https://github.com/dlomas26/ola-dashboard
To analyze ride-booking data from OLA, identify patterns, and create interactive dashboards to present actionable insights
https://github.com/dlomas26/ola-dashboard
excel powerbi sql
Last synced: 5 months ago
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To analyze ride-booking data from OLA, identify patterns, and create interactive dashboards to present actionable insights
- Host: GitHub
- URL: https://github.com/dlomas26/ola-dashboard
- Owner: dLomas26
- Created: 2025-07-21T10:31:45.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-23T14:41:36.000Z (11 months ago)
- Last Synced: 2025-08-19T11:28:24.099Z (10 months ago)
- Topics: excel, powerbi, sql
- Homepage: https://github.com/dLomas26/ola-dashboard
- Size: 14.9 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### OLA Dashboard - Power BI Analytics
A comprehensive data analytics dashboard built with Microsoft Power BI for business intelligence and data visualization.
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### Project Overview
The OLA Dashboard is a Power BI solution designed to transform raw data into meaningful insights through interactive visualizations. This project enables stakeholders to monitor KPIs, identify trends, and make data-driven decisions.
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### Dashboard Preview
Below is a snapshot of the PowerBI dashboard:
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### Key Features
1.Interactive Visualizations: Charts, graphs, and tables that respond to user interactions
2.Real-time Data Refresh: Connect to live data sources or scheduled refreshes
3.Multi-page Reports: Organized by business function (Sales, Marketing, Operations)
4.Drill-through Capabilities: Navigate from high-level metrics to detailed analysis
5.Mobile Responsive: Adapts to different screen sizes
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## Key Insights and Analysis
### SQL Analysis
1. **Successful Bookings**: Identified all completed rides.
2. **Average Ride Distance**: Calculated for each vehicle type to understand efficiency.
3. **Cancellation Insights**:
- Total canceled rides (customer and driver).
- Reasons for driver cancellations (personal, car issues, etc.).
4. **Top Customers**: Ranked by number of bookings and total spending.
5. **Revenue Trends**: Summarized booking values for successful rides.
6. **Ratings Distribution**: Analyzed by vehicle type for customer and driver performance.
### Power BI Dashboards
1. **Ride Volume Over Time**: Trends in ride bookings across days and weeks.
2. **Booking Status Breakdown**: Pie charts illustrating success, cancellations, and incomplete rides.
3. **Revenue Breakdown**: Bar charts by payment method and customer value.
4. **Cancellation Reasons**: Segmented by customers and drivers for actionable insights.
5. **Rating Comparisons**: Driver and customer ratings are compared across various vehicle types using card visuals.
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## How to Use the Repository
1. **Clone or Download**:
- Clone this repository using Git or download it as a ZIP file.
2. **SQL Queries**:
- Load the `Bookings-100000-Rows.xlsx` dataset into your database (e.g., MySQL, PostgreSQL).
- Run the queries in `Ola_Data_Analysis.sql` to generate insights.
3. **Power BI Dashboard**:
- Open `Ola_Data_Visualization.pbix` in Power BI Desktop.
- Explore the dashboards and interact with filters for detailed insights.
4. **Showcase**:
- Include the Power BI file to demonstrate interactive dashboarding skills.
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## Tools and Technologies Used
- **SQL**: For querying and extracting insights from the dataset.
- **Excel**: To handle large datasets and initial data exploration.
- **Power BI**: For creating interactive dashboards and visual storytelling.
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