We hear it many times after disaster strikes: the warning signs were there, but the decision-maker didn't see them. Or, sophisticated technology had been installed, but no one had properly learned to use it. Such failings are often chalked up to "user error" or "problems between keyboard and chair."

In catastrophic failures that have involved analytics, we've come to see that sophisticated models won't do us much good unless decision-makers are able to interpret, understand and act on the results appropriately.

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