Date of Award

2025

Document Type

Thesis

Degree Name

MS in Science

Department

Business Analytics and Information Systems

First Advisor

Fang L Lu

Abstract

This study explores the role of advanced business analytics in shaping decision-making within the banking industry, focusing on its implementation, impact, and the challenges that financial institutions face. As banks increasingly embrace data-driven strategies to enhance competitiveness and customer service, analytics has emerged as a key enabler of operational efficiency and strategic foresight. However, despite its potential, banks often encounter obstacles such as legacy systems, data silos, regulatory constraints, and skill shortages that hinder full-scale integration. Adopting a mixed-methods research design, the study combines quantitative survey data from banking professionals with qualitative insights drawn from interviews and secondary data analysis of industry reports and case studies. This approach enables a comprehensive evaluation of how analytics influences decision-making, risk management, and innovation in the banking sector. Regression models are used to assess the measurable impact of analytics on decision-making speed and forecasting accuracy, while thematic analysis highlights implementation best practices and recurring barriers. Ethical considerations—such as confidentiality, informed consent, and compliance with data protection regulations—are rigorously maintained throughout the research process. Findings indicate that banks effectively leveraging analytics benefit from improved loan processing efficiency, enhanced fraud detection, personalized customer engagement, and more robust compliance reporting. Nonetheless, the success of analytics adoption is influenced by organizational culture, leadership support, and technological readiness. This study contributes to the understanding of analytics adoption in banking by offering actionable recommendations for financial institutions and policymakers. It also provides a foundation for future research aimed at examining long-term outcomes and emerging technologies such as AI, blockchain, and explainable analytics in the banking domain.

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