Understanding the stages and having a strong vision of where you need to go are essential first steps
Over the past 20 years, the process industries have invested heavily in automation and plant information systems so that the data are now accessible. As a result, we should now be able to put it to productive use. Or can we? The challenge with raw data, no matter how accessible, is that they are just data, and data still require a lot of work before they can be turned into knowledge. In most cases, the data need to be validated, analyzed and converted into a knowledge level that is actionable. And this can still require a significant investment of time and resources.
The key performance indicator (KPI) has been the first step in putting data into a context that is more aligned with organiz
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