Abstract

The insurance sector is increasingly challenged by complex regulatory frameworks, data privacy concerns, and operational risk management requirements. Effective data governance is critical to ensuring compliance, mitigating risk, and maintaining organizational integrity. This study develops a data governance model tailored to the insurance sector, integrating policy, process, and technological controls to enhance regulatory adherence. Through systematic literature review, analysis of industry case studies, and synthesis of best practices, the study identifies key governance components, including data stewardship, quality assurance, access controls, and audit mechanisms. The proposed model provides a conceptual framework for aligning data governance with regulatory compliance objectives, offering both theoretical insights and practical guidance for insurers.