[slideshare id=30767715&style=border: 1px solid #CCC; border-width: 1px 1px 0; margin-bottom: 5px; max-width: 100%;&sc=no]
Data scientists often face ambiguous challenges and, as a group, should use and make use of the design process to address these challenges. These slides briefly make the case for using the design process.
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I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress