Thanks to Analytics Bridge and KDNuggets for pointing this out. A great map of analytical techniques that is very digestible. Click here for the interactive version, from Dr. Saed Sayad at the Univ. of Toronto. http://chem-eng.utoronto.ca/~datamining/dmc/data_mining_map.htm
Many thanks to Silicon Alley Insider for posting Latoya Eqwuekwe’s county by county timeline of job losses (using BLS data). Click on the image to link out to the video (it’s not embeddable)
I bought a copy @ the conference. Thornton is a hugely entertaining speaker, and his new book keeps the same (rapid) pace. No one has written a review on Amazon yet, which I’ll try to after finishing the book, but it’s a solid BI work talking not just about what could be, but also about the people that’ll get us to a new tomorrow using data.
I did not coin this phrase. There is an effort by a professor @ the London School of Economics to explore this topic. Jon Adams has several papers on his research, using historic precedent on the rise of scientific advances, and how the new “facts” are disseminated, believed (or not believed) by a population.
It’s cool stuff, and highlight various behavioral psych books that I like, but what does this have to do with analytics? I’m playing with this professor’s ideas in relation to new insights that an analytic may have, and whether the end user population would believe the insight enough to act on it (those of you who know me, know I like this topic). So, I guess it’s a microcosm of the larger scale behavior Dr. Adams is describing. Here’s a link to a brief PPT I thought was illustrative from his writing:
http://www3.imperial.ac.uk/pls/portallive/docs/1/15951696.PPT
There’s bias on both sides (the purveyor of a new belief and the user who has a “gut” understanding) in this slide in particular. Who wants to budget from their own position anyway? People hate that. The trick are teh techniques we can use to make them move from their current point of view.
