An advanced Power BI project that provides deep insights into the operational and business performance of Rapido—a bike taxi and auto service platform. This dashboard suite includes five integrated dashboards that visualize bookings, vehicle usage, revenue, cancellations, and ratings, helping stakeholders make informed decisions through data storytelling.
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Power BI – For creating dynamic and interactive dashboards
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Power Query – For data cleaning, transformation, and modeling
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DAX (Data Analysis Expressions) – For creating KPIs and measures
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Microsoft Excel / CSV – As data sources for the analysis
The data used in this project includes structured trip-level and customer-level Rapido data, containing:
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Booking IDs, Status, Date & Time
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Vehicle Type and Distance Traveled
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Revenue & Payment Method
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Customer Ratings and Driver Ratings
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Cancellation Reasons (Customer/Driver)
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Geographical ride volume data
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Displays total bookings and their values.
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Visual booking success rate over time via a line or bar chart.
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Booking status breakdown (succeeded, cancelled by customer, cancelled by driver, driver not found).
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Time-based filter to view metrics dynamically by date.
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Shows total distance traveled, average distance, and booking counts per vehicle type.
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Booking types include: Prime Sedan, Prime SUV, Prime Plus, Mini, Auto, Bike, E-Bike.
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Success booking percentage per vehicle type to understand fleet efficiency.
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Displays revenue by payment method (Cash, Wallet, UPI, etc.).
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Revenue per distance traveled to evaluate pricing efficiency.
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Top 5 customers by revenue contribution.
*Fully interactive with date sliders to view revenue changes over time.
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Shows total bookings, successful rides, and total cancellations.
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Two insightful pie charts:
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Rides cancelled by drivers (with reason-wise breakdown).
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Rides cancelled by customers.
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Helps in identifying cancellation trends and target areas for customer support or policy change.
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Provides customer and driver ratings for each vehicle type:
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Prime Sedan, Prime SUV, Prime Plus, Mini, Auto, Bike, E-Bike
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Highlights service quality, rider satisfaction, and driver performance.
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Enables performance monitoring by vehicle class and overall service type.
📈 Performance Optimization
- Helps operations teams track ride success rates, cancellations, and optimize vehicle allocation based on demand and distance.
- Enables financial teams to monitor revenue by source, ride distance, and top contributors, supporting targeted growth strategies.
- Provides insights into which vehicle types are performing better in terms of distance, bookings, and customer satisfaction.
- Identifies root causes of ride cancellations, assisting in reducing failed trips and improving customer retention.
- Tracks customer and driver ratings to ensure high-quality standards and enhance user experience.
- Overall Bookings Dashboard: https://github.com/SatishY21/Rapido_Data_Analytics_End_to_End_Project/blob/main/Overall.png
- Vehicle Analytics Dashboard: https://github.com/SatishY21/Rapido_Data_Analytics_End_to_End_Project/blob/main/Vehicle%20Type.png
- Revenue Dashboard: https://github.com/SatishY21/Rapido_Data_Analytics_End_to_End_Project/blob/main/Revenue.png
- Cancellation Insights Dashboard: https://github.com/SatishY21/Rapido_Data_Analytics_End_to_End_Project/blob/main/Cancellation.png
- Ratings Dashboard: https://github.com/SatishY21/Rapido_Data_Analytics_End_to_End_Project/blob/main/Ratings.png