Defining success – Four secrets of a successful data science experiment

03 Jun 2016 By Roger Peng Share this on → Twitter | Facebook | Google+ Editor’s note: This post is excerpted from the book Executive Data Science: A Guide to Training and Managing the Best Data Scientists, written by myself, Brian Caffo, and Jeff Leek. This particular section was written by Brian Caffo. Defining success is a crucial part of managing a data science experiment. Of course, success is often context specific. However, some aspects of success are general enough to merit discussion. A list of hallmarks of success includes: New knowledge is created. Decisions or policies are made based on the outcome of the experiment. A report, presentation, or app with impact is created. It is learned that the data can’t answer the question being asked of it. Some…


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