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 need to invest significant time and resources in normalizing the data so it can be utilized effectively in their manufacturing analytics. Indeed, an MIT study estimates that 70% of data generated in high-tech manufacturing processes is not used! Either the data was not collected properly or there is no platform that can use the data in an intelligent manner to drive informed business decisions.
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