Patent ID: 8160850

Claim:
A method for evaluating performance for a plurality of simulation models, said method including: analyzing, by a computer for evaluating performance for said plurality of simulation models, dependency data from a simulation model, having a model identifier; determining, by said computer, first variables within a first subset of said plurality of simulation models, wherein said first subset of said plurality of simulation models is impacted by said dependency data, and said dependency data provides interdependencies among said plurality of simulation models, wherein said first variables are across said first subset of said plurality of simulation models, wherein said plurality of simulation models simulate outcomes, effectiveness, penetration, utilization, and distribution of marketing strategies based upon at least one of historic, current or probability data of said marketing strategies, and wherein said dependency data depends upon and includes records having an identifier that is based upon said model identifier and that depend at least one of directly or indirectly from said simulation model; analyzing, by said computer, said dependency data relating to said first subset of said plurality of simulation models; determining, by said computer, second variables within a second subset of said plurality of simulation models, wherein said second subset of said plurality of simulation models is impacted by said dependency data, wherein said second subset of said plurality of simulation models is dependent upon said first subset of said plurality of simulation models, and wherein said dependency data relates to a transfer of information exchanged between at least one of said first variables or said second variables, and at least one of said first subset of said plurality of simulation models or said second subset of said plurality of simulation models, wherein said information includes accuracy of said information, an amount of said information, a transfer rate of said information, a processing rate of said information, and usage data for each of variable types; propagating, by said computer, and based on said dependency data and said interdependencies, a change to a select variable to at least one of said first subset of said plurality of simulation models or said second subset of said plurality of simulation models; reading, by said computer, performance data corresponding to said simulation model, wherein said performance data is impacted by said dependency data and said performance data includes model scoring data, model execution data, and dataset generation data for said simulation model; determining, by said computer, averages for said performance data for said plurality of simulation models based on defined time intervals; and creating, by said computer, a visualization of said averages.