1 SAP Data & Analytics Architect, Yash Technologies Inc, USA.
2 Sr. IT Solutions Analyst, The Mosaic Company, USA.
World Journal of Advanced Research and Reviews, 2025, 26(02), 3256-3262
Article DOI: 10.30574/wjarr.2025.26.2.1917
Received on 07 April 2025; revised on 18 May 2025; accepted on 20 May 2025
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.
Cloud Analytics; Artificial Intelligence; Machine Learning; Business Intelligence; Predictive Analytics
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Govindaraja Babu Komarina and Narendra Kumar Reddy Choppa. SAP Analytics Cloud - Transforming Business Intelligence with AI and ML. World Journal of Advanced Research and Reviews, 2025, 26(2), 3256-3262. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1917