Thomas Otter

Readers of this blog and my Gartner research will know that I am a big fan of analytics. Not the really the tools, but the skills to take numbers and turn them into something useful. I’m not a statistician, but I know several. I’m even friends with a couple (meaning, in this instance, more than one, rather than two statisticians in a significant relationship).

Tony Hirst, who I linked to the other day about the UK politics mashup, came back and commented on my blog, so I followed a couple of his links and I ended up at the delightful Dataspora blog.

The post the three sexy skills of data geeks is excellent. Here is the concluding paragraph, but read all of it.

Put All Three Skills Together: Sexy. Thus with the Age of Data upon us, those who can model, munge, and visually communicate data — call us statisticians or data geeks — are a hot commodity.  I grew up before the age of geek chic, when the computer wizzes were social pariahs, and feature-length movies were dedicated to nerds seeking revenge.  But in the last decade, Steve Jobs became an icon, the Internet became cool, and an entire generation of tech kids grew up well adjusted.  They even built the social web to prove it.   I believe the same could happen to statistics and data geeks too.

I spent Friday night on the phone with a large company asking about how to sort out their HR analytics issues. My advice was to hire such a person, and not worry too much about whether you need to do the charts on tool a or b. I didn’t put it quite as eloquently as model and munge though.