How to Monitor and Predict Operational Performance with Digital Analytics [PODCAST]
Power plants are capturing operational data in ever-increasing amounts. However, analyzing all the data can be challenging. A number of tools are available that can help.
In this episode of The POWER Podcast, two experts from one technology provider explain how big data can be analyzed to identify trends and create actionable information to solve production issues. Their company’s solution allows users to troubleshoot problems, and monitor processes and assets, in real-time, so operators can make better decisions, faster.
“We want the user to have a really good springboard to be able to jump into analytics,” said Nick Petrosyan, data analytics engineer with TrendMiner. “If you’re going to be doing some type of analytics or you’re troubleshooting something in your process, it’s usually because one of your KPIs [key performance indicators] are off. So, we would like to have those KPIs somewhere very easy for them to access and see, so that they start doing more analytics in their day-to-day job, and troubleshooting and solving more problems.”…