar, Iraq Shorook K. Abd Department of Medical instruments engineering techniques, Alfarahidi University, Baghdad, Iraq Aymen Mohammed Business Administration Department, Al- Mustaqbal University College51001 Hillah, Babylon, Iraq Amjed Hameed Majeed Because of the proliferation of digital technologies, organizations now have access to previously unimaginable troves of data. In order to make educated choices and generate beneficial results, accurate data analysis and interpretation are essential. The use of data visualization in this context has proven its value. Recent studies found that data visualization increased business owners' drive to make a profit. To aid business owners in evaluating issues related to self-service data resources, a dynamic IoT-based enterprise management framework (IEMF-IDM) was presented. The suggested system uses fusion optimization techniques to maximize the fusion score and enhance decision-making through the use of various models and methods, such as machine learning and fuzzy approaches. Simulation studies in a number of domains, including robots, cloud settings, and multimedia data fusion, attest to the system's efficacy. 2023 2023 08 20 10.54216/FPA.110201 https://www.americaspg.com/articleinfo/3/show/1710