There were things that they would have much rather spent their time on, like in optimizing existing data to perform better on product surfaces or even researching and developing new insights to augment where the model just simply doesn't do as well.
Había cosas a las que hubieran preferido dedicar su tiempo, por ejemplo, a optimizar los datos existentes para que funcionen mejor, o incluso a investigar y desarrollar nuevos conocimientos para realzar cuando el modelo no funciona tan bien.