Speed and simplicity make all the difference. Just as the sensors and instruments are largely the same, users still want to use the information they generate to make their processes more efficient, optimized and profitable. What’s changed and continues to upgrade rapidly is what’s going on in the middle—faster, more accessible and easier data analytics. As usual, what still needs to catch up is users’ understanding of today’s data analytics capabilities and how to take advantage of them.
In this series of articles, you'll learn how to do just that.
Useful analytics start with a plan
"The ability to get larger amounts of data faster is a competitive advantage for anyone if they know how to make strategic use of that data.” Steve Beck, senior chemical engineer at Huffman Engineering Inc., explains why you need a strategy for data analytics. Read more.
Prioritizing profiles and projections
As the largest natural gas transporter in Colombia, Transportadora de Gas Internacional (TGI) in Bogotá safely maintains a 4,000-km pipeline network with a compression capacity of more than 193 hp. Here's how TGI linked Emerson’s OpenEnterprise SCADA system to its PipelineManager simulation software to create a digital twin, which can be accelerated to let users project future operations. Read more.
Seeing deeper, optimizing better
Longstanding data analytics solutions can be extended by new and more digitalized tools that identify details and opportunities that weren’t visible before. Here's how Guardian Glass uses Seeq software to optimize its transitions in it float glass and coating processes. Read more.
Clipboards to the cloud: a data analytics backstory
Heath Stephens, PE, digitalization leader at Hargrove Controls & Automation, provides context about how data analytics has evolved over the years. Read more.
Data analytics: Seeing through confusion
“Users still want to do everything better, faster and cheaper. They want to increase first-pass yields and productivity, reduce costs, and improve quality, output and margins. However, with more data and sources, they can begin to see interactions they couldn’t see before—even though it’s difficult to separate the wheat from the chaff.” Maverick Technologies shows how analytics can enable services, too. Read more.
Stocking the data buffet for the analytics beast
To keep on serving up all the signals and results that analytical teeth need to chew on, several suppliers have developed software and support products to keep the all-you-can-eat data portions coming. Read more.
