VISUALIZING DATA MODEL SENSITIVITY TO VARIATIONS IN PARAMETER VALUES

A method that facilitates optimization analysis and sensitivity analysis of a data model comprises: receiving first data identifying a value function, parameters for the value function, and one or more specific parameter values for one or more of the parameters; storing a data model based on the value function and the specific parameter values; determining which parameters of the data model are capable of taking variable values; receiving second data identifying one or more selected parameters; receiving third data specifying a value selection approach for each of the selected parameters; determining a plurality of result values by substituting, based on the value selection approach, a plurality of input values for each of the selected parameters and evaluating the value function using the selected parameters and the substituted values; and generating and causing displaying a table of the result values.