Several factors can contribute to incomplete data:
Data Entry Errors: Manual entry mistakes are a common cause. Integration Issues: Problems with integrating data from various sources can lead to gaps. Lack of Data Standardization: Inconsistent data formats and standards can make integration difficult. User Opt-Outs: Some users may choose not to provide certain information.