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

Overview

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)
    9.0
    90%
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (16)
    8.0
    80%
  • Report sharing and collaboration (13)
    8.0
    80%
  • Drill-down analysis (13)
    7.7
    77%

Reviewer Pros & Cons

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Pricing

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Personal License

$125.00

On Premise
per month

Corporate License

$1,510.00

On Premise
Per Month Per Unit

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttp://jmp.com/en_us/software/buy…

Offerings

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

Features Scorecard

BI Standard Reporting

9.5
95%

Ad-hoc Reporting

7.5
75%

Report Output and Scheduling

8.6
86%

Data Discovery and Visualization

8.3
83%

Product Details

What is JMP Statistical Discovery Software from SAS?

JMP®

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

Visit https://www.youtube.com/user/JMPSoftwareFromSAS to watch JMP Statistical Discovery Software from SAS video.

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.

Comparisons

View all alternatives

Reviews

(1-24 of 24)
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Score 7 out of 10
Vetted Review
Verified User
Review Source
It is great because it has UI menus but it costs money whereas the other programs are free. That makes it ideal for beginners but I think that RStudio and Python are going to make someone a lot more marketable for future opportunities since most companies won't pay for the software when there is a great free option.
Score 7 out of 10
Vetted Review
Verified User
Review Source
JMP Statistical Discovery Software was already being used at my company. Other statistical software tools such as dataConductor have an easier-to-use interface and do not require learning a scripting language to generate large quantities of data plots.
Score 10 out of 10
Vetted Review
Verified User
Review Source
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).
Shelby Bowden | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
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
Thibaut Angevin | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
JMP is more user-friendly, in my opinion, as it doesn't require any coding or searching for hours into cryptic folders for the analysis you want to perform. It is also very good for recording large data sets. Moreover, it is compatible with Microsoft Excel.
Gabriel Chiararia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Score 8 out of 10
Vetted Review
Verified User
Review Source
I have only used STATA as a statistical package, and they are completely different tools. JMP has a much better layout and ease of use, but may not be as powerful as STATA for advanced processes. Overall speed and ease of use makes it like a combination of ms excel and stata together.
Wayne Levin | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Excel,Minitab,statistica
JMP simply excels against its competitors and the best way we know that is from our clients who have switched from other products. They recognize that their analytical capabilities are much higher with JMP then with whatever tools they used in the past. The ability to integrate JMP into databases and other applications and equipment to form analytical systems is also a strength. Finally, the interaction and visualization with JMP makes the work itself more compelling. JMP almost becomes invisible - they are less aware of it because they are focussed on their subject matter.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Compared to:
MSExcel - Useful from engineering data analysis perspective
Matlab - cost/ expensive licensing
R - Open source may not have support at the right time when needed for an organization (disclaimer: I have novice R experience)
Python - Open source may not have support at the right time when needed for an organization (disclaimer: I have novice R experience)
Score 9 out of 10
Vetted Review
Verified User
Review Source
MS Excel is good for manipulating data and providing flexible data arrays, but has serious deficiencies in its graphical displays and analytic capabilities. This is where JMP has its greatest advantages...see some of my previous comments, but I see these software applications working well in tandem and not independently of each other.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • IBM SPSS,Excel
We actually use both JMP and IBM SPSS, but I think JMP's complexity lends itself to more in-depth statistical analyses. SPSS is designed for that as well, but we tend to use it more for quicker analyses, and we have found that JMP is far more powerful.
Score 10 out of 10
Vetted Review
Verified User
Review Source
Minitab, MODE. JMP is more user-friendly, interactive, and visual, with larger variety of analysis and tools. DOE platform itself is superior to any other software, instead of fitting the problem to classical design, the design is fitted to any problem and constraints.
Michael Morris | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
Review Source
  • r,sas
I much prefer the ability to code my programs which is the main method used in both SAS and R. These software choices allow for quicker, more efficient, and more advanced analysis techniques. The one area that JMP is above these is in graphics and visual displays of data. JMP has much better visual capabilities. Output from JMP is much more difficult to read/understand.
Score 6 out of 10
Vetted Review
Verified User
Review Source
As I stated before, you can use Excel to do many similar things to JMP; you can even use SAS to create graphs without having to do any sort of exporting. If you use SAS, however, you know these graphs are hideous, and sometimes using an Excel graphs makes you look like you are in high school. We also have a visual graphics team in the company that creates custom graphs for us, but that is obviously very expensive.