This paper provides a detailed technical review of JMP 17 Pro, the latest iteration of the statistical discovery software from SAS Institute. Focusing on the intersection of data visualization and advanced analytics, this review highlights the significant architectural shifts introduced in version 17. Key areas of focus include the automation of routine tasks via the Enhanced Log, advancements in reliability analysis, upgrades to the JMP Pro predictive modeling suite (specifically Neural Networks and Profilers), and the modernization of the user interface. The paper concludes with an evaluation of JMP 17 Pro’s utility in both academic research and industrial quality engineering contexts.
An interactive feature that helps users find specific menu items, tutorials, or analysis tools directly within the interface. jmp 17 pro