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Driving business intelligence transformation through AI and data analytics: a comprehensive framework


Citation

Perumal, Thinagaran and Chetlapalli, Himabindu (2024) Driving business intelligence transformation through AI and data analytics: a comprehensive framework. Internationa Journal of Information Technology and Computer Engineering, 12 (1). pp. 696-706. ISSN 2347-3657

Abstract

The integration of data analytics and artificial intelligence (AI) is causing a significant shift in the transformation of business intelligence (BI). With an emphasis on utilising AI and data analytics to propel corporate success, this paper offers a thorough framework intended to assist organisations through this transition. Crucial components covered by the framework include data gathering, modelling, preprocessing, analysis, and visualisation. It also draws attention to the difficulties that businesses encounter, such as those related to hiring qualified staff, ethical dilemmas, and regulatory compliance. This study intends to give firms concrete solutions to improve decision-making, optimise business intelligence (BI) operations, and achieve a competitive edge in a data-driven world. It does this by synthesising insights from expert consultations, empirical research, and literature.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Nisaab Publishers
Keywords: Business intelligence (BI); Artificial intelligence (AI); Data analytics; BI transformation; Data quality
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 02 Sep 2025 04:04
Last Modified: 02 Sep 2025 04:04
URI: http://psasir.upm.edu.my/id/eprint/119644
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