Systemtic Review Enhancing Business Intelligence through Data Science Integration in MIS Platforms

Abstract

This study systematically reviews the integration of data science into Management Information Systems (MIS) and its implications for enhancing business intelligence (BI). By synthesizing findings from 56 peer-reviewed studies, the research highlights the transformative potential of data science in augmenting MIS functionalities through predictive analytics, real-time processing, and unstructured data analysis. Key challenges, including data privacy, ethical considerations, and technical barriers, are discussed, alongside emerging opportunities presented by cloud-based platforms and blockchain technologies. The study emphasizes the variability in integration effectiveness across industries, advocating for tailored, context-specific strategies. This review provides a comprehensive understanding of the evolving landscape of MIS and data science, offering insights for researchers and practitioners seeking to leverage advanced analytics for strategic decision-making.