AI Powered Smart Data Analytics System

Abstract

An AI-powered smart data analytics system was developed to address the critical challenge of extracting meaningful insights from large volumes of organizational data. Traditional analytics platforms require technical expertise, including SQL proficiency and manual data preprocessing, which creates barriers for business users. The proposed system introduces two key capabilities: intelligent query processing and voice-enabled interaction. The platform supports multi-source data ingestion, including CSV, Excel, MySQL, PostgreSQL, Google Sheets, and cloud services such as OneDrive and SharePoint. It also provides automated data visualization, intelligent data transformation, and both manual and automated dashboard creation. Users can interact with the system through simple English queries or voice commands, eliminating the need for writing SQL queries. The system also implements strict user-level data isolation to ensure enterprise-grade security. Performance evaluation shows that the system delivers fast query responses for typical datasets and can scale to support thousands of concurrent users. This research improves business intelligence accessibility by enabling non-technical users to independently extract insights, reducing dependence on IT teams and accelerating decision-making processes.