Visualizing Data Timeliness at Airbnb
Imagine you are a business leader ready to start your day, but you wake up to find that your daily business report is empty — the data is late, so now you are blind.
Over the last year, multiple teams came together to build SLA Tracker, a visual analytics tool to facilitate a culture of data timeliness at Airbnb. This data product enabled us to address and systematize the following challenges of data timeliness:
- When should a dataset be considered late?
- How frequently are datasets late?
- Why is a dataset late?
This project is a critical part of our efforts to achieve high data quality and required overcoming many technical, product, and organizational challenges in order to build. In this article, we focus on the product design: the journey of how we designed and built data visualizations that could make sense of the deeply complex data of data timeliness.
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