The evolution of cloud-native data platforms for insurance analytics: A Technical Review

Malipeddi, Abhinay Reddy (2025) The evolution of cloud-native data platforms for insurance analytics: A Technical Review. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1595-1603. ISSN 2582-8266

Cloud-native data platforms are revolutionizing the insurance industry by transforming how insurers capture, process, and derive actionable insights from their vast data repositories. As traditional data management approaches prove inadequate for handling the scale and complexity of modern analytics, these platforms offer the agility, scalability, and processing power needed for competitive advantage. The architectural foundations of these systems—microservices, containerization, serverless computing, and event-driven processing—provide insurers with unprecedented flexibility and efficiency. Modern data management infrastructure, including cloud-based data lakes, purpose-built warehouses, and sophisticated integration pipelines, enables comprehensive analytics across the insurance value chain. These technologies power critical applications such as real-time underwriting, advanced fraud detection, and automated regulatory compliance. The resulting operational efficiencies manifest through reduced infrastructure costs, improved system reliability, and faster innovation cycles. Enhanced customer experiences emerge through personalized interactions, expedited claims processing, and tailored product offerings. Future innovations in edge computing, blockchain, and artificial intelligence promise to further transform the industry landscape.