![]() While the ever-present spectre of data misuse is nipping at Uber’s heels, there’s no doubt that the anonymous, aggregated data they collect insights from is nothing short of amazing.Īll of this data is collected, crunched, analyzed and used to predict everything from the customer’s wait time, to recommending where drivers should place themselves via heatmap in order to take advantage of the best fares and most passengers. We may share this information with third parties for industry analysis and statistics. Uber uses your personal data in an anonymised and aggregated form to closely monitor which features of the Service are used most, to analyze usage patterns and to determine where we should offer or focus our Service. But Uber is very clear about how it uses the data gathered on its platform. If you’re reading this wondering if it’s a gross invasion of privacy – you aren’t the first. In addition to collecting non-identifiable information about their vehicle and their location, Uber also monitors their speed and acceleration, and checks to see if they are working for a competing company as well (such as Lyft). Uber also looks at how transportation is handled across cities and tries to adjust for bottlenecks and other common issues. All of this data is stored and leveraged to predict supply and demand, as well as setting fares. In the background Uber is storing data for every trip taken - even when the driver has no passengers. Uber has a massive database of drivers, so as soon as you request a car, Uber’s algorithm goes right to work – in 15 seconds or less, it matches you with the driver closest to you. But what’s actually happening in the background and what can we learn from it? The Process Behind the Scenes ![]() Add to that the fact that sometimes there are things out of even Uber’s control, like poor city transportation infrastructure, traffic jams, uncooperative drivers and much more.ĭespite these setbacks, Uber has changed the way we move and is poised to change even more as the service comes to more and more cities. But there’s a great deal of data wrangling going on to make all of this happen in a (relatively) smooth process. ![]() Getting a ride from an Uber driver is beautiful in its simplicity: simply open the app, set the pickup location, request a car, get picked up and pay with the tap of a button. Other ventures, such as a bike delivery service and food delivery, were also launched and tested in select cities. Uber was originally started as a black car-hailing service: UberCab, in San Francisco.Īlthough it cost about 1.5 times as much as a traditional cab, the fact that you could hail an UberCab from your smartphone was a huge hit with consumers and new cities were added quickly. When it comes to moving people and making deliveries, few companies are more widespread and more widely-recognized than Uber.īut how do they do it? And what can we learn from them? As it turns out, there’s a great deal of data being collected, produced and visualized behind the scenes - all working to create a more efficient company and impact transportation as a whole. ![]()
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