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Data Mesh Architecture for Scalable Business Intelligence Systems

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  • Ratna Vineel Prem Kumar Bodapati

    (University of Houston, Clearlake, USA)

Abstract

Data mesh architecture represents a transformative paradigm shift for scalable business intelligence systems, addressing fundamental limitations of traditional centralized approaches. By decentralizing data ownership around business domains, treating data as products with defined interfaces, establishing self-service infrastructure, and implementing federated governance, organizations can overcome bottlenecks that impede analytical agility. The architecture enables cross-functional teams to collaborate effectively while maintaining enterprise-wide consistency, resulting in accelerated insights, improved stakeholder satisfaction, and enhanced system reliability. Through domain-oriented structures, organizations scale analytical capabilities without corresponding increases in coordination overhead, while comprehensive measurement frameworks quantify improvements across technical performance, workflow efficiency, and organizational transformation dimensions.

Suggested Citation

  • Ratna Vineel Prem Kumar Bodapati, 2025. "Data Mesh Architecture for Scalable Business Intelligence Systems," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(5), pages 770-777, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:5:id:9878
    DOI: 10.32996/jcsts.2025.7.5.86
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