Several challenges can arise during cross checking:
1. Data Quality: Poor quality data can lead to incorrect conclusions, making cross checking difficult. 2. Data Availability: Limited access to multiple data sources can hinder the process. 3. Time and Resources: Cross checking can be time-consuming and resource-intensive. 4. Confidentiality Issues: Ensuring the confidentiality of sensitive data while sharing it for verification can be challenging.
