I built an interactive Ola Ride Booking Analytics Dashboard to analyze ride bookings, successful ...I built an interactive Ola Ride Booking Analytics Dashboard to analyze ride bookings, successful ...
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I built an interactive Ola Ride Booking Analytics Dashboard to analyze ride bookings, successful rides, revenue, customer ratings, driver ratings, vehicle types, payment methods, and booking status.
The dashboard includes key performance indicators, booking trends, revenue analysis, vehicle-type performance, payment-method analysis, and booking-status insights.
Tools used: Power BI, SQL, Python, Excel, DAX, and Data Visualization.
The goal was to transform ride-booking data into an interactive dashboard that makes it easier to identify business trends, customer behavior, revenue patterns, and operational insights.
I recently designed and developed this interactive Power BI dashboard as part of a job assignment. The goal was to analyze retail sales, customer trends, and product performance for BrightMart.
📊 Key Features:
• KPI Summary: Tracking Total Sales ($2.03M), Total Orders, Quantity, and Customers.
• CY vs. PY Revenue: Monthly sales trend comparison between the current and previous year.
• Top/Bottom Performers: Dynamic toggle to instantly view top 10 and bottom 10 products.
• Interactive Slicers: Custom collapsible panel to filter by Region, Category, and Brand.
• Data Modeling: Built on a Star Schema model with custom DAX measures for optimal performance.
This project was created as a job assessment task to demonstrate end-to-end data transformation, modeling, and dashboard visualization.