AI-Powered SAP Analytics For Enterprise Decision Intelligence In Large-Scale Cloud Computing Environments

This review article investigates the transformation of corporate strategy through AI-powered SAP analytics within large-scale, multi-cloud computing environments. As global organizations navigate the transition from traditional business intelligence to decision intelligence, the integration of artificial intelligence and machine learning becomes a prerequisite for managing the velocity and volume of modern enterprise data. The study analyzes the architectural foundations provided by the SAP Business Technology Platform and SAP HANA Cloud, emphasizing the role of a unified data fabric in bridging disparate cloud ecosystems without data replication. Central to the discussion are the augmented analytics capabilities of SAP Analytics Cloud including Search to Insight, Smart Predict, and the Joule copilot which democratize data science by automating pattern discovery and predictive modeling. The research highlights the shift toward Extended Planning and Analysis where integrated machine learning models for time-series forecasting and Monte Carlo simulations enable high-fidelity strategic planning. Furthermore, the article addresses critical implementation challenges such as data sovereignty, explainable AI, and the organizational talent gap. The paper concludes by projecting the future of the autonomous enterprise, where agentic AI and edge-to-cloud analytics create a self-optimizing decision environment that aligns real-time operational reality with long-term strategic objectives.