数据如何塑造Uber的骑手应用

How Data Shapes the Uber Rider App

Data is crucial for our products. Data analytics help us provide a frictionless experience to the people that use our services. It also enables our engineers, product managers, data analysts, and data scientists to make informed decisions. The impact of data analysis can be seen in every screen of our app: what is displayed on the home screen, the order in which products are shown, what relevant messages are shown to users, what is stopping users from taking rides or signing up, and so on.  

数据对我们的产品至关重要。数据分析帮助我们为使用我们服务的人提供无摩擦的体验。它还使我们的工程师、产品经理、数据分析师和数据科学家能够做出明智的决定。数据分析的影响可以在我们应用程序的每一个屏幕上看到:主屏幕上显示的内容、产品显示的顺序、向用户显示的相关信息、阻止用户乘车或注册的原因等等。

With such a huge user base and wide range of features, support across all geographic regions is a complicated problem to solve. Furthermore, our app keeps expanding with new products, which mandates that the underlying tech also be flexible enough to evolve and support them. 

面对如此庞大的用户群和广泛的功能,对所有地理区域的支持是一个需要解决的复杂问题。此外,我们的应用程序随着新产品的出现而不断扩展,这就要求底层技术也要有足够的灵活性来发展和支持它们。

Data is the primary tool enabling this. The following article will focus on rider data in particular: how we collect and process it, and how that has informed concrete improvements to the Rider app.

数据是实现这一目标的主要工具。以下文章将特别关注骑手数据:我们如何收集和处理这些数据,以及这些数据如何为骑手应用程序的具体改进提供依据。

Rider data comprises all the rider’s interaction with the Uber Rider App. This accounts for billions of events from Uber’s online systems every day, which are in turn converted into hundreds of Apache Hive™ tables for different use cases, powering the Rider app. 

骑手数据包括骑手与Uber骑手应用的所有互动。这占了每天来自Uber在线系统的数十亿事件,这些事件又被转化为数百个Apache Hive™表,用于不同的使用情况,为Rider应用程序提供动力。

These are some of the top problem areas which can make use of rider data analytics:

这些是可以利用骑手数据分析的一些首要问题领域。

      • Increasing funnel conversion
      • 提高漏斗转换率
      • Increasing user engagement
      • 提高用户参与度
      • Personalization 
      • 个性化定制
      • User communication 
      • 用户交流

Online Data Collection  

在线数据收集

Mobile Event Logging

移动事件记录

Rider data has multiple sources, but a primary one is capturing how users interact with the App. User interac...

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