Datanovel know-how
Is there a real problem with your supplier master data?
A quick check can reveal a problem. A good assessment explains its significance.
An apparently tidy vendor file may still contain outdated names, hidden duplicates, unreliable contacts or records linked to the wrong entity. Conversely, a blank field may be perfectly appropriate for a particular supplier.
Begin with the checks your data supports
Completeness and format checks are useful first steps. They reveal missing required information, inconsistent identifiers and values that cannot support a planned process. Segment the results by supplier type, country, system and business use.
This is enough to identify some practical improvements and estimate part of the remediation work. It is not enough to conclude that every valid-looking record is current or correctly identified.
Investigate what validation cannot see
Names can change. A supplier may trade through several legitimate records. A different entity may appear in tax or contact information. These questions require corroborating evidence and operational review.
Bring the data findings together with examples of failed communication, repeated onboarding, invoice queries and spend-reporting inconsistencies. A discrepancy should lead to a focused investigation, not an automatic conclusion that the supplier is unsuitable.
Choose the next step by consequence
There is no universal percentage at which a vendor file becomes safe or fit for every purpose. Set acceptance criteria around the intended process and the impact of unresolved exceptions.
Datanovel can use an initial health check to define a deeper assessment: what needs verification, which supplier groups deserve priority, and which changes are likely to remove recurring operational work.