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Thursday, 22nd September 2011

Building Data Science Teams: The Skills, Tools, and Perspectives behind Great Data Science Groups

Source: O'Reilly Media, Inc.

From the report:

[The] increase in the demand for data scientists has been driven by the success of the major Internet companies. Google, Facebook, LinkedIn, and Amazon have all made their marks by using data creatively: not just warehousing data, but turning it into something of value. Whether that value is a search result, a targeted advertisement, or a list of possible acquaintances, data science is producing products that people want and value. And it's not just Internet companies: Walmart doesn't produce "data products" as such, but they're well known for using data to optimize every aspect of their retail operations.

Given how important data science has grown, it's important to think about what data scientists add to an organization, how they fit in, and how to hire and build effective data science teams.

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Peggy Garvin, of Garvin Information Consulting, is the author of United States Government Internet Directory (Bernan Press) and Real World Research Skills, 2009 (TheCapitol.Net). In her 20 years in the information business, Peggy has managed electronic information products and services in a variety of environments, including commercial publishing, e-commerce, law firms, and the Congressional Research Service of the Library of Congress. Peggy's work has been recognized with the 2011 SLA Dow Jones Leadership Award. She has a Masters of Library Science degree from Syracuse University School of Information Studies.

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