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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM55959
Volume:
10 |
1 |
Jan 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper presents a comparative analysis of artificial intelligence (AI) capabilities integrated into two leading business intelligence (BI) tools — Microsoft Power BI and Tableau. As the evolution of BI tools moves beyond visualization toward automated analytics and predictive modeling, AI has emerged as a transformative force in data-driven decision-making. The study evaluates AI-assisted features, performance efficiency, integration scope, and business usability of Power BI and Tableau. Findings indicate that Power BI demonstrates superior integration with Microsoft’s Azure ecosystem and automated insights, while Tableau excels in intuitive exploration and contextual explanations through Explain Data and Ask Data functionalities. The paper concludes with strategic implications for organizations selecting AI-augmented BI platforms.
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Publication Date
9/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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