JMP: Excellent tool for regression!
Gabriel Chiararia profile photo
May 21, 2018

JMP: Excellent tool for regression!

Score 9 out of 10
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Verified User
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Overall Satisfaction with JMP Statistical Discovery Software from SAS

I worked in student-led marketing consulting firm and I led the Analytics and Insights team, and we used JMP for data analysis. There were around 50 people in the organization, but only the ones in the Analytics and Insights department used JMP. We received requests from the account managers and we then ran some analysis for them depending on the project need.
  • 1 - Coding is not required: I've used other tools (Python, Mathlab, and R) and coding is required for all of them. With JMP, you just load the data, see it in a table and start working right away. I see it as a statistical version of MS Excel.
  • 2 - Powerful and easy regression: I love how easy, intuitive and powerful JMP is for running regression models. It was great for trying to fit the best regression models.
  • 3 - Smooth OS integration: I use in both macOS and Windows and both run just fine!
  • 1 - Not the most user friendly: In comparison to other tools (Azure ML, for example), JMP is not the most user friendly.
  • 2 - Features are not super comprehensive: Don't get me wrong, JMP has a lot of features! But when you compare against R, which is open source - so there are a lot of people adding new libraries frequently, JMP might lack some things you might want (especially the most recent ones).
  • 3 - Cost: In comparison to others (Azure ML is super cheap, R and Python are free), JMP can seem expensive.
  • ROI: Even if the cost can be high, the insights you get out of the tool would definitely be much more valuable than the actual cost of the software. In my case, most of the results of your analysis were shown to the client, who was blown away, making the money spent well worth for us.
  • Potential negative: If you are not sure your team will use it, there's a chance you will just waste money. Sometimes the IT department (usually) tries to deploy a better tool for the entire organization but they keep using the old tool they are used too (most likely MS Excel).
For me, JMP is the best and easy way to run regressions. I wouldn't use it for other more advanced models. I decided to use it because we got it for free since we are technically an academic institution.
Well suited:
- If you are using a lot of data tables, and would like the best tool to run regression;

Less appropriate:
- If you want to run some of the newest machine learning models;
- If you are on a budget and still want to get the best of your datasets.

JMP Statistical Discovery Software from SAS Feature Ratings

Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
Not Rated
Predictive Analytics
Not Rated
Customizable dashboards
Not Rated
Drill-down analysis
8
Formatting capabilities
7
Integration with R or other statistical packages
Not Rated
Report sharing and collaboration
6
Publish to Web
Not Rated
Publish to PDF
8