Uber的财务计算平台

For a company of our size and scale, robust, accurate, and compliant accounting and analytics are a necessity, ensuring accurate and granular visibility into our financials, across multiple lines of business.

对于我们这种规模的公司来说，强大、准确和合规的会计和分析是必要的，以确保对我们多条业务线的财务状况有准确和细致的了解。

Most standard, off-the-shelf finance engineering solutions cannot support the scale and scope of the transactions on our ever-growing platform.  The ride-sharing business alone has over 4 billion trips per year worldwide, which translates to more than 40 billion journal entries (financial microtransactions). Each of these entries has to be produced in accordance with Generally Accepted Accounting Principles (GAAP), and managed in an idempotent, consistent, accurate, and reproducible manner.

大多数标准的、现成的财务工程解决方案无法支持我们不断增长的平台上的交易规模和范围。 仅共享汽车业务每年在全球就有超过40亿次出行，这意味着超过400亿条分录（财务微交易）。这些分录中的每一条都必须按照公认的会计原则（GAAP）来制作，并以一种无条件的、一致的、准确的和可重复的方式进行管理。

To meet these specific requirements, we built an in-house Uber’s Finance Computation Platform (FCP) —a solution designed to accommodate our scale, while providing strong guarantees on accuracy and explainability. The same solution also serves in obtaining insights on business operations.

为了满足这些特定的要求，我们在内部建立了Uber的财务计算平台（FCP）--一个旨在适应我们规模的解决方案，同时在准确性和可解释性方面提供强有力的保证。同样的解决方案也有助于获得对业务运营的洞察力。

There were many challenges in building our financial computation platform, from our architectural choices to the types of controls for accuracy and explainability. 

在建立我们的财务计算平台的过程中，有许多挑战，从我们的架构选择到控制类型的准确性和可解释性。

Motivation and Technical Challenges 

动机和技术挑战

As the scale of our operations grew across multiple services and businesses, guaranteeing accuracy and explainability of financials at scale became cumbersome and costly. 

随着我们的业务规模在多项服务和业务中的增长，保证财务规模的准确性和可解释性变得繁琐而昂贵。

Given that in 2019 our customers take over 15 million trips every day and across a wide variety of services (Eats, Rides, Freight, etc.), we had to deal with a variety of data, unordered activity, and skewed load to produce an accurate, explainable, and standardized repr...