Overall Satisfaction with JMP Statistical Discovery Software from SAS
We started out with only a small group using JMP, but due to its ease of use, we have now expanded it so that almost everyone doing any kind of statistical analysis is using JMP. It is our go-to choice for fast and easy statistical analysis products and is the favorite for new workers.
- No coding required!
- Fast, easy, and simple.
- Microsoft Excel compatible.
- Not many in-depth tools compared to other programs.
- Non-open source for quick and easy fixes to bugs.
- Expensive compared to other programs.
- Much wider use of statistical analysis across the whole organization.
- Streamlined regular data processing.
- Led to better coordination among other programs such as Excel.
The overall usability of JMP is extremely good. What I really love about it is its ability to be useable for novices who have no coding experience, which is not the case with most other, similar, programs. It can output a fast and easy analysis without too much prior coding or statistical knowledge.
Their customer service and technical support are great, providing answers and help to any inquiry in a very short amount of time. Their team is always on hand to offer assistance, and any question I have had was answered to the fullest immediately. Although the lack of open-sourcing can lead to bug issues, their support team mitigates this issue.
Compared to other, similar programs, JMP is outstanding in ease of use and ability to be used by almost anyone across an organization. It is more fluid, user friendly, and, most importantly, requires no coding experience. The only two areas where it is not as good as competitors is in its cost and comparatively more shallow analytical capabilities
JMP is a really excellent program for providing quick and easy statistical analysis of large and complex data sets. It is extremely user-friendly since it does not require coding, and this makes it a very versatile program for a whole organization. The main area where it is not quite as useful is in performing very specific or complex processes - it lacks many of those powerful tools found in other programs.