Lessons from Germany on digitising manufacturing processes. Easier in a Greenfield site, harder on an existing brownfield site. Typically, transformation will be a mix of both.
Key lesson is the need to eliminate errors in data- don't just replicate old processes but take the change to innovate for the future.
Old industrial reporting systems will invariably spawn errors. Don't repeat the errors
Start with the customer and work backwards.
When digitizing existing processes, it is important to ensure that they are transferred completely and with great care. Errors in transmission from the analogue to the digital world can lead to far-reaching consequences. All gaps or errors in process knowledge are taken over when linking to IT processes. Experts estimate that up to could be 40 percent of the data in IoT environment inaccurate, poorly or incorrectly and thus useless . A typical source of error is duplicate records or other formatted data based on old industrial reporting systems, for example. Even when attaching measuring sensors, care must be taken to ensure that the measured values are correct and not distorted by external influences
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