Datanovel know-how
Track improvement in the live supplier data
Closing tasks is useful. Establish whether the underlying records are actually becoming more reliable.
Daily case management helps the team organise its work. A recurring assessment of the live data answers a different question: whether the programme is improving quality while new suppliers and changes continue to enter the systems.
Keep a stable baseline and explain population changes
Define the records, entities, checks and applicable requirements at the start. At each reporting point, show what has entered or left the population and whether the rules have changed.
Use both a comparable cohort where useful and the current operational population. Otherwise a percentage may improve because difficult records were excluded, or decline because new suppliers were added, even when the original cleansing work is progressing.
Separate corrections from new and recurring issues
| Movement | Affected records |
|---|---|
| Records with issues at the start | 300 |
| Fully resolved | −90 |
| New records with issues | +25 |
| Previously ready records with new issues | +15 |
| Records with issues at the end | 250 |
In this example, 90 records were resolved but the net reduction is 50. The difference directs attention to incoming data and recurring problems. The movements are disjoint and no records leave the population in this illustration.
Track field-specific bottlenecks alongside record-level readiness. One record can contain several issues, so adding field exception counts does not produce a unique supplier or record count.
Put cases behind the summary
Each indicator should lead to the affected records, the rule or source behind the finding, the owner and the required action. Progress should reflect the approved correction reaching the relevant live system, not only a task being marked complete elsewhere.
For supplier identity, that may mean a verified identifier stored in the agreed place and related records linked. For payment information, distinguish structural checks from the separate verification and approval process.
Make forecasts useful and conditional
Recent progress can indicate when a backlog may clear, but new issues, changing case complexity and supplier response delays can alter the result. Show the observation period and assumptions beside any projection.
Use the forecast to prompt a decision about resource, priority or process. Do not present a straight-line completion date as a guaranteed outcome.
Support operational and executive views
The team needs assignments, blockers and case detail. Stakeholders need the change in readiness, the main dependencies and the decisions they can help resolve. Use a shared evidence base for both views.
A recurring check-up can also show supplier-record and legal-entity counts, purposeful and unnecessary duplicates, identity and contact issues, payment-data exceptions and changes in registered business status. Keep these measures distinct and comparable to the previous period.
Datanovel implements the checks and reporting within the client environment. Agree the cadence and source coverage around the operating need; weekly reviews may suit an active cleansing programme, while ongoing monitoring may follow a different schedule or event trigger.