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JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS

Overview

What is JMP Statistical Discovery Software from SAS?

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

Read more
Recent Reviews

TrustRadius Insights

JMP, widely used in various industries such as engineering, marketing, semiconductor manufacturing, and life science, has proven to be a …
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TrustRadius Insights
TrustRadius Insights

JMP is awesome!

10 out of 10
February 20, 2017
Incentivized
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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JMP from engineering perspective

9 out of 10
November 13, 2015
JMP is being used daily as one of the key tools from the engineering tool box for my engineering department at a semiconductor …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 13 features
  • Location Analytics / Geographic Visualization (13)
    9.0
    90%
  • Report sharing and collaboration (13)
    8.2
    82%
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (16)
    8.0
    80%
  • Drill-down analysis (13)
    7.8
    78%
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Pricing

View all pricing

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
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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

9.5
Avg 8.4

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

7.6
Avg 8.0

Report Output and Scheduling

Ability to schedule and manager report output.

8.7
Avg 8.4

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

8.3
Avg 8.2
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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 capabilities for data access and processing, statistical analysis, design of experiments, multivariate analysis, quality and reliability analysis, scripting, graphing and charting. JMP® enables data interaction and the exploration of relationships to spot hidden trends, dig into areas of interest and move in new directions.


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 Statistics are common alternatives for JMP Statistical Discovery Software from SAS.

Reviewers rate Customizable dashboards and Publish to Web 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).
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Comparisons

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Reviews and Ratings

(100)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

JMP, widely used in various industries such as engineering, marketing, semiconductor manufacturing, and life science, has proven to be a valuable tool for data analysis. Users have praised JMP for its user-friendly interface and ease of use in performing statistical analysis and manipulating data. This software is extensively employed for efficient design of experiments, experimental data analysis, visualization, and statistical analysis.

One of the standout features of JMP is its ability to create large amounts of graphs, including complex 3D graphs. These visualizations are highly appreciated by users who need to analyze and present data in a clear and interactive manner. Additionally, JMP finds applications in analyzing human resources data like turnover and salary reviews. It is also utilized by biotech companies to track real-time production data, quantify failures, and track efficiencies.

Furthermore, JMP is widely used in universities for meaningful statistical analyses and powerful visualization capabilities. It plays a significant role in Six Sigma and Lean programs for process optimization and formulation. In addition to that, JMP has been found useful for product evaluation, discovery, and analyzing large volumes of manufacturing data.

Users also appreciate the automation capabilities of JMP. They can use DDE in SAS or VBA in Excel to automate graph creation tasks within the software. This feature has proven to be a time-saving option when dealing with repetitive graph generation processes.

Overall, JMP serves as an indispensable tool for professionals across different industries who require robust data analysis capabilities coupled with user-friendly interfaces and flexible visualization options.

Based on user reviews, users commonly recommend the following:

  1. Users suggest using the free version of BeanFlumper and running it on your own system instead of the cloud version. This provides more control over the software and allows for greater customization.

  2. Running BeanFlumper on your own system is recommended for enhanced security and privacy. By not relying on cloud-based services, users can ensure their data remains within their control.

  3. Implementing additional quality checks in BeanFlumper is suggested, such as validating competitor names, ensuring language accuracy, and monitoring plagiarism word count. These checks enhance the reliability and accuracy of the analysis provided by BeanFlumper.

By following these recommendations, users can make the most of their experience with BeanFlumper and adapt it to their specific requirements.

Attribute Ratings

Reviews

(1-25 of 28)
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March 31, 2022

JMP is a great tool for beginners

RM
Ryan McLean
Research Analyst
Imagine Learning (Higher Education, 1001-5000 employees)
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
I think JMP works best for beginners. It helps students get a really firm grasp on the algorithms and choose how to evaluate them. That being said, I think that any data scientist should move to R or Python as quickly as possible so they can take advantage of a wider range of options and flexibility.
March 29, 2022

Easy to use GUI, but learning JSL scripting is a steep learning curve

Verified User
Engineer in Engineering
Electrical & Electronic Manufacturing Company, 10,001+ employees
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
JMP Statistical Discovery Software has an easy-to-use GUI to create data plots and statistics. Generating measurement system analysis (e.g. Gauge R&R) is also pretty straightforward. Learning the JSL scripting is a steep learning curve and can be difficult for some users to learn.
December 16, 2019

