Research and design use of JMP
Overall Satisfaction with JMP
JMP is used in Research and develepment department and the full engineering staff. The software addresses data manuipulation and analysis for experimental design and process improvements.
Pros
- JMP has a good menu driven 'wizard like' method for data setup and collection. Base analysis is easy to obtain and review.
- Large data sets from external sources can be loaded into JMP for tracking and review. Good method for an analysis engine coupled to database management
- Canned routines are easier to use and less intimidating than using the full SAS packages and modules.
Cons
- Design of experiment software is sometimes difficult to manipulated and modify for screening or surface state analysis.
- Canned graphics are a good starting point but adaption for presentations or memos is not the best format. 3D graphics can be powerful but they are very difficult to navigate
- Higher orders of statistical analysis and regression is desired.
- I would love to see an integration or handshake from JMP to the SAS platform
Preference to JMP is driven more by my personal affinity for SAS and its application capabilities.
- JMP is the data analysis package for all analysis
- training is time constraint - sometimes it feels like I need a full time trainer and expert to keep others up to date.

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