In the analytics space, it is quite common for many organizations to have a team of data miners who are now referred to as data scientists and a team of business users who are often referred to as value architects. It has been a common practice ever since the first direct marketing models were produced for the large catalog and publishing firms in the sixties that both the “data” person or data scientist and the “business” person or value architect needed to collaborate in developing a specific business solution. But the challenge then and the one that still remains today
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