This research examines the key determinants influencing the utilization of Big Data Analytics (BDA) systems, focusing on data quality, organizational support, and user satisfaction. A total of 236 BDA system users from various industries participated in the survey, and the collected data were analyzed using the PLS-SEM technique. The results reveal that data integrity and timeliness play a critical role in shaping data connectivity within BDA systems, which in turn influences user satisfaction alongside the relational expertise of IT staff. Moreover, the analysis demonstrates that while user satisfaction positively impacts BDA system use, data connectivity does not exhibit a significant effect. These findings suggest that users’ experiences substantially affect business professionals’ intentions to utilize BDA systems, whereas data connectivity alone does not. Drawing on these empirical insights, the study contributes theoretical and practical perspectives for enhancing the effective implementation and success of BDA systems.
