Common challenges in data integration for large organizations include data quality, consistency, and compatibility issues. As organizations deal with multiple data sources, ensuring that disparate systems communicate effectively can be complex. Poor data quality can lead to inaccuracies, undermining decision-making processes. Furthermore, aligning data formats and structures often requires substantial technical expertise and resources. Even with advanced integration technologies, organizations may still face resistance to change from users accustomed to existing workflows. Addressing these challenges necessitates a well-defined integration strategy, continuous monitoring, and a commitment to data governance practices.