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…

Does this sound familiar?  

Your organization is ready to develop more increasingly sophisticated analytics, but finds it difficult to get its data all in one place in a form that is usable. It is probably not a stretch to imagine this is poor quality data, filled with errors or incomplete. Also, there may be a reluctance to share data across the organization. The data may not be collected in a consistent way, or it might be locked in rigid data silos that are…

So many data scientists select an analytic technique in hopes of achieving a magical solution, but in the end, the solution simply may not even be possible due to other limiting factors. It is important for organizations working with analytic capabilities to understand the various constraints of implementation most real-world applications…