The top 6 myths of PLM
There are many interpretations — misinterpretations — of what PLM is about: how to define it, how to implement the tools supporting it, who it is for, who needs to understand it, and most importantly, how to realize value from it. Others argue about how to sell it and how it relates — or doesn’t relate — to the underlying tools and technologies used to implement it. This post explores the six most commonly encountered myths about PLM.
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