We saved millions using JMP 4.0, what can you do with JMP 15+?
December 04, 2019

We saved millions using JMP 4.0, what can you do with JMP 15+?

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Software Version

JMP Pro

Overall Satisfaction with JMP Statistical Discovery Software from SAS

JMP is in use for our Six Sigma and Lean programs at the organizational level. The software has a yearly corporate license program due to its widespread use.

Pros

  • Data exploration.
  • Visual statistical analyses.
  • Rapid acceptance by novice users.
  • Excellent public forums for assistance with uncommon challenges.
  • Outstanding technical support.
  • Great people creating a great product.

Cons

  • Interactive platforms could be better, especially when trying to use exported interactive graphics.
  • Improved 'bailout' when the user needs to stop the 'spinning ball' associated with prolonged calculations.
  • Expanded descriptions as to strategies using neural and other higher end ML programming. Hard to know the approach for choosing the number of nodes, trials, etc. The webinars are helpful but a bit more clarity would be helpful.
  • Dependent calculations made with custom formatting (e.g., use of currency) for subsequent derivative calculations should also show in the same (currency) format.
  • JMP has resulted in literally millions of dollars in ROI due to identification of correctable errors.
  • Use of JMP control charts JMP has greatly simplified and improved interpretation of Lean, FMEA, and PDSA type analyses.
  • Use of JMP has enable the testing and subsequent selection of 'best practices' saving uncounted hours in false starts based on 'collective experience'.
  • The down side is that JMP is not a 'magic box', one still has to take care in applying the tools properly. Moreover, time-consuming approaches using JMP may still be the 'order of the day', because the service (even power user) is unaware of significant shortcuts available for free on the JMP community website.
JMP is superior to the MS Excel product in its graphical presentation and graphical exploration platforms. It has minor deficiencies in the lack of a 'goal seek' formula (although one can sort of get to this using the simulation platforms in some of the higher level ML toolsets). It also lacks in the ability to create a user interface tool so useful in Access. For example, it would be nice if factors identified in a neural net or other predictive platforms could be used to create an input and result page which could be used by non-JMP users (i.e., the calculated outputs are driven by the predictive algorithms).
Support is great and give ease of contact, rapid response, and willingness to 'stick to the task' until resolution or acknowledgement that the problem would have to be resolved in a future build. Basically, one gets the very real sense that another human being is sensitive to your problems - great or small.

Do you think JMP Statistical Discovery Software from SAS delivers good value for the price?

Yes

Are you happy with JMP Statistical Discovery Software from SAS's feature set?

Yes

Did JMP Statistical Discovery Software from SAS live up to sales and marketing promises?

Yes

Did implementation of JMP Statistical Discovery Software from SAS go as expected?

Yes

Would you buy JMP Statistical Discovery Software from SAS again?

Yes

I have found it particularly well suited in exploring small to large datasets (10-10M rows) as long as you have a reasonably fast computer equipped with sufficient RAM (32 Gb+). The graphics packages are very helpful in exploring expected as well as new potential relationships between data factors. The analytic packages have been used with excellent effect and have directly resulted in identifying system-level errors or opportunities which in turn have resulted in millions of dollars in recovered revenue as well as cost savings.

Like all effective power tools, JMP has to be used with care. At a push of a button, it will give you a result, even very significant results, but it still takes an experienced user to determine the useful significance of a 'statistically significant result' based on thousands of observations.

JMP Statistical Discovery Software from SAS Feature Ratings

8.7
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
8
Predictive Analytics
10
Not Rated
Customizable dashboards
Not Rated
9.3
Drill-down analysis
9
Formatting capabilities
10
Integration with R or other statistical packages
Not Rated
Report sharing and collaboration
9
6.0
Publish to Web
4
Publish to PDF
8

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