Transforming business intelligence systems: Using deep learning to drive financial innovation and exponential ROI growth

Tony, Nkechi Okereke and Attah, Dorcas U. (2025) Transforming business intelligence systems: Using deep learning to drive financial innovation and exponential ROI growth. World Journal of Advanced Research and Reviews, 25 (2). pp. 269-290. ISSN 2581-9615

The integration of deep learning with business intelligence (BI) systems is revolutionizing financial decision-making, unlocking new opportunities for exponential return on investment (ROI) growth. As financial markets and corporate ecosystems become increasingly data-driven, traditional analytical approaches struggle to extract meaningful insights from vast, complex datasets. Deep learning, a subset of artificial intelligence (AI), offers advanced pattern recognition, predictive modelling, and automation capabilities, enabling organizations to enhance financial innovation and strategic planning. At a broader level, deep learning enhances financial analytics by processing high-dimensional data in real time, improving risk assessment, fraud detection, and algorithmic trading. Through deep neural networks, businesses can leverage predictive analytics to anticipate market trends, optimize investment portfolios, and refine credit scoring models with unprecedented accuracy. These advancements facilitate smarter, data-driven decision-making, reducing financial uncertainty and increasing operational efficiency. Narrowing the focus, this paper explores how AI-driven deep learning transforms specific areas of financial intelligence, including customer segmentation, personalized financial services, and automated financial reporting. Case studies from banking, fintech, and asset management sectors illustrate the impact of deep learning in uncovering untapped financial opportunities and driving competitive advantage. Additionally, the research addresses challenges such as data privacy, computational costs, and the need for interpretability in deep learning models. By providing a comprehensive analysis of deep learning’s role in financial innovation, this paper offers actionable insights into optimizing BI systems for maximum ROI growth. The findings emphasize the importance of integrating AI-driven deep learning into financial strategies to foster sustainable growth and long-term success.