What are we trying to predict? Where is the data? How are we measuring if we are getting it right? Which departments are a part of this Data Science project? Who is my internal customer? When does this have to be completed? How clean is the data?

Data Science projects seem to go through a natural set of phases which model the inquisitive spirit of Data…

"Move out of the way – I am ready to model.” That is the typical sentiment of a Data Science team when given a business…

Business goals are no doubt important, but in an analytic project it makes sense to balance the organization's goals with…

Most Data Scientists like to get their hands dirty with data just as quickly as possible, but it is important to…

Businesses around the world are involved in a multitude of projects at any given time. As Data Scientists come into the business fold, it becomes more important with each passing day to have both parties – “the business” and “the…

Business professionals of all levels have asked me over the years what it is that they should know that their Data Science departments may not be telling them. To be candid, many Data Scientists operate in fear wondering what they should be doing as it relates to the business. In my judgment, the questions below address both…