A useful comparative look at analytic disciplines. Reasonable descriptions, also pointers to more resources in each. Shows some of the confusion that is coming from industry groups, academia and practitioners. Current hype cycle also drives what we call ourselves. Just to get noticed among all the noise. For example, my academic background is in Operations Research. That term is not understood by many today, but embodies both data analytics and decision science. Those terms also often use methods in statistics, machine learning, data visualization and business intelligence.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment