A guest post (by William Faulkner, João Martinho, and Heather Muntzer) put up on my friend Stephanie Evergreen’s blog sparked a big discussion in the comment section. I’ll paraphrase a little… Stats People – You don’t understand anything. Confidence intervals really stand for blah, blah, blah, blah, blah, blah, blah, blah, blah. So this is […]
So there’s this thing I gotta do. You know that whole creative workshop for data people thing that I started? I’ve come to the realization that if I want it to be successful, I need to give it everything I’ve got. So freshspectrum’s going to go quiet for a bit. Not sure for how long, […]
Happy Fourth of July!
There is this tendency to get wrapped up in tech. If only we had that cool new dashboard or visual. Then we could really take advantage of our data. Of course the actual tech part is not everything. Not anywhere close. Sure, the tech stuff can be neat, but the human side is the […]
I think the last mile analogy below will resonate with many of you. Sometimes it seems like we spend so much time planning, collecting and analyzing that the final piece almost becomes an afterthought. But if you really want the data to be used, you need to put in some real effort at the end. […]
Data science vs evaluation is a false dichotomy. Because data science and evaluation (or research) are not mutually exclusive. Both data science and evaluation involve data. Depending on the purpose, occasionally there will be overlap. When data science is used to make judgements on the merit, worth or value of things it is evaluative. Most […]