Item-Master-Data-Rationalization

Bad master data that is inaccurate, duplicated, incomplete, or out-of- date hampers the accuracy of analysis, causes expensive exceptions that must be resolved, and prevents refinement of processes. Under these conditions, frustrated employees tend to continue their manual processes and future efforts in collaboration, integration, and automation become more difficult, due to employee resistance.

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