Big Data Analytics in Banking Industry

Abstract

The banking industry is experiencing a profound transformation with the integration of Big Data Analytics (BDA), which enhances decision-making, risk management, fraud detection, and customer experience. This research explores how BDA impacts operational efficiency and competitive advantage in banking, examining techniques like machine learning, artificial intelligence, and predictive modeling to uncover valuable insights into customer behavior and market trends. It also discusses challenges related to data security, privacy, and regulatory compliance. The findings suggest that BDA can drive innovation, reduce costs, and improve financial services, while emphasizing the importance of data governance and ethical considerations to ensure the responsible use of data. Through case studies and empirical analysis, the paper demonstrates how BDA can improve profitability, mitigate risks, and foster innovation, ultimately offering recommendations for banks to adopt effective strategies while addressing security and ethical issues.