• Version
• Download 8
• File Size 204.87 KB
• File Count 1
• Create Date 19 May 2025
• Last Updated 19 May 2025

A SURVEY ON INTELLIGENT BUSINESS DASHBOARD WITH PREDICTIVE ANALYTICS

Authors:

Mr. Avinash *1, V. Jessica Vincent *2, Y. Surya  *3, G . Datha *4,

*¹Assistant Professor, CSE (AI & ML), ACE Engineering College, Hyderabad, India.

^*2,3,4Department CSE (AI & ML), ACE Engineering College, Hyderabad, India.

ABSTRACT:

With today's data-driven economy, companies increasingly depend on real-time analysis and predictive analytics to drive strategic business decisions. The project for the Intelligent Business Dashboard with Predictive Analytics seeks to develop an interactive, dynamic platform that aggregates important business measurements, displays real-time and past data in graphical form, and offers predictions to achieve improved efficiency in operations and future planning.

The dashboard combines data from various sources, providing intelligent visualizations in the form of interactive charts, graphs, and key performance indicators (KPIs). High-level machine learning models are embedded in the system to analyze past trends and predict future results, allowing proactive decision-making. Critical predictive capabilities include sales forecasting, customer behavior prediction, inventory optimization, and financial trend analysis.

The system focuses on usability through a beautiful and responsive design, making it accessible across devices. Security features are merged to protect confidential business data. Finally, this project enables organizations to transition from reactive to proactive management by converting complex datasets into usable information, promoting data-driven growth and competitiveness.