Recently, I’ve stumbled upon an interesting series of posts about effective management of data science projects. One of the posts in the series says:
“Operationalization” – a term only a marketer could love. It really just means “people using your solution”.
The main claim of that post is that, at some point, bringing actual users to your data science project may be more important than improving the model. This is exactly what I meant in my “when good enough is good enough” post (also available on YouTube)