In 1993, John Chambers introduced the terms Greater and Lesser Statistics to contrast the culture associated with the learning from data concept of applied statistics (a kind of data scientist) with the culture of developmenting statistical methodology that is primarily confined to an academic setting.
Big data, and data scientist seem to be the buzz words today, but the issues are the same.
What terms are most commonly used today to describe this cultural difference?
Article Greater or lesser statistics: a choice for future research
Good question. I'm not sure if there is consensus on a lot of phrases related to big data, data scientist, analytics, etc.. I'll be interested if terms differentiating uses of these will have reached consensus. I think there do seem differences between those describing the statistical methods in for example Hastie et al. and those describing the potential benefits of using large amounts of unstructured data to, for example, understand what markets their products have reached.
btw. By Hastie et al. I mean Hastie, Tibshirani, & Friedman's Elements of Statistical Learning: Data mining, inference, and prediction, which is available http://www-stat.stanford.edu/~tibs/ElemStatLearn/download.html.
Hi,
You may find it useful:
Why Do We Need Data Science When We’ve Had Statistics for Centuries?
http://blogs.wsj.com/cio/2014/05/02/why-do-we-need-data-science-when-weve-had-statistics-for-centuries/
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