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The dashboard visualizes data from Uber Transport Service, covering key performance indicators

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🚀PROJECT SHOWCASE: Operational Performance Overview – Ride Data🚀

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📈 PROJECT OVERVIEW

The dashboard visualizes data from Uber Transport Service, covering key performance indicators (KPIs) such as:

  • Total Revenue: $52M
  • Total Customers: 104K

  • Total Vehicle: 150K

  • Total Distance: 3M

  • Completed Booking: 93K

  • Lost Booking: 57K

  • Average Distance: 24.64

  • Average Customer Rating: 4.40

  • Average Drivers Rating: 4.23

🔍 KEY INSIGHT

  • The total revenue generated was approximately $52 million.

  • Uber Auto recorded the highest revenue of $13 million, representing 25% of total revenue, while Uber XL had the lowest revenue at $2 million which is just 3.8%.

  • March emerged as the best-performing month in terms of revenue.

  • The lowest number of bookings was recorded in February, with 11,537 total bookings.

  • UPI accounted for 45.03% of all payment transactions.

  • The distance covered remained relatively consistent across all months, showing little variation.

💡 RECOMMENDATION

  • Focus on the Uber XL category: Since Uber XL generated the lowest revenue ($2M), the company should introduce targeted promotions, adjust pricing, and enhance visibility to boost demand and utilization.

  • Leverage March’s performance drivers: As March recorded the highest revenue, management should analyze the factors behind this peak such as marketing campaigns or seasonal demand and replicate them in other months.

  • Address low February bookings: With only 11,537 bookings in February, the company should implement early-year promotions, loyalty programs, and referral incentives to stimulate ridership during slow periods.

  • Capitalize on UPI payment preference: Since 45.03% of all payments were made via UPI, the company should strengthen UPI integration, offer cashback rewards, and highlight its convenience to enhance user satisfaction and retention.

  • Optimize revenue per kilometer: As ride distances remained consistent across all months, efforts should focus on increasing revenue efficiency through dynamic pricing, ride pooling, and premium service upselling.

Tools

  • Excel
  • PowerBI

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The dashboard visualizes data from Uber Transport Service, covering key performance indicators

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