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Research Paper | Information Technology | United States of America | Volume 12 Issue 1, January 2023 | Popularity: 4.2 / 10

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Multi-Cloud Data Resilience: Implementing Cross-Platform Data Strategies with Snowflake for P&C Insurance Operations

Sateesh Reddy Adavelli

Abstract: Property and Casualty (P&C) insurers are adopting multi-cloud environments as a strategic imperative because of their increasing data volumes and complexities in regulatory compliance, customer expectations and technological advancements. This paper discusses how Snowflake?s cloud-agnostic, unified platform enables insurers to create resilient, efficient, and compliant multi cloud data strategies. Using Snowflake?s elastic scalability, real-time analytics, secure data sharing and seamless cloud interoperability, insurers can optimize claims processing, augment fraud detection, and support customer engagement. The study offers core design principles for multi cloud data architectures and sheds light on problems in data fragmentation, latency, and security risks. It points to how Snowflake enables data resilience, including data replication, encryption, GDPR, and CCPA compliance. Details are provided. Practical implementation strategies of phased data migration ETL pipelines and integration with existing enterprise system to ensure a smooth deployment. Snowflake is seen as a clear win through a cost-benefit analysis with metrics like RTO and RPO that define how well Snowflake performs disaster recovery and business continuity. Additionally, the paper also looks at the emergence of tech like AI, blockchain and edge computing which could additionally bolster multi-cloud strategies even further. Finally, Snowflake enables the journey for P&C insurers through cloud ecosystem pitfalls, enabling operational resilience, regulatory compliance, along competitive advantage in a data-driven industry.

Keywords: Multi-cloud, Data resilience, Snowflake, P&C insurance, Claims processing

Edition: Volume 12 Issue 1, January 2023

Pages: 1387 - 1398

DOI: https://www.doi.org/10.21275/SR230115085206

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