The quality of your data isn't good or bad

The quality of your data isn’t simply “good” or “bad”.

Nor does a particular quality dimension necessarily need to be improved.

Much of the time we only need the data to be directionally correct. So if it’s missing 10% of the data, or it’s sometimes inaccurate, that’s fine.

As long as we know those limitations, the quality is good enough.