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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 13, ISSUE 9, SEPTEMBER 2026

An Approach to Designing a Novel Cognitive Transformation BI Framework for Realtime Intelligence with Adaptive Feedback

Rahul Chandrayan

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Abstract: In today’s competitive business landscape, effective decision making become no more challenge and no need to relay on the experience and expertise if and only if you have the right data available at every stage of business cycle. BI framework proved to be an essential element for each and every decision-making in day-to-day business activities moreover BI framework enhance performance and provide quick, precise, and pertinent facts. Designing the BI framework become a significant challenge since it has a various objective to be fulfilled to make it sustain business dynamics and evolving markets and also due to large volumes of heterogeneous, dynamic, and distributed data Further the BI framework must integrate data from multiple sources, ensure data quality and security, support advanced analytics, and convert data into actionable insights for decision-making. Moreover, a BI framework needs to be flexible and scalable so that it can adapt to changing business requirements and technological environments.

Keywords: Business Intelligence, BI Framework, Decision Support System (DSS), Strategic Decision Making, Data Warehouse, Data Mart, OLAP, Data Governance, Explainable AI (XAI)

How to Cite:

[1] Rahul Chandrayan, “An Approach to Designing a Novel Cognitive Transformation BI Framework for Realtime Intelligence with Adaptive Feedback,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13915

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