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Enterprise AI Analytics Integration: SAP and Google Cloud Platform Convergence Framework

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  • Dheeraj Kumar Bansal

    (Birla Institute of Technology, Pilani, India)

Abstract

This article presents the convergence of SAP's application-embedded artificial intelligence capabilities with Google Cloud Platform's comprehensive cloud-native AI infrastructure, analyzing their combined impact on enterprise data analytics transformation. The article shows SAP's integrated AI framework across S/4HANA, SuccessFactors, and Analytics Cloud platforms, while exploring Google Cloud's machine learning ecosystem, including BigQuery, Vertex AI, and Looker's conversational analytics. Through a comprehensive analysis of the strategic partnership between SAP and Google Cloud, particularly focusing on SAP Datasphere integration, this research demonstrates how organizations can leverage unified data fabrics that combine transactional SAP data with external datasets to achieve enhanced operational intelligence, improved demand forecasting, and optimized inventory management. The article reveals that the synergistic relationship between SAP's contextual business process automation and GCP's scalable machine learning infrastructure creates transformative opportunities for enterprise-wide digital transformation initiatives. The article provides strategic recommendations for organizations seeking to maximize value from integrated AI-driven analytics solutions, emphasizing the importance of comprehensive data governance frameworks, phased implementation approaches, and organizational change management initiatives to ensure successful adoption and sustained competitive advantage.

Suggested Citation

  • Dheeraj Kumar Bansal, 2025. "Enterprise AI Analytics Integration: SAP and Google Cloud Platform Convergence Framework," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(6), pages 79-85, June.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:6:id:9942
    DOI: 10.32996/jcsts.2025.7.6.11
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