Stevens Institute of Technology - Alumni, USA.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2950–2959
Article DOI: 10.30574/wjaets.2025.15.2.0882
Received on 20 April 2025; revised on 27 May 2025; accepted on 30 May 2025
This article explores the architecture, implementation strategies, and organizational impacts of centralized data platforms with multi-tenant capabilities. It addresses the challenges of enterprise data management, including data silos, legacy systems, and standardization issues, while examining the benefits of centralized approaches. The article explores data isolation strategies, role-based access control mechanisms, and security considerations for shared infrastructure. It also explores self-service analytics approaches that democratize data access for non-technical users through intuitive interfaces and machine learning-driven recommendations, balanced with appropriate governance frameworks. The article further examines cross-domain data integration methods, metadata management approaches, and processing considerations, alongside visualization techniques for integrated multi-domain analytics. Through case studies across diverse industry verticals, the article provides insights into implementation outcomes, evaluation metrics, and emerging trends that shape the future of centralized data platforms.
Multi-Tenant Architecture; Data Democratization; Cross-Domain Integration; Self-Service Analytics; Enterprise Data Management
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Swapnil Narlawar. Unified enterprise insights: A multi-tenant data platform architecture for self-service analytics and cross-domain visualization. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2950–2959. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0882.