Data readiness checklist
Checklist to confirm data is available, clean, permitted and secure before AI build starts.
Data Readiness Checklist
- Data sources listed with owners (Oracle Fusion modules, APEX tables, files, external APIs)
- Access approved in writing by the data owner
- Sensitive data classified (PII, financial, health) and masking agreed
- Data residency confirmed (e.g. data kept in India / in-region)
- Volumes and history available (minimum 12 months for forecasting use cases)
- Quality profiled: completeness, duplicates, invalid codes
- Labelled examples or ground truth available for evaluation
- Refresh frequency and pipeline defined (OIC, BICC, REST)
- Retention and deletion rules agreed
- Test data set separated from build data



