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, your data is “siloed”. Siloed data is a major problem for organizations that are trying to take advantage of digital transformation. Before … Read more
Much has been said about the game-changing potential of IoT technology, especially for industrial sectors. For years, IoT vendors have promised “actionable insights”… but, let’s be honest, does anybody really know what that means? Operators continue to struggle with the “pilot purgatory” problem; they’re stuck waiting on results to justify moving forward with full-blown IoT solutions. Leaders … Read more
Over the past decade, highly publicized cybersecurity breaches have revealed weaknesses in our prevailing IT security models. In 2013, Edward Snowden took 20,000 documents from the NSA without using any sophisticated devices or software. In the same year, hackers stole credit and debit card data from 40 million Target customers by exploiting a vulnerability in the retailer’s building management … 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 or … Read more
Digital transformation initiatives are full of utopian visions of beautiful dashboards that help engineers, managers, and executives make great decisions every time. But how sure can we be that these dashboards are telling the truth? Let’s talk about science for a second. Have you ever heard someone proclaim “It’s Science!” with great authority about a … 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 fingertips, and we are … Read more
When it comes to data structure, Google knows a thing or two. The tech giant basically structured the entire internet by encouraging website managers to implement certain SEO practices in order to achieve higher search rankings. Now, Google can organize millions of relevant search results in less than a second, enabling users to find exactly … Read more