I think you are 100% spot-on. Good enough has always been fine for the vast majority of people and the vast majority of use-cases.
Couple this with decreasing costs of storage (and ideally compute), and it doesn't matter if the data model is garbage, people can still get something workable that's better than the awful Excel files they curate now. It will still make errors, but eventually fewer than their spreadsheets.
There is no "good enough" for data modeling. There is correct, and there is "this works, but it has latent bugs that will eventually surface." You either have referential integrity, or you don't.
Couple this with decreasing costs of storage (and ideally compute), and it doesn't matter if the data model is garbage, people can still get something workable that's better than the awful Excel files they curate now. It will still make errors, but eventually fewer than their spreadsheets.