What happens when we rely on information that we wrongfully believe is accurate?

“At What Temperature Do You Really Have a Fever?,” The Wall Street Journal, April 12, 2016 D1.  Doctors look to a crowdsourcing app to redefine the temperature at which one has a fever.  Apparently, it’s not 98.6 for everyone, and it depends on the time of day; the 98.6 number was established in 1868.

Doctors make treatment decisions based on your temperature.  Do business decisions get made based on information that is out of date?  What are the key assumptions you rely upon?

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Filed under Analytics, Business Case, Data quality, Information, Management, New Implications, Risk, Use, Value

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