Data cleaning & validation
Identify and address duplicate records, inconsistent formats, incomplete data, validation gaps and unreliable reporting inputs.
Typical deliverables
- Data-quality assessment with prioritised findings
- Repeatable cleansing and validation rules
- Cleaned datasets and exception reports
- Recommendations to prevent recurring issues