by Cameron Archer | Mar 19, 2020 | Industrial IoT, Monitoring
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...
by Cameron Archer | Mar 18, 2020 | Industrial IoT, Monitoring
Through our data problem series, we’ve covered several data challenges that industrial companies face when pursuing digital projects. Some struggle with low-quality data, while others are limited by data silos and legacy systems. Many of the specific issues we’ve...
by Cameron Archer | Mar 2, 2020 | Industrial IoT, Monitoring
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...
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