Authors : Anandhan N.; K. Rajeswari

Volume/Issue : Volume 11 - 2026, Issue 3 - March

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Google Scholar : https://tinyurl.com/4cz5xayy

Scribd : https://tinyurl.com/3yu4fkx4

DOI : https://doi.org/10.38124/ijisrt/26mar1278

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Business Intelligence (BI) platforms play a critical role in transforming raw organizational data into meaningful insights. However, many existing solutions require technical expertise for dataset preparation, modeling, and visualization. This paper presents BI Analytics, a domain-aware analytics platform designed to simplify data processing and visualization for non-technical users. The system automates dataset analysis, classifies data into domain-specific workspaces, and enables dynamic dashboard generation. The proposed solution improves usability, reduces manual effort, and enhances decisionmaking efficiency. The system is implemented using a React-based frontend, Flask backend, and MongoDB database.

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