1. A computer-implemented method for determining an impact on a simulation model in creating a human resource allocation report in a modeling environment comprising a plurality of simulation models, said method including: acquiring, by a computer, performance data relating to said plurality of simulation models within a timeframe parameter and a presentation parameter, wherein said performance data includes dependency data and a simulation model score, wherein said plurality of simulation models simulate at least one of outcomes, effectiveness, penetration, utilization, or distribution of marketing strategies based upon at least one of historic, current or probability data of said marketing strategies; analyzing, by said computer, allocation data and said dependency data relating to said simulation model, having a model identifier; determining, by said computer, individual variables within a first subset of said plurality of simulation models impacted by said allocation data and dependency data, wherein said dependency data includes bidirectional pointers in a tree of said plurality of simulation models, said plurality of simulation models represented by nodes on said tree, and said dependency data provides interdependencies among said plurality of simulation models, wherein said variables are across said plurality of simulation models, 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, and wherein said allocation data and said dependency data relates to a transfer of information exchanged between said simulation model and at least one of said first subset of said plurality of simulation models or a 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, and a processing rate of said information; analyzing, by said computer, said dependency data relating to said first subset of said plurality of simulation models; determining, by said computer, individual of said variables within said second subset of said plurality of simulation models 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; propagating, by said computer, and based on said variables and said inter-dependencies, a change to a first variable to a plurality of variables among different branches across said plurality of simulation models, wherein said different branches are within at least one of said first subset of said plurality of variables or within said second subset of said plurality of variables; determining, by said computer, an impact on said first subset of said plurality of simulation models, and said second subset of said plurality of simulation models in response to said analysis of said allocation data and said dependency data; modifying, by said computer, said simulation model score based on said dependency data to create a modified simulation model score; and at least one of: modifying said simulation model or decommissioning said simulation model based on said modified simulation model score; and formatting, by said computer, said allocation data to transform said allocation data into said allocation report, according to said presentation parameter.
1. A computer-implemented method for determining an impact on a simulation model in creating a human resource allocation report in a modeling environment comprising a plurality of simulation models, said method including: acquiring, by a computer, performance data relating to said plurality of simulation models within a timeframe parameter and a presentation parameter, wherein said performance data includes dependency data and a simulation model score, wherein said plurality of simulation models simulate at least one of outcomes, effectiveness, penetration, utilization, or distribution of marketing strategies based upon at least one of historic, current or probability data of said marketing strategies; analyzing, by said computer, allocation data and said dependency data relating to said simulation model, having a model identifier; determining, by said computer, individual variables within a first subset of said plurality of simulation models impacted by said allocation data and dependency data, wherein said dependency data includes bidirectional pointers in a tree of said plurality of simulation models, said plurality of simulation models represented by nodes on said tree, and said dependency data provides interdependencies among said plurality of simulation models, wherein said variables are across said plurality of simulation models, 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, and wherein said allocation data and said dependency data relates to a transfer of information exchanged between said simulation model and at least one of said first subset of said plurality of simulation models or a 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, and a processing rate of said information; analyzing, by said computer, said dependency data relating to said first subset of said plurality of simulation models; determining, by said computer, individual of said variables within said second subset of said plurality of simulation models 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; propagating, by said computer, and based on said variables and said inter-dependencies, a change to a first variable to a plurality of variables among different branches across said plurality of simulation models, wherein said different branches are within at least one of said first subset of said plurality of variables or within said second subset of said plurality of variables; determining, by said computer, an impact on said first subset of said plurality of simulation models, and said second subset of said plurality of simulation models in response to said analysis of said allocation data and said dependency data; modifying, by said computer, said simulation model score based on said dependency data to create a modified simulation model score; and at least one of: modifying said simulation model or decommissioning said simulation model based on said modified simulation model score; and formatting, by said computer, said allocation data to transform said allocation data into said allocation report, according to said presentation parameter. 3. The method of claim 1 , wherein said formatted allocation data is displayed in at least one of a table, a chart, and a graph.