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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41620
Volume:
9 |
2 |
Feb 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
We live in an era where data fuels everything—from business decisions and healthcare innovations to government policies and financial markets. Yet, a vast majority of professionals, the very people who need this data the most, struggle to access it because of technical barriers. Data isn’t just sitting there; it’s locked away behind SQL queries, complex BI dashboards, and intimidating APIs. This paper explores how we can break down these barriers and build truly user-friendly data access tools for non-technical users. We introduce a novel framework that combines AI-powered natural language queries, intelligent search recommendations, and interactive visualizations, making data as easy to explore as searching for something on Google. Through real-world usability tests, we found that task completion efficiency improved by 78%, while dependency on IT support decreased by 41%. By making data discovery intuitive, we’re not just helping businesses move faster—we’re enabling more people to make data-driven decisions without writing a single line of code.
KEYWORDS
Publication Date
2/17/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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