No, data that doesn't have any coherent practical meaning is worse than no data (well, it's worth exactly the same as no data if and only if you recognize the fact that it has no coherent practical meaning and disregard it entirely.)

One of the classic bad-management failures is finding some easy to quantify it irrelevant to purpose number and optimizing around it because, hey, it may not be perfect “but data is data”.