1. A method comprising: analyzing, by a computer, dependency data from a simulation model having a model identifier, wherein said computer is configured for creating a visualization of a plurality of simulation models that depend from said simulation model; determining, by said computer, first variables within a first subset of said plurality of simulation models; 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 at least one of 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; distributing, by said computer, and based on said dependency data and according to a dependency tree, 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, wherein said dependency tree includes at least one of said first subset of said plurality of simulation models or said second subset of said plurality of simulation models, that depend from said simulation model; creating, by said computer, said visualization based on how said change to said select variable affects 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 visualization shows dependencies of said simulation model based upon said dependency data, and wherein said visualization lists at least one of said first subset of said plurality of simulation models or said second subset of said plurality of simulation models, impacted by said select variable; determining, by said computer, a number of said plurality of simulation models affected by said select variable, 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.
1. A method comprising: analyzing, by a computer, dependency data from a simulation model having a model identifier, wherein said computer is configured for creating a visualization of a plurality of simulation models that depend from said simulation model; determining, by said computer, first variables within a first subset of said plurality of simulation models; 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 at least one of 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; distributing, by said computer, and based on said dependency data and according to a dependency tree, 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, wherein said dependency tree includes at least one of said first subset of said plurality of simulation models or said second subset of said plurality of simulation models, that depend from said simulation model; creating, by said computer, said visualization based on how said change to said select variable affects 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 visualization shows dependencies of said simulation model based upon said dependency data, and wherein said visualization lists at least one of said first subset of said plurality of simulation models or said second subset of said plurality of simulation models, impacted by said select variable; determining, by said computer, a number of said plurality of simulation models affected by said select variable, 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. 14. The method of claim 1 , further including: reading performance data corresponding to said simulation model; and determining averages for said performance data based on defined time intervals, wherein said performance data includes model scoring data, model execution data, and dataset generation data for said plurality of simulation models.