Development of Advanced Business Intelligence Systems Using Artificial Intelligence to Transform Large-Scale Data Into Strategic Insights

Authors

  • Ahmed Raza Author

Keywords:

Business Intelligence, Big Data Analytics, Strategic Insights, Artificial Intelligence, Decision Support

Abstract

The exponential growth of organizational data presents both opportunities and challenges for strategic decision-making. This research develops advanced business intelligence systems that harness artificial intelligence to transform large-scale, heterogeneous data into actionable strategic insights. Our proposed architecture combines big data processing frameworks with machine learning algorithms to enable real-time analytics, predictive modeling, and automated insight generation. The system incorporates natural language generation capabilities to translate complex analytical findings into executive-ready narratives. Evaluation across multiple enterprise deployments demonstrates a 47% reduction in time-to-insight and 34% improvement in forecast accuracy. The study advances the theoretical understanding of AI-enabled business intelligence and offers practical implementation guidance.

Author Biography

  • Ahmed Raza

    Department of Computer Science

References

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Published

17-03-2026

How to Cite

Development of Advanced Business Intelligence Systems Using Artificial Intelligence to Transform Large-Scale Data Into Strategic Insights. (2026). International Journal of AI, Engineering and Management Studies (IJAIEMS), 1(1), 20-26. https://essayjournals.in/index.php/home/article/view/IJAIESM-002

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