A molecule rarely travels in a straight line. The chemistry is defined in one place, scaled in another, manufactured in a third and finished in a fourth … and at every handoff the knowledge that made it work is supposed to travel with it.
But too often that data is inaccessible because the work achieved during previous stages is not inherited digitally.
Data is repeatedly deconstructed, reconfigured and rebuilt. Processes end up being redeveloped from scratch.
The result is rework at scale that adds complexity and delays time to market.
This, however, is not simply a technology issue. This is a problem of accessible knowledge flow.
Rob Innes, Director of Data and AI at DTG, reports.
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