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Transforming Insurance Risk Management through Advanced Data Analytics

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  • Rakesh Maltumkar

Abstract

This comprehensive article explores the transformative impact of advanced data analytics on insurance risk management. The article examines how modern analytical approaches, including machine learning, natural language processing, and predictive modeling, are revolutionizing traditional insurance operations. The article investigates various technical implementations across fraud detection, claims processing, customer segmentation, and risk assessment. The article covers data integration challenges, real-time processing architectures, and scalability solutions while exploring the business impact of these technological advancements. The article also discusses emerging technologies and future developments in the insurance sector, including advanced AI integration, IoT applications, and smart infrastructure implementation, providing insights into how these innovations are reshaping the insurance industry's approach to risk management and customer service.

Suggested Citation

  • Rakesh Maltumkar, 2025. "Transforming Insurance Risk Management through Advanced Data Analytics," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 2311-2321, February.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:900
    DOI: 10.32628/CSEIT251112242
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112242
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