Enterprises trying to use the internet of things already face a deluge of data and a dizzying array of ways to analyze it. But what happens if the information is wrong?

Bad data is common in IoT, and though it’s hard to get an estimate of how much information streaming in from connected devices can’t be used, a lot of people are thinking about the problem.

About 40 percent of all data from the edges of IoT networks is “spurious,” says Harel Kodesh, vice president of GE’s Predix software business and CTO of GE Digital. Much of that data isn’t wrong, just useless: Duplicate information that employees accidently upload twice, or repetitive messages that idle machines send automatically. 

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