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Data has always existed in the manufacturing environment – in the temperatures, pressures, sounds, and appearance of machinery – but is has not always been easy to access it. Manufacturing professionals would spend years, if not decades, gaining the expertise that would help them understand the meaning of certain measurements and observations. The Industrial Internet of Things (IIoT) promises to revolutionize this learning process by turning such observations into quantitative trends that can be leveraged for decision-making. Consequently, many manufacturers are eager to figure out the best way to dip their toes into the water of IIoT. In this post, Omron looks at some of the overarching strategies for making the most of this new way of using data.