Datanovel know-how
Build an evidence-based view of supplier data quality
Make the issue visible, its business consequence understandable and the next action specific.
Procurement, finance and transformation teams often see different symptoms of the same supplier-data problem. A useful assessment connects those symptoms to the records, relationships and processes behind them.
Agree what the assessment needs to establish
Define the supplier population, systems, business priorities and available evidence. The scope might focus on migration readiness, more reliable spend consolidation, recurring onboarding work or supplier information that has become outdated.
Assess data quality against the fields and relationships needed for those purposes. Include overlaps and inconsistencies across systems where that is relevant to the decision.
A tangible result
- A quality baseline with clear definitions and eligible populations.
- An exception register linked to supplier records and supporting evidence.
- A view of supplier identities, unnecessary duplicates and necessary relationships where the data supports matching.
- Prioritised actions, dependencies and unresolved questions.
- A practical basis for estimating cleansing effort and selecting process improvements.
Connect the findings to a decision
A missing identifier matters differently when it affects an inactive record, a supplier due for payment or a business central to a migration. Explain the consequence and the available response, rather than treating every exception as equally urgent.
The assessment can support a business case for targeted remediation, additional capacity or a change to the onboarding process. Potential benefits should be linked to your observed workload and operating conditions, with assumptions kept visible.