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Big Data LDN 2026, 
23–24 September
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Ride-Sharing Efficiency Using Advanced Data Accelerator

Opportunities & Accelerators

We have a range of accelerators that fast-track results and prioritise outcomes over technology.

These accelerators are expertly tailored for needs across various departments, industries, and business applications.
Driver Behaviour
  • Using telemetry data and working patterns, overlayed with customer demand. Educate new or dissatisfied drivers to maximise earnings.
  • Arm the driver liaison team with one interface to support the workforce using data

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Customer Demand
  • Understand spare driver capacity vs reachability of customer demand
  • Plug insight into driver apps for highlighting demand in close proximity using both historics and realtime data

Explore more

Driver Behaviour

Analysis of a Driver behaviour for a Ride Sharing Company

Where are the drivers spending idle time when not fare earning

  • Map location of a driver when showing an empty classification (non-fee-earning)
  • Capture all drivers across any time period in a single user interface
  • Display percentage of idle time across days and months to highlight peaks and troughs in activity
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Customer Demand

Customer Demand vs Empty Drivers for a Ride Sharing Company

Where is the demand of the customers in relation to where the drivers are located

  • Map the location of idle drivers relative to customer demand
  • Analysis broken into 15 minute segments over 24 hours
  • Understand the cost perspectives in terms of total idle driver hours and potential lost revenue
Learn More

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