2016 Dec Opinions, Interviews, Big Data, etc.

Top Reasons Why Big Data, Data Science, Analytics Initiatives Fail

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We examine the main reasons for failure in Big Data, Data Science, and Analytics projects which include lack of clear mandate, resistance to change, and not asking the right questions, and what can be done to address these problems. By Ankit Mahajan, Data Scientist. I have been working as a Data Science Professional for last 11 years and had the…
Original Post: Top Reasons Why Big Data, Data Science, Analytics Initiatives Fail

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