Normalizing data for the purposes of marketing intelligence is the process of organizing data from disparate data sources — often representing different channels and data models — into a centralized repository with data structures that can support all the necessary data regardless of source. Normalization also makes the assumption that the data is de-duplicated and redundancy is reduced, and all important dependencies between the data set are captured in the most efficient way possible
