Remote monitoring systems can misidentify data sources

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

Edge compute solves the industrial low-res data problem

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 covered are symptoms of the Digital Age. We have more data than ever before at our … Read more

High latency networks are throttling industrial productivity

Another data issue in our series of Industrial IoT data problems is that of Latent Data. High latency is limiting productivity for industrial companies across the globe. Simply put, latent data is data that doesn’t show up quickly enough to have value. Or, at the very least, its value is diminished. Even if sensors and … Read more

Data from SCADA systems is incomplete

Continuing with our data problem blog series, we tackle the topic of incomplete data, another challenge many businesses face when considering digital technologies like SCADA systems to improve their business processes. Incomplete data is distinct from the problem of missing data. Missing data is information that companies don’t collect because it’s either unavailable or too … Read more

Bad data from remote monitoring leads to bad decisions

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

How to monitor remote assets: Discover Missing Data

One of the biggest data challenges facing industrial companies trying to learn how to monitor remote assets is the problem of missing data. What do we mean by missing data? Basically, it’s valuable information about our people or assets that just isn’t being collected because the perception is that doing so would cost too much … Read more

The 10 Data Problems that Plague Industrial IoT

The Internet of Things (IoT) is transforming the world in many ways. Smart devices, machine-to-machine interactions, and edge computing are enabling us to digitize physical assets and unlock new efficiencies across numerous markets.  However, progress has been slower than anticipated. Businesses are struggling to scale IoT deployments, especially in the industrial space. According to McKinsey, … Read more