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In the banking sector, the adoption of business intelligence and analytics (BIA) may be influenced by a number of factors, and the objective of this study is to analyze those factors.When it comes to the acceptance and exploitation of business intelligence and analytics in the banking industry, a theoretical model was developed in order to explore the impact of three important factors.Technology, organizational and environmental factors are the components that make up these components.The model was developed based on a complete evaluation of the relevant scientific literature.The research used SPSS to examine data collected from a small sample of Jordan Arab Bank workers.The results showed that data and technology infrastructure had a major influence, but they also showed that management and human resources were crucial, and that their availability and help were crucial.In order to reap the full benefits of business intelligence and analytics, this study contends that successful planning should extend beyond the technological components. The focus is on the banking industry. This holds particular importance. According to the study's findings, the TOE features significantly impact BIA utilization, implying that they are crucial in deciding how BIA is used. Researchers have found that workers' level of experience moderates the relationships between BIA and several organizational and technological factors. Still, it didn't change the connections between environmental factors and BIA use in commercial banks in any way. These results highlight the critical need for Jordanian financial institutions to optimize their use of business intelligence analysis (BIA) by adopting a comprehensive strategy that incorporates cutting -edge technological solutions, a positive organizational culture, and the ability to adapt to external factors. For financial institutions who are looking to improve their utilization of business intelligence analysis (BIA) and make decisions based on data in the ever -changing banking market, this study offers numerous valuable insights.
Pranay Mungara (Wed,) studied this question.