Model-driven DSS emphasize access to an manipulation of a model. Model-driven DSS use data and parameters provided by decision makers to aid them in analyzing a situation, but they are not usally data intensitive. Very large databases are usally not needed for model-driven DSS, but data for a specific analysis may need to be extracted from a large database.