Data-Driven Testing: Unlocking Performance Improvements through Big Data Analytics in Banking

Authors- Kinil Doshi

Abstract- – This paper explores the transformative potential of Data-Driven Testing (DDT) and Big Data Analytics in the banking sector, emphasizing their crucial roles in enhancing performance and driving innovation. By harnessing vast data volumes, banks can optimize processes, enhance customer experiences, and bolster compliance with regulatory standards. The article delves into various applications and benefits of these technologies, such as improved decision-making through predictive analytics and increased operational efficiency. Challenges such as data privacy, security, and the need for robust technical infrastructure are also discussed. Through real-world success stories, the paper underscores the effectiveness of data-driven strategies in achieving competitive advantage and anticipates future trends in banking analytics.

DOI: /10.61463/ijset.vol.9.issue2.215