What are threats to data completeness?

Threats to data completeness include data entry errors, which can result from human mistakes or system malfunctions, leading to missing or inaccurate information. Poorly designed data collection processes may also contribute to incomplete datasets, as they might not capture all relevant information. Additionally, integration issues when combining data from multiple sources can result in gaps, while inadequate data governance practices may fail to enforce standards that ensure completeness.