Despite its benefits, data standardization comes with several challenges:
Data Silos: Different departments often use disparate systems and formats, making standardization difficult. Data Volume: The sheer amount of data generated can be overwhelming, complicating the standardization process. Data Quality: Inconsistent or incomplete data can hinder standardization efforts. Resource Constraints: Standardizing data requires time, effort, and expertise, which may be limited in some organizations. Change Management: Implementing standardization processes often involves significant changes in workflows and systems, which can face resistance from employees.