Welcome to the OLA Data Analyst Project! This project demonstrates a complete data analytics workflow, covering data extraction with SQL, analysis with Excel, and visualization using Power BI. The dataset was AI-generated and connected to Power BI through Google Sheets for real-time updates. πβ¨
- ποΈ SQL for Data Extraction and Preparation: Writing queries to clean, filter, and aggregate data for insights.
- π οΈ Google Sheets: Data hosting for Power BI integration and for Data Analysis.
- π Power BI for Visualization: Creating interactive dashboards to communicate findings effectively
- π€ AI: Dataset generated with AI, connected to Power BI via Google Sheets.
- πΈ Revenue: Total bookings generated $57M, while cancellations caused a $21M loss.
- π Cancellations: The majority of driver cancellations were due to personal or vehicle issues.
- π Ratings: Both customers and drivers averaged a rating of 4.0.
- π Vehicle Performance: Prime Sedan and Auto were the most profitable vehicle types.
Hereβs a preview of the Power BI dashboard used in this project:
1. Overall Analysis π: Total bookings, revenue trends, and cancellation patterns.
2. Vehicle Analysis π: Popular vehicles, average ride distances, and vehicle-specific ratings.
3. Revenue Analysis πΈ: Revenue trends by location, time, and vehicle type.
4. Cancellation Analysis π: Reasons for cancellations by customers and drivers.
5. Ratings Analysis π: Distribution and trends in customer and driver ratings.
1. Clone the repository:
git clone https://github.com/theDhanendra/Ride_Bookings.git
2. Navigate to the project folder:
cd Ride_Bookings
3. SQL:
- Open "ola_analysis.sql" in any SQL editor (e.g., MySQL Workbench).
- Execute queries for data extraction and insights.
4. Power BI:
- Open "ola_dashboard.pbix" in Power BI Desktop to explore the dashboard.
5. Optional:
- View Ola_Dashboard.pdf for a summary of key visualizations.
Contributions are welcome! Fork this repository and submit a pull request with your enhancements. Let's build something amazing together. π
For queries or feedback, reach out at:
- π§ Email: dhanendra.std@gmail.com
- π» LinkedIn: Dhanendra Kumar