Revolutionizing Insurance Data Modernization: Enhancing Property and Casualty Insurance with Cloud Solutions, Data Lakes, and Real-Time Reporting to Propel Advanced Analytics, Ensure Unified Governance and Compliance, and Foster Innovation and Experimenta

Authors

  • Pankaj Pant

Keywords:

Insurance Data Modernization, Cloud Migration, Advanced Analytics, Generative AI, Data Governance

Abstract

In the fast-evolving digital landscape of today, property and casualty (P&C) insurance companies must modernize their data ecosystems to stay competitive and innovative and to comply with regulations. This paper explores the migration from legacy on-premise data warehouses, such as Merlin and mainframe systems, which often result in a poor user experience, to a cloud-native architecture leveraging the Guidewire Insurance Suite. It highlights that by adopting solutions and building scalable data lakes for all the data, organizations can report in real time, run more efficiently, and leverage advanced analytics capabilities to drive innovation. Central to this modernization is Unified Governance, providing regulatory compliance while enabling effective use of data within a secure, consistent and auditable setting. This new data paradigm will also become even better with the integration of Generative AI (GenAI) accelerators, making decisions faster, automating processes in an unprecedented way and enabling low latency innovation. The paper provides a detailed roadmap for insurers attempting to future-proof their operations and provide next-gen digital experiences through an in-depth analysis of challenges, strategic migrations and architectural redesigns. It demonstrates technological advancement as well as a blueprint for organizations seeking to lead agile, cost-efficient, and smarter insurance ecosystems.

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Published

2025-05-29

How to Cite

Pankaj Pant. (2025). Revolutionizing Insurance Data Modernization: Enhancing Property and Casualty Insurance with Cloud Solutions, Data Lakes, and Real-Time Reporting to Propel Advanced Analytics, Ensure Unified Governance and Compliance, and Foster Innovation and Experimenta. Journal of Computational Analysis and Applications (JoCAAA), 34(5), 187–200. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2880

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Section

Articles