MAY 3, 2011 11:01am ET

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Data Science – Part 2


(Editor's note: Click on the following link to read the first installment of Steve's blog, "Data Science - Part 1")

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Comments (3)
Where's the science? What a pretentious name "data science". Experimenting with data has long been practiced on Wall Street. Is it only now that it has been "discovered" on Main Street?

According to this comparison to BI data science consists of inspirational self-absorbed adolescents. This sounds just like Wall Street mavens and look where that got us. I think DS is a lot of BS hiding under the guise of JS (junk science).

Posted by Richard O | Wednesday, May 04 2011 at 1:25PM ET
Keep It Simple seems genuinely threatened by the mere existence of a different class of data workers. That's a shame because she might have a lot to bring to the table for the younger generation to learn from.

For me the primary difference between BI and DS is cultural as the author identified. There's no question that it's a new crop of fresh minds and they likely have entirely different motivations for doing what they do than the traditional BI world.

It's really the difference between inductive and deductive reasoning. BI folks want to run models on well known domains to achieve an intelligence advantage over their competitors. DS folks (really "open data folks") want to create new models to discover orthogonal domains. Some projects will succeed and others will fail.

For those who are more interested in success than failure I would suggest you Google for 'goldcorp fast company' or possibly 'flightcaster takes off' or even 'open data public purse'.

Posted by Pete F | Monday, May 09 2011 at 6:28PM ET
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