• Bharath Thandalam Rajasekaran
• Dr. Gaurav Raj

In today’s data-driven business environment, organizations face increasing challenges in managing massive, diverse datasets using traditional centralized architectures. These conventional systems, often characterized by data silos and limited scalability, hinder timely decision-making and operational efficiency. This study explores the emerging paradigm of data mesh, a decentralized approach that distributes data ownership across domain-specific teams, thereby treating data as a valuable product. By leveraging data mesh, organizations can enhance data accessibility, improve query performance, and enable agile business intelligence. Employing a mixed-methods approach, this research combines simulation experiments, case studies, and expert interviews to compare the performance of data mesh architectures with conventional systems. Key performance indicators such as query response time, system throughput, data availability, and operational uptime were analyzed. Results indicate that data mesh significantly reduces latency and increases throughput, while also promoting improved data governance and accountability. Moreover, the decentralized model facilitates better integration of advanced analytics and real-time processing capabilities, leading to more informed strategic decisions. Despite its promising benefits, the transition to data mesh requires careful planning to address challenges related to interoperability, security, and organizational change. The findings of this study offer actionable insights for enterprises seeking to modernize their data infrastructure, paving the way for enhanced business intelligence and competitive advantage. Future research should investigate the long-term impact of data mesh adoption and its integration with emerging technologies such as artificial intelligence and machine learning. These insights contribute to the evolving discourse on modern data infrastructures and inform best practices for future implementations globally.

Data Mesh, Decentralized Data Management, Data Accessibility, Business Intelligence, Real-Time Analytics

"Leveraging Data Mesh for Enhanced Data Accessibility and Business Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.i90-i99, February-2025, Available :http://www.jetir.org/papers/JETIR2502809.pdf

"Leveraging Data Mesh for Enhanced Data Accessibility and Business Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppi90-i99, February-2025, Available at : http://www.jetir.org/papers/JETIR2502809.pdf