Analytics

When Human Judgment Works Well, and When it Doesn’t

07th Jan `14, 09:31 AM in Analytics

My last post here, the descriptively-titled “Big Data’s Biggest Challenge? Convincing People NOT to Trust Their Judgment,” generated…

BDMS
Guest Contributor
 

My last post here, the descriptively-titled “Big Data’s Biggest Challenge? Convincing People NOT to Trust Their Judgment,” generated a fair amount of commentary. So I think it’s worthwhile to devote a couple follow-on posts to the reactions, questions, and objections raised in response to my contention, which was (and is) that we should generally be relying a lot less on the judgments, diagnoses, and forecasts of human ‘experts,’ and a lot more on the outputs of cold, hard, data-driven algorithms.

A good place to start is with the simple question of where this contention comes from — why am I so convinced that we should be relying less on experts and more on algorithms? The simple answer is that both the theory and the data support this conviction.

Read More
MORE FROM BIG DATA MADE SIMPLE