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Re:Practical and robust anomaly detection in time series by bglazer on Wednesday January 07, 2015 @08:48AM (#8850429)
That's hard to say. I work in a large (>10,000) person organization, so the loss estimates usually move up the management onion to the point where I have no idea what happens to them.

I know that rigorous estimates are useful to convince management that spending money on reliability is a net-positive investment. For example, migrating these servers will cost $10,000 but they went down for 30 minutes yesterday and we lost $1M.

I do worry that they'll be used to publicly shame people when they make mistakes that bring down systems, but I'm confident that my management will be responsible and mature enough not to do that.

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