AI-POWERED BUSINESS INTELLIGENCE: A SYSTEMATIC LITERATURE REVIEW ON THE FUTURE OF DECISION-MAKING IN ENTERPRISES

Abstract

Artificial intelligence (AI) has become a transformative force in business intelligence (BI), reshaping how organizations collect, process, analyze, and visualize data for strategic decision-making. This systematic literature review examines the integration of AI in BI, focusing on automation, predictive analytics, decision support systems, data visualization, and robotic process automation (RPA). Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this study reviewed a total of 120 high-quality research articles from reputable academic databases, providing a comprehensive analysis of AI-powered BI advancements. The findings reveal that AI-driven automation has reduced manual data processing by 70%, while predictive analytics has improved forecasting accuracy by 35% to 50%, significantly enhancing risk mitigation and strategic decision-making. Additionally, AI-powered decision support systems (DSS) have increased managerial efficiency by 50%, improving response times and reducing strategic errors by 30%. AI-enhanced data visualization tools have further optimized real-time data accessibility, reducing processing time by 55% and increasing collaborative decision-making by 35%. Moreover, the implementation of AI-driven RPA has minimized manual errors by 80%, reduced data processing costs by 35%, and accelerated workflow efficiency by 60%, making AI adoption a critical factor in modern business intelligence. Compared to earlier studies, these findings suggest that AI-powered BI has evolved from theoretical applications to fully integrated solutions that enhance operational efficiency and decision-making accuracy across industries. This study contributes to the growing body of knowledge on AI-driven BI and highlights the need for further research on ethical considerations, transparency, and governance to ensure responsible AI deployment in enterprise decision-making.