Data cleaning can be challenging due to several factors:
Volume of Data: The sheer amount of data can make cleaning a daunting task. Complexity: Data from multiple sources can have different formats and standards. Resource Intensive: Data cleaning can be time-consuming and require significant resources. Change Management: Implementing new data standards and practices can face resistance within the organization.