Enterprise DNA - Transportation & Logistics

Scenario and data simulated for a transportation company that receives bookings from a variety of clients and through a number of different channels. Location set in New Zealand, where bookings spread throughout the country over a 5 month period. Analysis used to manage the logistics around customer demand for services and transportation requests.

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Transportation and Logistics

Scenario and data simulated for a transportation company that receives bookings from a variety of clients and through a number of different channels including web, phone and walk ups. Reports enable deep analysis of key business metrics including bookings, profits, sales, discounts and more. Analysis has been summarised across a variety of key metrics including client's; location, age, loyalty, traveling direction and much more. Location set in New Zealand, where bookings spread throughout the country over a 5 month period. Analysis used to manage the logistics around customer demand for services and transportation requests.

Analysis divided across 5 different pages:

Summary - Highlighting key business metrics for daily or weekly review from key executives or management

Location - Spatially analyse data per region or by month across a number of different key business filters

Channel & Type - Drill down into what channel bookings are coming from and also which transportation is required from those particular bookings

Loyalty & Client Groupings - Insights around customers. Their loyalty and also group (eg. Corporate or Retail)

Age, Gender, Passenger Type - Analysis around type of person making the bookings and key metrics focused on these particular metrics

Similar analytics could be overlaid for any transportation or logistics organisation based in any location, looking to explore and dive into their data in more detail.

Enterprise DNA - We empower organisations with actionable intelligence via industry-leading technology, analytics and sophisticated enterprise intelligence applications.

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