28 INDUSTRIAL ANALYTICS AW SEPTEMBER 2020
Making Sense of the Industrial Analytics Market As organizations continue to see the value in industrial analytics, making sense of the sheer amount of data produced can be a difficult task. Finding the right product and developing a proper workflow is important to get long-term use out of the system. By Beth Stackpole, Contributing Writer
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ollecting and analyzing data from industrial assets on the plant floor hardly registers as cutting edge. For years, plant floor managers and their counterparts have analyzed industrial machine data to be alerted to production snafus, identify quality glitches, or as a guide for tweaking assets with the goal of boosting performance. As industrial assets are digitized with sensors and connected via the Industrial Internet of Things (IIoT), manufacturers still want to analyze machine data to create production
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efficiencies, reduce downtime, rein in costs, and promote better decision making. Yet the goal posts have shifted significantly when it comes to scale. Instead of a plant manager or maintenance worker analyzing historical data from a specific asset in a spreadsheet to make a modest change down the road, today’s manufacturers are striving for wholesale transformation. Their aim is to create flexible and intelligent operations where networks of assets and systems can be holistically automated and optimized in near-real-time.
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