Three Problems in Data Science

See on Scoop.itData Nerd’s Corner

…and three solutions from past experience Rob Klopp, had an interesting response to my “Data Science Isn’t a Fad” post, where he asks a question that has been weighing on my mind as well: Why…

Carla Gentry CSPO‘s insight:

Yesterday, I spent an hour explaining something I thought was simple to smart people who are not data scientists, and we all left the table frustrated. I work with a great management team who trusts my judgement. Not everyone is that lucky. An organization’s management sets priorities, allocates resources, and sets expectations for how each department contributes. If they don’t understand what a data scientist does, they can’t do any of those things. Any project that doesn’t have the right resources, enough time, or the proper support from management can fail disastrously. When one of those disasters is based on something new and “exciting” like data science, it’s easy for high expectations to turn into bitter disappointment, and a “won’t get fooled again” mentality.

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