In the current pharmaceutical context of Jordan, the significance of Business Intelligence (BI) has emerged as a crucial factor in designing efficient planning methods. This research investigates the transformative impact of business intelligence (BI) in four key domains: drug development enhancement, operational optimization, compliance assurance, and market dynamics comprehension. The research highlights the need to utilize a data-driven methodology to emphasize the value of business intelligence (BI) tools in extracting valuable insights, facilitating strategic decision-making, and promoting operational efficiency. The results indicate that pharmaceutical organizations that utilize business intelligence (BI) can uncover concealed patterns, recognize chances for growth, and make well-informed decisions. Additionally, the capacity of business intelligence (BI) to integrate novel data has accelerated the development of resilient technical frameworks, thereby reinforcing its essential position within the pharmaceutical sector in Jordan. This research serves as evidence of the potential of business intelligence (BI) in facilitating innovation, surmounting obstacles, and eventually improving patient outcomes.

This study aims to investigate the impact of Business Intelligence Systems (BIS) on the quality of strategic decision-making in top-level management. The independent variables in this study are Data Quality, Data Visualization, and BI Management, while the dependent variable is the Quality of Strategic Decision-Making. Additionally, the study explores the moderator variable, BI Scope, to further understand the relationship between BIS and the quality of strategic decision-making. By providing valuable insights into the relationship between BIS and the quality of strategic decision-making, this study contributes to the existing body of knowledge on business intelligence and strategic decision-making. The findings show that BI Management, BI Scope, Data Quality, and Data Visualization have substantial and favorable correlations with the quality of strategic decision-making. Effective BI Management techniques contribute to higher decision-making quality, emphasizing the necessity of BI resource management. The study also underlines the importance of BI Scope as a moderator variable, demonstrating its impact on the connection between BI and quality of decision-making. In addition, the research shows that Data Quality and Data Visualization have a considerable influence on strategic decision-making quality. Using effective visualization tools and ensuring high-quality data improves the results of decision-making processes. The interaction impact between BI Scope and Data Quality, on the other hand, was determined to be non-significant.