A Little More Conversation, A Little Less Action — A Case Against Premature Data Integration | Towards Data Science

Running a large data integration project before embarking on the ML part is easily a bad idea, because you integrate data without knowing its use . The chances that the data is going to be fit for purpose in some future ML use case is slim, at best This article shows how having people talking together helps avoid the trap of premature data integration in ML projects, optimising value for money.