Data quality
Evaluate data quality at field and dataset level
Quality work should document validation rules, anomalies and limitations instead of implying that every source is complete.
Evidence before access
Start with a defined scope
- 01
Specify the question
Choose the country, import or export direction, period and product scope.
- 02
Review available fields
Use a sample and its data dictionary to confirm what the dataset can support.
- 03
Select delivery
Choose an offline report, structured file, online workflow or approved API connection.
Direct answer
Does validation guarantee that every source record is correct?
No. Validation detects defined issues, while source limitations and uncertain values must remain documented.
Related guidance
Review data scope and evidence
Next step