Secure Generative AI–Enabled Cloud Lakehouse for SAP Financial and Healthcare Analytics with Tableau-Driven Decisions
DOI:
https://doi.org/10.15680/IJMRSETM.2025.0103011Keywords:
Generative AI, Cloud Lakehouse, SAP Analytics, Financial Analytics, Healthcare Analytics, Data Security, Tableau, Decision Intelligence, HIPAA Compliance, SOX ComplianceAbstract
The increasing volume, velocity, and sensitivity of enterprise data in financial and healthcare domains demand advanced analytics architectures that are scalable, secure, and intelligent. Traditional SAP-centric data warehouses struggle to support real-time insights, unstructured data processing, and advanced artificial intelligence (AI) workloads. This paper proposes a Secure Generative AI–Enabled Cloud Lakehouse architecture integrated with SAP financial and healthcare data, enhanced by Tableau-driven decision intelligence. The architecture combines the flexibility of cloud data lakes with the governance and performance of data warehouses, while embedding generative AI for predictive, prescriptive, and narrative analytics. Security and compliance are enforced through encryption, role-based access control, data masking, and regulatory alignment with standards such as HIPAA and SOX. Tableau serves as the visualization and decision layer, enabling self-service analytics and AI-augmented insights for business and clinical stakeholders. Experimental evaluation and use-case analysis demonstrate improved query performance, enhanced data accessibility, reduced time-to-insight, and stronger governance compared to traditional architectures. The results confirm that the proposed approach effectively bridges SAP transactional systems, advanced analytics, and secure AI-driven decision-making in highly regulated industries.
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