04-05-2019 05:27 AM
The IoT revolution in the logistics sector enabled real-time tracking and full transparency in fleet and resource management to tackle inefficiencies. In trucking, vehicle sensor data helps to understand how driver behaviour affects shipping time and fuel consumption which can uncover optimization potential that can save millions yearly. This example dashboard gives you insights about driver score and consumption metrics on truck type, operator and driver level.
This is beautifully done. Can you expand on how do you manage this with changing data (in production), where categories can increase, measure values can be all over the place?
Also, if you dont mind can you share the background & pbix file? What visual did you use for the 'average metric points' bottom right visual (lollypop sticks?)