Ola Ride Data Analysis Project (July 2024)

🚖Overview This project involves analyzing ride data from Ola for July 2024, using Power BI and SQL. The primary objective was to uncover key insights into ride trends, customer behavior, cancellation patterns, and revenue optimization while creating interactive dashboards for effective data visualization.

Key Objectives

1. Analyze ride booking trends to identify peak periods and demand fluctuations.
2. Understand customer and driver behavior to improve satisfaction and operational efficiency.
3. Investigate cancellation reasons to highlight improvement areas.
4. Provide actionable insights into vehicle performance and revenue trends.
5. Develop interactive dashboards to present data insights effectively.

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Data Insights

📊 Ride Volume Trends

• Daily and weekly ride volumes, with peaks during weekends and match days.

❌ Cancellation Analysis

• Customer Cancellations: Common reasons include drivers not heading to pickup points and wrong addresses.
• Driver Cancellations: Major causes include personal issues and exceeding passenger limits.

🚗 Vehicle Performance

• Prime Sedans and SUVs received the highest ratings, while shorter trips were common with Bikes and eBikes.

💰 Revenue Optimization

• Higher revenues on weekends and during match days.
• UPI was a preferred payment method, followed by Credit Cards and Cash.

⭐ Ratings Analysis

• Customer and driver ratings reveal trends in satisfaction and operational performance.

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Features

• SQL Queries:

  • Retrieve successful bookings, calculate average ride distances, analyze cancellation reasons, and more.
  • Optimized queries to extract insights from large datasets.

• Power BI Dashboards:

  • Interactive visualizations for ride trends, cancellations, vehicle performance, and revenue.
  • Easy-to-understand charts for actionable insights.

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Tools and Technologies

• SQL: For querying and data extraction.
• Power BI: For interactive and dynamic data visualization.
• Python (optional): For data preprocessing and analysis (if used).

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Project Deliverables

1. SQL Scripts: Queries for data extraction and insights generation.
2. Power BI Dashboards: Visualizations covering:
   • Booking trends.
   • Cancellation reasons.
   • Revenue by payment methods.
   • Customer and driver ratings comparison.
3. Documentation: Detailed explanation of the analysis and insights.

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How to Explore the Project

1. Clone the repository:

   https://github.com/Mohammad-Ali-SK/OLA-July-2024-Report

2. Review the SQL scripts in the /sql folder.
3. Open the Power BI dashboards in the /powerbi folder.
4. Refer to the /docs folder for project documentation.

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Key Learnings

• Translating complex datasets into meaningful insights.
• Building dashboards that drive decision-making.
• Understanding cancellation behavior and revenue optimization strategies.

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Connect with Me

If you have any questions or would like to collaborate on data analytics projects, feel free to reach out:
📧 Email: [email protected] 🌐 LinkedIn: https://www.linkedin.com/in/mohammad-ali-sk-316508240?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3BU0d5hE7UTOe2Za4zwwVKTQ%3D%3D