Model-Driven DSS
Model-Driven DSS emphasize access to and manipulation of a model. Simple statistical and analytical tools provide the most elementary level of functionality. In general, Model-Driven DSS use complex financial, simulation, and/or optimization models to provide decision support. Model-driven DSS use data and parameters provided by decision makers to aid decision makers in analyzing a situation. Stock, bond or mutual fund data bases are needed
for many Model-Driven Investment DSS.