In the era of digital transformation, the insurance industry is increasingly leveraging big data analytics to enhance customer segmentation practices. This project seeks to explore the role of big data analytics in insurance customer segmentation, focusing on its impact on marketing strategies, risk assessment, and customer experience. By delving into the implications of big data analytics for insurers and policyholders, this research aims to provide valuable insights into the evolving landscape of customer-centric strategies in the insurance sector.

The introduction of big data analytics in insurance customer segmentation has raised important questions about its ability to accurately identify customer needs, personalize marketing efforts, and improve risk assessment accuracy. This study will delve into the benefits and challenges of big data analytics in customer segmentation, shedding light on its capacity to revolutionize the insurance industry's approach to understanding and serving diverse customer segments. By doing so, the research aims to offer recommendations for insurers and data analytics practitioners to optimize the effectiveness and ethical use of big data analytics in customer segmentation, ensuring its responsible and customer-centric integration into insurance business practices.