International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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From Descriptive to Predictive Intelligence: How Modern BI Tools Are Integrating Data Science for Real-Time Strategic Decision-Making

Author(s) Parnika Gupta
Country India
Abstract Business intelligence (BI) has traditionally functioned as a descriptive and diagnostic decision-support system, relying largely on structured and historical data to evaluate past organizational performance. However, increasing data volume, velocity, and variety, coupled with the demand for faster and forward-looking decisions, have revealed significant limitations in conventional BI architectures. This paper examines the evolution of business intelligence from hindsight-driven reporting systems to predictive and augmented intelligence platforms through the integration of data science techniques. Drawing exclusively on secondary literature published from 2015 onward, the study explores how machine learning, automation, real-time analytics, and augmented analytics are reshaping BI capabilities and organizational decision-making processes. A conceptual and comparative analysis is conducted between traditional BI systems and modern augmented analytics platforms, focusing on analytical depth, data processing architecture, user accessibility, and strategic value creation. The findings indicate that the convergence of BI and data science enables predictive foresight, reduces dependence on technical expertise, and supports real-time strategic decision-making. By narrowing the gap between data availability and actionable intelligence, modern BI systems evolve from retrospective reporting tools into proactive, enterprise-wide strategic assets. This study contributes to existing literature by clarifying the strategic role of data science in redefining business intelligence and enhancing organizational agility.
Keywords business intelligence, data science, predictive analytics, augmented analytics, real-time analytics, strategic decision-making, decision intelligence
Field Business Administration
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-01-30
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.66071
Short DOI https://doi.org/hbmv7k
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