calibration

Remote monitoring systems can misidentify data sources

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In our industrial Internet of Things (IIoT) data problem series, we’ve arrived at the tricky issue of misidentified data in remote monitoring systems. Misidentified data is high-quality, complete, and on time. However, the identity of the asset it represents in the remote monitoring system has been mislabeled. As a result, the misidentified data is highly … Read more

Bad data from remote monitoring leads to bad decisions

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Bad Data in IIoT

Bad data collected by a remote monitoring system can wreak havoc on industrial organizations. When prevalent in business processes and analysis, bad data creates a fundamental disconnect between what is actually happening in the field and what decision-makers think is happening in the field. Put simply, bad data misrepresents reality. It “lies” about the current … Read more