It isn’t always easy for manufacturers to determine what data is important for smart manufacturing data analytics and to ensure that the right data is being collected. In many cases, the interfaces to data collection sources are complex, and data isn’t standardized. Manufacturers often require vendor assistance to retrieve data from a machine and then invest significant time and resources in normalizing the data so it can be utilized effectively. Indeed, an MIT study estimates that 70% of data generated in high-tech manufacturing processes is not used! Read the ebook to learn how to put your data to work.
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