Measuring data completeness involves several metrics:
1. Field Completion Rate: The percentage of non-empty fields in a dataset. 2. Record Completeness: The proportion of records that have all required fields filled. 3. Data Quality Audits: Regular audits can help identify and rectify gaps in data collection.
