SAP Analytics Cloud - Transforming Business Intelligence with AI and ML

Komarina, Govindaraja Babu and Choppa, Narendra Kumar Reddy (2025) SAP Analytics Cloud - Transforming Business Intelligence with AI and ML. World Journal of Advanced Research and Reviews, 26 (2). pp. 3256-3262. ISSN 2581-9615

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Abstract

SAP Analytics Cloud (SAC) transforms business intelligence through integrated artificial intelligence and machine learning capabilities. As organizations face the challenge of extracting value from exponentially growing data volumes, SAC offers a unified platform that bridges the gap between raw information and actionable insights. The cloud-native architecture seamlessly integrates diverse analytical functions while reducing implementation complexity compared to traditional systems. Through advanced machine learning algorithms, natural language processing, and smart features, SAC democratizes access to sophisticated analytics for users across all technical backgrounds. The platform's in-memory processing technology enables exceptional performance for large datasets, while its scalable architecture adapts dynamically to changing workloads. Security and compliance frameworks provide enterprise-grade protection in multi-tenant environments. By examining the core architecture, technical capabilities, performance characteristics, and implementation strategies, this review demonstrates how SAC creates a self-improving analytical environment that enhances organizational intelligence through automated pattern discovery and predictive insights, ultimately delivering substantial competitive advantages in market responsiveness, operational efficiency, and strategic planning.

Item Type: Article
Official URL: https://doi.org/10.30574/wjarr.2025.26.2.1917
Uncontrolled Keywords: Cloud Analytics; Artificial Intelligence; Machine Learning; Business Intelligence; Predictive Analytics
Depositing User: Editor WJARR
Date Deposited: 20 Aug 2025 11:35
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3401