I think you are saying in essence, data quality trumps data quantity, which in turn trumps modeling and algorithmics. This seems to hold fairly well, with a fe

I think you are saying in essence, data quality trumps data quantity, which in turn trumps modeling and algorithmics. This seems to hold fairly well, with a few caveats. For example, without enough data you ar wasting your t8me with some techniques. Also “data quality” most often needs to include quality labeling in practice (but you may have meant that inclusively).