Data Geeks Must Learn to Speak to Clients
This piece is for aspiring data scientists, analysts or consultants (or any other cool title du jour in this data and analytics business). Then again, people who spend even a single dime on a data project must remember this, as well: “The main goal of any analytical endeavor is to make differences in business.”
To this, some may say “Duh, keep stating the obvious.” But I am stating the obvious, as too many data initiatives are either for the sake of playing with data at hand, or for the “cool factor” among fellow data geeks. One may sustain such a position for a couple of years if he is lucky, but sooner or later, someone who is paying for all of the data stuff will ask where the money is going. In short, no one will pay for all of those servers, analytical tools and analysts’ salaries so that a bunch of geeks have some fun with data. If you just want the fun part, then maybe you should just stay in academia “paying” tuition for such an experience.
Not too long ago, I encountered a promising resume in a deep pile. Seemingly, this candidate had very impressive credentials. A PhD in statistics from a reputable school, hands-on analytics experience in multiple industries (so he claimed), knowledge in multiple types of statistical techniques, and proficiency in various computing languages and toolsets. But the interview couldn’t have gone worse.
When the candidate was going on and on about minute details of his mathematical journey for a rather ordinary modeling project, I interrupted and asked a very simple question: “Why did you build that model?” Unbelievably, he couldn’t answer that question, and kept resorting back to the methodology part. Unfortunately for him, I was not looking for a statistician, but an analytics consultant. There was just no way that I would put such a mechanical person in front of a client without risking losing the deal entirely.
Stephen H. Yu is a world-class database marketer. He has a proven track record in comprehensive strategic planning and tactical execution, effectively bridging the gap between the marketing and technology world with a balanced view obtained from more than 30 years of experience in best practices of database marketing. Currently, Yu is principal and chief product officer at BuyerGenomics. Previously, Yu was the head of analytics and insights at eClerx, and VP, Data Strategy & Analytics at Infogroup. Prior to that, he was the founding CTO of I-Behavior Inc., which pioneered the use of SKU-level behavioral data. “As a long-time data player with plenty of battle experiences, I would like to share my thoughts and knowledge that I obtained from being a bridge person between the marketing world and the technology world. In the end, data and analytics are just tools for decision-makers; let’s think about what we should be (or shouldn’t be) doing with them first. And the tools must be wielded properly to meet the goals, so let me share some useful tricks in database design, data refinement process and analytics.” Reach him at firstname.lastname@example.org.