Augmented Business Intelligence: A Multi-Criteria Approach

Research Area: Decision sciences Authors
Yasser HARAKAY* Mohamed EL KHALDI
Faculty of Administrative Sciences and Economics ISPAHAN IRAN

Abstract
This study examines Augmented Business Intelligence (A-BI) solutions that incorporate advanced simulation and predictive analytics to improve decision-making processes. We highlight the limitations of conventional BI infrastructures focused on data warehousing in forecasting and scenario modeling. We offer a multi-criteria evaluation methodology utilizing the Analytic Hierarchy Process (AHP) to evaluate A-BI solutions based on essential criteria: what-if scenarios, forecasting, and machine learning capabilities. Our analysis designates SAP Analytics Cloud as the most efficient solution for adding simulation features. This study presents a systematic approach for choosing BI systems that correspond with contemporary corporate requirements for agility, interaction, and strategic insight.

Keywords
Augmented Business intelligence; Artificial intelligence; Digitalization; Data analytics; Process analytics; Machine learning; Simualtion; Deep learning;

Doi : https://doi.org/10.5281/zenodo.15858813

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Cite
HARAKAY, Y., & EL KHALDI, M. (2025). Augmented Business Intelligence: A Multi-Criteria Approach. International Journal of Science, Applications and Prosperity, 3(1), 38‑48.

Licence
Creative Commons Attribution Share Alike 4.0 International

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