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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 11, NOVEMBER 2024

Enhancement of Predictive Analytics Using AI Models: A Framework for Real-Time Decision Support Systems

Abdul Khaleeq Mohammed, Neal Panda

DOI: 10.17148/IJARCCE.2024.131108

Abstract: Artificial Intelligence Models in Power BI have transformed predictive analytics work into a solid framework for real-time support in decision making. This type of approach utilizes AI-driven insights for predicting trends, taking risks, and gaining higher efficiency in operations. By merging the robust power of visualization by Power BI with the analytic power within, organizations transform complex datasets into actionable insights, therefore facilitating data-driven strategies. Therefore, the paper describes embedding AI models in Power BI, its advantages, and carries out a case study based on some sales data. The limitations of the current research, areas for further research, and recommendations for further development in the field.

Keywords: Artificial Intelligence, Power BI, Predictive Analytics, Data Visualization, Real-Time Decision Making, Machine Learning, Business Intelligence

How to Cite:

[1] Abdul Khaleeq Mohammed, Neal Panda, “Enhancement of Predictive Analytics Using AI Models: A Framework for Real-Time Decision Support Systems,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.131108