Scientists and engineers who work with high-density sensors face data problems that can make getting insights from data more challenging. Whether you’re trying to make sense of information from industrial devices living on the Internet of Things or monitoring health and fitness parameters, JMP provides an ideal sandbox for sifting through noisy data to identify important patterns.
Production systems are really good at telling you what is going on right now, and applying systems of control to run business rules, prevent dangerous conditions and operate systems within predefined spec limits. But a world of insight also lives in your historical data, and JMP can serve as a no-risk sandbox for finding patterns and trends in that data. You’ve gone through the trouble of meticulously collecting and storing your sensor data – now make better use of it with JMP.
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