Description: Harmonization in the context of data integration refers to the process of ensuring that data from different sources is consistent and compatible with each other. This process is crucial in data integration, as organizations often handle information from various databases, systems, and formats. Harmonization involves standardizing data, which includes normalizing formats, eliminating duplicates, and resolving conflicts in nomenclature. By achieving effective harmonization, data analysis is facilitated, information quality is improved, and decision-making processes are optimized. Additionally, harmonization allows data to be more accessible and usable for different applications and users within an organization, ensuring that everyone works with the same information base. This process is not only technical but also requires a deep understanding of business contexts and user needs, making it a multidisciplinary task that combines technology, data management, and domain knowledge.
