As data accessibility increases, consistent and dynamic processes for data analysis have become increasingly critical. JMP Scripting Language is an essential tool in ensuring standards of analysis and creating supporting visual tools to enable multiple analysts to consistently repeat proven analytical methods in a common manner. Creating an advanced script can allow a team to integrate multiple platforms with diagnostic tools in order to transfer seamlessly between different types of related analysis. Building predictive cost models is a popular tool in manufacturing used for negotiations, design for cost, estimate check-fixtures, etc. These models are commonly built in the Fit Model platform using either simple regression or the Stepwise application. However, as more data is available, the analysis can grow more complex, requiring the use of the Nonlinear platform. Complex, proprietary formulas must be created by hand, as they do not exist in the JMP model library – a time-consuming and error-prone task. Proper scripting increases efficiency and reduces errors; a click of a button can transfer a model between platforms with ease and accuracy. Integrating diagnostic tools alongside these platforms allows for more time doing value-added analysis instead of tedious tasks.