Abstract

This study investigates the adoption, application, and impact of Big Data Analytics (BDA) in the risk management frameworks of Nigerian financial institutions. Employing a mixed-method approach, the research explores organizational profiles, challenges, benefits, and strategic partnerships critical to integrating BDA. Regression analysis reveals the significant role of alliances and regulatory frameworks in overcoming adoption barriers. The findings align with previous studies, offering comparative insights and strengthening the understanding of BDA’s potential. Recommendations include targeted capacity-building programs, infrastructure investments, and policy enhancements to foster effective BDA integration. The study bridges the gap between theoretical potential and practical application in financial risk management, emphasizing the role of emerging technologies such as machine learning (ML), IoT, and blockchain.