Master data quality is not an abstract data-management concern. In SAP support, it is often the hidden cause behind blocked processes and repeated tickets.
Reviewed
Where this fits
Master data quality sits behind sales, procurement, inventory, finance, logistics, planning, and reporting. When support only fixes transaction symptoms, the same data problem returns.
Common issues
Required views or organizational extensions are missing.
Names, addresses, units of measure, payment terms, partner roles, or classifications are inconsistent.
Ownership is unclear, so support corrects records one by one without changing governance.
Diagnostic questions
Which master data object controls the failed process step?
Is the problem missing data, inconsistent data, duplicate data, wrong ownership, or stale migration residue?
Can the issue be prevented with validation, workflow, stewardship, or monitoring?