APR 26, 2011 8:57am ET

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Data Science – Part 1


He may not have invented “data science” but Berkeley professor and Chief Google Economist Hal Varian certainly gave the discipline a jolt of credibility with his now oft-repeated October, 2008 quote:

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Comments (2)
This discipline involves: - Data management planning - Data visualization skill (Design skills) - Statistics skills - especially large sparsly populated data sets so think social science statistics skills.

Now since 80% of companies and 90+% of governments DO NOT do data management plans or planning based upon best practices say DAMA's DMBOK resulting in the discipline sitting in the world of black magic.

There needs to be some incredible training for all levels of management including all formal training such as MBA and MPA for this really catch on in the mainstream.

I see this more in the open data mashup think http://wheredoesmymoneygo.org/dashboard/#year=2009&focus=TOTAL&view=uk-bubble-chart

Posted by Ronald w | Thursday, April 28 2011 at 1:18PM ET
Steve great post! I look forward to the next instalment. Working for a solution provider in the statistical space I often find that the role of the data scientist you describe is actually a combination of several people: experts in the hacking part; domain experts (often with little tech savvy) and people with experience in visualization/story telling. In fact perhaps there aren't so many data scientists around because the role is a combination of different traditional professions in most organizations (although the story telling part is not a common one). What are the advantages for organizations that have individuals with all these skills? Would it make them more proactive because a single data scientist can elicit actionable insights and communicate them to others rather than relying on that outcome only through a more complex team structure?

(hey btw - what does you commenting system have against commas??)

Posted by Don M | Thursday, April 28 2011 at 7:38PM ET
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