Abstract
This article investigates banking analytics' trans formative role in enabling digital transformation and unlocking improved consumer insights. It digs into the major areas in which analytics will play an important role in the future of banking, such as personalized customer experiences, risk management, operational efficiency and data-driven decision-making. The article explains how analytics helps banks to obtain a comprehensive understanding of their customers' preferences, behaviours and demands, resulting in personalised experiences that boost customer happiness and loyalty. It emphasizes the significance of using analytics to assess risks in real time, detect developing threats and construct predictive models, allowing banks to manage credit risk, market risk, operational risk and compliance risk effectively. The article emphasises the importance of banking analytics in defining the industry's future. It emphasises analytics' transformative capacity in driving digital transformation projects, improving customer experiences, effectively managing risks and enabling data-driven decision-making. Banks should position themselves for success in the developing digital market by adopting analytics and leveraging data as a strategic asset to promote innovation, operational efficiency and long-term growth.
Keywords: Banking Analytics, Digital Transformation, Risk Management, Operational Efficiency and Data-driven Decision-making
References
Bany Mohammad, A., Al-Okaily, M., Al-Majali, M., & Masa’deh, R. E. (2022) “Business Intelligence and Analytics (BIA) Usage in the Banking Industry Sector: An Application of the TOE Framework”, Journal of Open Innovation: Technology, Market and Complexity, 8(4), 189.
Boobier, T. (2020) AI and the Future of Banking, New York: John Wiley & Sons.
Hung, J. L., He, W., & Shen, J. (2020) “Big data analytics for supply chain relationship in banking”, Industrial Marketing Management, 86, 144-153.
Law, K. S., & Chung, F. L. (2020) “Knowledge-driven decision analytics for commercial banking”, Journal of Management Analytics, 7(2), 209-230.
Shakya, S., & Smys, S. (2021) “Big data analytics for improved risk management and customer segregation in banking applications”, Journal of ISMAC, 3(3), 235-249.
Srivastava, U., & Gopalkrishnan, S. (2015) “Impact of big data analytics on banking sector: Learning for Indian banks”, Procedia Computer Science, 50, 643-652.