Data quality testing
Our data observability workflow uses data quality testing to ensure data meets accuracy, consistency, and reliability standards, enabling confident, data-driven decisions. See how we built it, the common challenges we encountered, and the solutions.
Lambert Le Manh
Data stack 2024
It's been nearly 2 years since our last update on our data stack—and we have a lot to share! Read about improvements to our local dev setup, why we switched key platforms, and some other cool things. 👀
Jack Colsey
How our data team handles incidents
Data incidents are just like any other type of incident, and having a well defined data incident management process in place makes it a lot less stressful when things inevitably break. Here's how our team does it.
Navo Das
The Tasty Data Morsel: Data delight as company culture
Feeling hungry? We love to spice up our weekly all-hands meetings with the Tasty Data Morsel: a bite-sized insight covering everything from our sales velocity to the most popular Christmas party dishes. These data treats make numbers not just digestible but downright delicious.
Matilda Hultgren
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