Hey, great question! Data quality metrics are super important, but yeah, it’s easy to get lost in the weeds. I’d say focus on accuracy and completeness first—those are the foundation.
Timeliness is important too, but it really depends on your use case. Like, if you’re doing real-time analytics, it’s a must. Otherwise, maybe not as critical.
I’ve been using Dataiku for automating a lot of this stuff, and it’s been pretty solid. Anyone else use it?
Timeliness is important too, but it really depends on your use case. Like, if you’re doing real-time analytics, it’s a must. Otherwise, maybe not as critical.
I’ve been using Dataiku for automating a lot of this stuff, and it’s been pretty solid. Anyone else use it?