The subject matter of a simulation investigation or the sophistication of a model often dictates what type of data need to be collected from each simulation run and the amount of data required to perform an appropriate analysis. Furthermore, the accuracy of the simulation results depends on the suitability of the distributions that are used as inputs to the model, making input analysis and distribution fitting one of the critical considerations in the design and construction of a simulation model. Simulation Studio is integrated well with both SAS and JMP to take advantage of the rich and powerful data processing and analysis capabilities that are available in each package. This section provides an overview of the data management capabilities in Simulation Studio and describes how Simulation Studio interacts with both SAS and JMP. Before interacting with SAS or JMP from Simulation Studio, make sure the appropriate server has been launched. See the section Launching Local SAS and JMP Servers in Chapter 3: Introduction to SAS Simulation Studio, for details.