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JMP Pro

Score7 out of 10

13 Reviews and Ratings

What is JMP Pro?

JMP Pro offers all the capabilities of JMP, plus advanced features for more sophisticated analysis including predictive modeling and cross-validation techniques.

Categories & Use Cases

Powerful tool to quickly perform basic and complex statistical analysis

Pros

  • JMP Pro does have a lot of features and functionalities that other similar software do not provide. No prior coding experience is needed since JMP pro offers basic and complex analyses by just clicking.
  • The interface is intuitive. You can see how your results change in a plot by simply looking at the parameters in JMP Pro. You do not need to export the updated results to excel to plot again.
  • A tremendous amount of very good tutorials available for beginners.
  • Datasets saved as csv, xlsx, dat can be easily pulled into JMP Pro.

Cons

  • JMP Pro is a really powerful tool for doing statistical analysis. Although the click environment does not require coding experience, new learners will still need to take a long time to know the parameters in the function before performing any analysis.
  • The output from JMP Pro analysis (regression analysis) is not always easy to understand, especially when the parameters are programmed differently with the other similar software.

Return on Investment

  • It helped me put together meteorological data from different locations to show which area is the optimal location for wind energy.

Other Software Used

Tableau Public, MATLAB

JMP beats the competition in analytics capabilities and cost. Great value for a marketing researcher.

Pros

  • Several types of segmentation models
  • Conjoint design
  • VERY user-friendly

Cons

  • Statistical testing columns in cross tabs. You have to do that one at a time or write a script.

Return on Investment

  • None. It's cheaper than SPSS. You could probably get by with the basic JMP package.

Alternatives Considered

IBM SPSS, Tableau Desktop, MySQL and Teradata Database

Other Software Used

IBM SPSS, MySQL