- by tomsg, Data Doctor
- 4/13/2015 11:50:46 AM
This makes me think that some fo the survey results are skewed by what people think analytics are. The definition likely vaires based on how much knowledge and experience you have.
- by Krexer, Prospector
- 4/11/2015 8:59:38 PM
Great point, Terry. Yes, we are thinking it is probably time for a re-branding. And people's reasponses to the survey help to show the trends in the words we use to descibe our work. Some peopel used to call it "knowledge discovery" or "applied statistics". Then the term "data mining" came, got unfortunately associated in people's minds with privacy invasion, and we saw that term slip away. The 2013 survey people showed a splintered set of labels. The most common was 17% of respondents considered themselves to be "Data Scientists". 15% called themselves "Researchers", 12% "Data Analytists", and it went down from there. We'll wait and see what is found in the 2015 survey -- but if I had to guess, I'd say that probably the term "Data Scientist" will gain in popularity. Please particulate in the 2015 survey and tell us your views on this question and many others.
-- Karl Rexer
- by louisw900, Blogger
- 4/11/2015 6:28:53 PM
"One of the most puzzling aspects of model deployment is how often organizations fail to follow-up to determine whether models have been effective"
Interesting. It appears that completing the Analytical cycle is still a problem. What is the reason for this ? Why go 90% and leave the remaining 10% open to ruining all of the previous effort ?
We talk about "company buy in" but this aspect of it is far too common. Which leads me to believe most companies are (still) not really serious about their efforts, willing to run with findings that have not be completely verified - otherwise situations such as that described would not be relevant.
- by T Sweeney, Blogger