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Next-Generation BI Adoption: Strategies to Overcome Organizational and Technical Barriers

Next-Generation BI Adoption: Strategies to Overcome Organizational and Technical Barriers
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Author(s): Mohammad Alauthman (Department of Information Security, University of Petra, Amman, Jordan), Ala Hamarsheh (Computer Science, Faculty of Information Technology, Arab American University, Jenin, Palestine), Ahmad al-Qerem (Computer Science Department, Faculty of Information Technology, Zarqa University, Jordan), Mouhammd Alkasassbeh (Princess Sumaya University for Technology, Jordan), Amjad Aldweesh (College of Computing and Information Technology, Shaqra University, Saudi Arabia)and Wejdan Alhassun (Information Technology Department, College of Computing and Information Technology, Northern Border, Saudi Arabia)
Copyright: 2026
Pages: 26
Source title: Strategic AI Integration in Business Intelligence
Source Author(s)/Editor(s): Abdelraouf Ishtaiwi (University of Petra, Jordan), Ahmad Al-Qerem (Zarqa University, Jordan), Mohammad Al Khaldy (University of Petra, Jordan)and Mohammad Alauthman (University of Petra, Jordan)
DOI: 10.4018/979-8-3373-6801-6.ch004

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Abstract

Organizations aim to leverage data-driven insights to gain strategic advantages. Next-generation Business Intelligence (BI) systems offer interactive analysis and advanced capabilities, but many enterprises encounter challenges that undermine adoption. This chapter examines the organizational and technical barriers that arise when implementing cutting-edge BI, and it identifies strategies that promote user engagement and data-driven cultures. The findings suggest that consistent leadership support, robust data governance, and targeted training programs enable sustained usage. This chapter proposes an integrated framework that aligns emerging BI technologies with organizational readiness. The results encourage executives and practitioners to create environments that support self-service analytics and augmented decision-making. This chapter contributes practical guidelines that advance BI initiatives.

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