Citation :

Amol Bhatnagar, 2026. "Data Mesh Architecture for Insurance Domain" ESP International Journal of Artificial Intelligence & Data Science [IJAIDS]  Volume 2, Issue 2: 80-94.

Abstract :

This paper explores the evolution of enterprise data architecture through the introduction of Data Mesh, a decentralized approach that emphasizes domain ownership, interoperability, and product-oriented data management. In contrast to traditional centralized architectures, Data Mesh distributes responsibility for data across business domains, enabling scalable and context-aware data solutions.
The study provides a detailed comparison between Data Mesh and established architectural patterns such as the Medallion approach, highlighting key differences in governance models, scalability strategies, and data transformation philosophies. It further examines the practical application of Data Mesh within the insurance industry, a domain characterized by complex data structures, stringent regulatory requirements, and diverse operational processes.
Through this industry-focused analysis, the paper demonstrates how domain-aligned data products can improve data quality, enhance agility, and support advanced analytical capabilities. In addition, it outlines implementation considerations, including cross-domain integration, federated governance, and platform enablement. The paper concludes by discussing the broader implications of adopting distributed data architectures and their role in shaping the future of enterprise data management.

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Keywords :

Insurance Domain, Data Mesh, Architecture, Extract-Transform-Load, Data Product Units.