How Uber Manages Data Quality: Standards and Platform
In the article, the author shares their insights gained from three hours learning about how Uber manages data quality. They highlight the importance of maintaining high data quality within such a large organization. The piece describes various techniques and strategies used by Uber to ensure their data is robust and reliable. Challenges associated with data management, such as outdated information and human errors, are also discussed. The author emphasizes the significance of teamwork and commitment to processes that help identify and eliminate data quality issues, as well as creating a data-driven culture, which ultimately supports informed decision-making over the long term.