JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS

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Score 7.8 out of 100
JMP Statistical Discovery Software from SAS


Recent Reviews

JMP is awesome!

10 out of 10
February 20, 2017
It is just being just used in my department. We use it for all of our quantitative analysis from segmentations to product development to …
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Popular Features

View all 13 features
  • Location Analytics / Geographic Visualization (13)
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (16)
  • Report sharing and collaboration (13)
  • Drill-down analysis (13)

Reviewer Pros & Cons

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Personal License


On Premise
per month

Corporate License


On Premise
Per Month Per Unit

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visit…


  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Features Scorecard

BI Standard Reporting


Ad-hoc Reporting


Report Output and Scheduling


Data Discovery and Visualization


Product Details

What is JMP Statistical Discovery Software from SAS?


JMP® is the SAS® software designed for dynamic data visualization and analytics on the desktop. Interactive, comprehensive and highly visual, JMP® includes comprehensive capabilities for data access and processing, statistical analysis, design of experiments, multivariate analysis, quality and reliability analysis, scripting, graphing and charting, and more. According to the vendor, JMP® enables data interaction and the exploration of relationships to spot hidden trends, dig into areas of interest and move in new directions that hadn’t yet been considered.

JMP® Pro

JMP® Pro is the advanced analytics version of JMP® statistical discovery software from SAS®. JMP® Pro provides superior visual data access and manipulation, interactive, comprehensive analyses and extensibility (according to the vendor, these are the hallmarks of JMP), plus a many additional techniques. With JMP® Pro, users get the power of predictive modeling with cross-validation, advanced consumer research and reliability analysis, statistical modeling and bootstrapping in desktop-based environment. JMP® Pro is designed for use cases where large data volumes are present, or data is messy, includes outliers or missing data and users want to employ data mining methods or build predictive models that generalize well.

JMP Statistical Discovery Software from SAS Features

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Location Analytics / Geographic Visualization
  • Supported: Predictive Analytics
  • Supported: Support for Machine Learning models
  • Supported: Pattern Recognition and Data Mining
  • Supported: Integration with R or other statistical packages

BI Standard Reporting Features

  • Supported: Customizable dashboards

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Predictive modeling
  • Supported: Integration with R or other statistical packages
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data

Additional Features

  • Supported: Scripting Language
  • Supported: Design of Experiments
  • Supported: Text Exploration and Analysis
  • Supported: Reliability Analysis
  • Supported: Data Wrangling and Cleanup
  • Supported: Data Access
  • Supported: Consumer Research and Survey Analysis
  • Supported: Quality and Process Engineering

JMP Statistical Discovery Software from SAS Screenshots

Screenshot of Graph Builder.Screenshot of Design of ExperimentsScreenshot of Hierarchical and KMeans clustering are available from the Multivariate platform.Screenshot of Scatterplot Multivariate AnalysisScreenshot of Survey Analysis

JMP Statistical Discovery Software from SAS Video

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JMP Statistical Discovery Software from SAS Integrations

JMP Statistical Discovery Software from SAS Competitors

JMP Statistical Discovery Software from SAS Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Mac
Mobile ApplicationApple iOS

Frequently Asked Questions

JMP is a division of SAS and the JMP family of products provide statistical discovery tools linked to dynamic data visualizations.

IBM SPSS are common alternatives for JMP Statistical Discovery Software from SAS.

Reviewers rate Customizable dashboards and Location Analytics / Geographic Visualization highest, with a score of 9.

The most common users of JMP Statistical Discovery Software from SAS are from Enterprises (1,001+ employees) and the Semiconductors industry.


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Score 10 out of 10
Vetted Review
Verified User
Review Source
  • 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.
Gabriel Chiararia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • 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).
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • JMP has sped up almost all of the report-outs we were creating from Excel. Once the script is written, you won't have to do anything besides update your database(s).
  • JMP really makes you concatenate column information. It definitely makes everything faster as soon as you understand how to organize your initial data table.
  • Some graphs from Excel (especially time to survival) are quite difficult to censor and separate multivariate data, so you probably won't be able to get rid of Excel completely.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • The positive impact from using JMP is that it help visualize the data set, which can be easily assessed and understood by others who may not be in my field or area of expertise.
  • JMP script is helpful since it streamline the data report, and made the data analysis process more efficient and much faster.
  • One feedback I got was that JMP jrn lost its interactive when convert to other format. It would nice that jrn can be opened by other mainstream popular software.
Ruth Wirawan | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • JMP tech support is great, and very helpful. It allows me to go beyond my current experience with JMP and learn new things by asking questions. This empowers me to solve problems using JMP when no other tools available
  • One-stop-shop Stat analysis tool is awesome. Especially now with powerful Reliability module
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Finding best In Vitro match conditions and saving on expensive clinical In Vivo trial
  • Great troubleshooting tool to data-mine and resolve problems
  • Great interactive visual tool to present solutions to upper management to explore 'what if' scenarios right away
Eric Burton | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Analyzing models from DOE with JMP has allowed more robust product design. I'm not at liberty to give the specific numbers, but the difference was significant
  • Numerous times we have been spared the lost resources of pursuing a problem that was NOT statistically justified by being able to show the data
  • With the visualization capabilities of JMP we reported rigorous testing from our R&D lab and were able to convince board members of a necessary process change that was previously held up, not from lack of data, but from excess emotion.