Created a project on Ola drivers and customer reviews using SQL & Power BI. This repository contains an analysis of OLA ride data, including vehicle types, revenue, cancellation rates, and customer and driver ratings. The data is presented in a structured format for easy understanding and further analysis.
- Overall Metrics
- Total bookings and booking values for the selected date range.
- Pie chart breakdown of booking statuses: -- Successful bookings. -- Cancellations by driver. -- Cancellations by customer. -- Instances of "driver not found."
- Ride volume trends over time.
- Vehicle Type Insights
- Booking value and success rates segmented by vehicle types: -- ***Prime Sedan, Prime SUV, Mini, Auto, Bike, E-Bike, and more.
- Average and total distance traveled per vehicle type.
- Revenue Analysis
- Revenue distribution by payment methods (e.g., cash, UPI, credit card).
- Top 10 customers based on total booking value.
- Revenue trends analyzed by distance.
- User-Friendly Navigation
- The side panel allows easy navigation between sections like Overall Metrics, Vehicle Type, Revenue, Cancellations, and Ratings.
- Date Selection: Use the date picker to select the range for data analysis.
- Navigation: Choose a category from the sidebar (Overall, Vehicle Type, Revenue, etc.) for detailed insights.
- Interactive Visualization: Clickable charts and tables allow exploration of specific metrics.
- Power BI: Used for designing and visualizing the dashboard.
- Data Source: Simulated ride-booking data for the month of July 2024.
- Real-time data integration.
- Enhanced drill-down capabilities for in-depth analysis.
- Advanced filtering options for granular insights.