The impact of business intelligence system (BIS) on quality of strategic decision-making

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 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.

1. Introduction Business intelligence (BI) systems have recently emerged as a result of recent breakthroughs in MIS and technology (Gurcan, Ayaz, Menekse Dalveren, & Derawi, 2023). In order to allow consumers to act immediately on insights, BI works to collect data and translate it into trends and visuals (Orji et al., 2023). As a result, BI is seen as a unique class of information technology (IT) capabilities that are tied to a company's capacity to offer decision-makers high-quality information (Kulkarni, RoblesFlores, & Popovič, 2017). Organizations are urged to collect, comprehend, and use data to assist decision-making and enhance business operations because managers must have the appropriate information at the appropriate time and location (Khder & Abu-AlSondos, 2021). At the same time, there is continuous pressure from management to justify the contribution of BI. Any business could benefit from improved decision-making through the use of BI (Niu, Ying, Yang, Bao, & Sivaparthipan, 2021). Because it gives knowledge workers the chance to have real-time access to the information and analyze it effectively and intuitively, BI also offers the organization high-quality information that is essential in the decision-making process (AlOkaily, Teoh, & Al-Okaily, 2023). As stated in the study by (Arnott, Gao, Lizama, Meredith, & Song, 2019), there are usage.

2. Theoretical Framework 2.1 Business Intelligence (BI): Organizations must assume greater responsibility for the environmental impact of IT as a result of current IT developments (Al-Okaily et al., 2023) (Aquinas. In many organizations, managing the massive amounts of produced data and making it accessible to decision-makers and analysts at all organizational levels is the top priority of IT administrators. The requirement for management to establish a data-driven organization is the cause of this transition (Gaardboe, Nyvang, & Sandalgaard, 2017). Gaetner Group coined the name “business intelligence” in the middle of the 1990s, but the idea behind it dates back to the 1970s and systems for data reporting and management information systems (MIS) (Sharda, Delen, Turban, Aronson, & Liang, 2014). According to Delen et al. (2018) the primary goal of BI is to convert data into pertinent and meaningful information for businesses and decision-makers. such that they "do not need to rely on gut feelings, guesses, or experiences", which gives the decision-maker information. According to(Sharda et al., 2014), business intelligence (BI) is a stack that is used to enable gathering, analyzing, displaying, and disseminating business information (Alawadhi, Zowayed, Abdulla, Khder, & Ali, 2022; foud Ali, Zowayed, Showaiter, Khder, & Ali, 2022; Hassan, Aldoseri, Saeed, Khder, & Ali, 2022). For the I. A. Abu-AlSondos / International Journal of Data and Network Science 7 (2023) 1903 construction of the right technological infrastructure and the use of BI for organizationa 

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