Cameron Archer 
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
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
In the industrial space, data silos are everywhere. Many industrial companies today still rely on cumbersome data management systems that render operations data inaccessible to those who need it most. In other words, the data is “siloed”. Siloed data is a major problem for organizations that are trying to take advantage of digital transformation. Before … Read more
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
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 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
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 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
Not sure if you noticed, but the California Department of Conservation Division of Oil, Gas, and Geothermal Resources, (DOGGR) has a new name! As a result of new state legislation, Assembly Bill 1057, the division, which oversees and administers regulations for energy producers in California, announced on January 1st that it had changed its name. … Read more