Real-Time Business Intelligence System for E-Commerce Customer Behavior Analysis

This project focuses on developing a real-time Business Intelligence system that analyzes customer behavior in e-commerce platforms. The system will monitor transactions, browsing patterns, and purchasing trends to generate actionable insights for marketing strategies, inventory planning, and customer retention improvement.

Gather e-commerce transaction and customer interaction datasets.

Perform ETL (Extract, Transform, Load) operations to prepare structured data.

Design and implement a centralized data warehouse.

Use SQL queries to extract meaningful business metrics.

Develop dashboards to track conversion rates, customer lifetime value, and product demand trends.

Implement clustering algorithms to segment customers based on purchasing behavior.

Integrate real-time data streaming concepts (if possible) for dynamic dashboard updates.

Create visual reports highlighting sales funnels and abandoned cart analysis.

Perform trend and seasonal analysis using time-series techniques.

Evaluate system scalability and performance.

Prepare comprehensive documentation including architecture diagrams and business insights summary.