As compositional analysis has become more routine in archaeological investigations, deficiencies in the numerical techniques used for data reduction and summary have become more apparent. A brief overview of techniques commonly used in the analysis of compositional data is presented as well as an example illustrating how data modeling (as opposed to data summary) can facilitate both the recognition of relevant data structure and inferences from data structure to underlying natural and cultural processes.