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Ola Bookings Power BI Dashboard

Project Overview

This Power BI project visualizes Ola booking data for the month of July 2024, offering a detailed breakdown of booking statuses, revenue metrics, and ride volume trends. The interactive dashboard helps stakeholders understand business performance and customer behavior in a snapshot.

Files Included

  • Bookings.xlsx – Raw data file.
  • Ola_Bookings.csv – Cleaned and structured dataset for dashboarding.
  • Ola Report.pdf – Exported Power BI dashboard for sharing/reporting.

Key Features

  • Date Slicer: Filter the dashboard to view bookings within a specific range in July 2024.
  • Summary Cards:
    • Total Bookings: 103,024
    • Total Booking Value: ₹35M
  • Booking Status Breakdown:
    • Success: 62.09%
    • Canceled by Driver: 17.89%
    • Canceled by Customer: 10.19%
    • Driver Not Found: 9.83%
  • Ride Volume Over Time:
    • Daily booking fluctuations shown with a line graph.
    • Peak ride activity seen around mid-July.

Insights

  • High Success Rate: Over 62% of the bookings were successful, indicating strong operational reliability.
  • Driver Cancellations: ~18% of bookings were canceled by drivers, highlighting a potential area for driver engagement or logistics improvement.
  • Steady Booking Pattern: Ride volume stayed relatively consistent across July, with no major spikes except a slight increase mid-month.
  • Strong Booking Volume: 103K bookings in a single month reflect high platform usage and engagement.
  • Missed Opportunities: 9.83% of rides were dropped due to "Driver Not Found," pointing toward demand-supply mismatches in some areas.

Skills Demonstrated

  • Power BI Report Development
  • Data Cleaning & Transformation (Excel & CSV)
  • DAX for Metrics Calculation
  • Visualization and Storytelling with Data

Tools Used

  • Microsoft Power BI
  • Microsoft Excel
  • CSV/Spreadsheet Manipulation Tools

Author

Jagriti Kanwar
Mail : kanwarjagriti21@gmail.com
LinkedIn : Jagriti Kanwar

About

A Power BI dashboard analyzing Ola bookings for July 2024. It covers booking trends, cancellations, and revenue insights to support operational decision-making in ride-sharing services.

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