Data Science vs. Analytics -- Approaches to Problem Solving

Sponsored Sessions Ballroom H
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Data Science has created quite the movement in the data world, yet confusion between data science and analytics still remain across the enterprise. Rather than approach the subject talking about semantic differences between the two, we will discuss the topics as they relate to solving problems, how businesses are approaching them and what you can start doing with data science.

This session is sponsored by Accenture

Photo of Nick Kolegraff

Nick Kolegraff


Nick is the lead data scientist at Accenture working with executives to build global data science
capabilities across the company. Nick and his team operate like Navy Seals focused on quick
win execution. They are regularly inserted into Fortune 500 companies with ugly data and
limited infrastructure. In a short span of time they work with executives to develop strategies
around data science and then rapidly assemble and deploy the solutions. Engagement with a
wide variety of business problems and domains has led Nick to hone his tool set for efficiency.
He also founded the Data Science Linux project, a clean cut linux distribution for data scientists.
Nick holds a BS in statistics and a BA in computer science from the University of Iowa.

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John Kaehler
02/28/2013 4:23am PST

Please elaborate on what the controversy is all about.


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