This 160lb ‘puppy’ rules the tasting room at Lambert Bridge

Crazy Tank can’t believe he’s 8 years old.

the term data scientist is all the rage right now.  Believe me I appreciate the need to have a statistician wizard on your data, but it’s unrealistic to think that it’s the holy grail of your business.  I’ve heard this from customers over and over saying that they ‘have big data’ but it’s hard to hire the people to use it so they are getting zero value from it.  

This is totally backwards and people are being oversold the concept of “Big Data”.  It’s such a buzz, like cloud was a few years ago, that everyone rushes out to buy tools for data science without giving consideration what they are actually trying to solve.  I bet if you gave a smart marketing manager, the same person who can do A/B testing, the easy to use tools - they could generate insight fairly quickly.  Not everybody is a quant fund who needs to build this stuff in-house.  

You still need to have a data scientist, but why not give the person who’s job depends on the data an ability to quickly get 80% of what they need.  These same people are doing work with terrible tools; like access databases and excel imagine if we could give them something more.  

I’m saying make your data guru closer to your business use case and keep the data science for modeling and deep expertise.  That’s what I’m aiming to uncover.