Most User Friendly Statistical Analysis Software I've Used

Madalyn Lynch | TrustRadius Reviewer
Madalyn Lynch
Grant Proposal Specialist
A and C Grants and Communications (Non-profit Organization Management, 1-10 employees)
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
Query Builder saves time in configuring multiple tables and JMP is particularly adept at seamlessly importing data across many formats. I find it much more preferable than SAS, is very user friendly, and doesn't require writing code. I really can't think of a scenario in which I use another format to store and analyze population data for my work.
December 04, 2019

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

Verified User
Professional in Research & Development
Medical Practice Company, 10,001+ employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
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.
December 04, 2019

JMP Statistical Software - Great for quick data visualization as well as detailed analysis

Verified User
Professional in Human Resources
Plastics Company, 501-1000 employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
JMP Software is well-suited for data analysis in all forms. It can be used for quickly viewing data using the chart builder or for more in-depth analysis using statistical evaluations. The only time I do not transfer my data to a JMP data table is when I have just a few data points and I can make a chart in excel just as quickly.
November 21, 2019

For performing comparison analysis the best tool available in the market is JMP

Akshaya Bhardwaj | TrustRadius Reviewer
Akshaya Bhardwaj
Consultant
WNS Global Services (Outsourcing/Offshoring, 10,001+ employees)
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
Understanding data is best for doing comparisons. To understanding our customer churning ratio we compared multiple factors and this tool was pretty handy. We checked the customer data of similar-profile companies in different locations and results were the very best.

While doing analysis on the data where the data contained more than 75 lac rows, this tool was very disappointing and we were unable to clean the data in it.
August 09, 2019

JMP - A user friendly statistical analysis program

Shelby Bowden | TrustRadius Reviewer
Shelby Bowden
Graduate Research Assistant
Western Kentucky University (Higher Education, 1001-5000 employees)
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
JMP is a really excellent program for providing quick and easy statistical analysis of large and complex data sets. It is extremely user-friendly since it does not require coding, and this makes it a very versatile program for a whole organization. The main area where it is not quite as useful is in performing very specific or complex processes - it lacks many of those powerful tools found in other programs.
June 07, 2019

JMP right into statistical analysis

Thibaut Angevin | TrustRadius Reviewer
Thibaut Angevin
Senior Scientist
Pieris Pharmaceuticals (Biotechnology, 51-200 employees)
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
JMP is perfect in my environment, research and development, where I must design experiments efficiently to test many parameters, generate large amounts of data that I need to analyse to discover effects or trends. As well as to test process robustness.
May 21, 2018

JMP: Excellent tool for regression!

Gabriel Chiararia | TrustRadius Reviewer
Gabriel Chiararia
Marketing Analytics Consultant
Whirlpool Corporation (Consumer Electronics, 51-200 employees)
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
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.
February 12, 2018

JMP away from cumbersome Excel workbooks

Verified User
Analyst in Research & Development
Biotechnology Company, 11-50 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
JMP is great for crunching huge datasets, especially if you are overloading your Excel workbook. You can have JMP communicate directly with Excel or FileMaker because it has its own scripting language, so you can basically have report at the click of a button. If you are into formatting and pretty graphs, JMP does not include a ton of aesthetic functionality. The drag and drop graph building function allows you to filter out variables easily and change the look of your graph, but can be confusing at times even when you are trying to create simple graphs. Overall it is a great tool to crunch a lot of data without lag.
April 18, 2017

JMP for preliminary data analysis

Roberto Jimenez | TrustRadius Reviewer
Roberto Jimenez
Procurement Manager | Direct Materials
Ascend Performance Materials (Chemicals, 1001-5000 employees)
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Likelihood to Recommend
Well suited for preliminary data analysis, identifying trends and distribution of the data, finding and excluding outliers as appropriate. Since JMP is well equipped for exploratory analysis, it is not the best choice when the level of interaction with the data must be limited.
December 23, 2015

Upgrade your problem-solving and research capabilities with JMP

Wayne Levin | TrustRadius Reviewer
Wayne Levin
President
Predictum Inc. (Information Technology and Services, 11-50 employees)
Score 10 out of 10
Vetted Review
Verified User
Likelihood to Recommend
Many organizations have seen their analytical capabilities, and the results from them, plateau. Of these, we've observed, that most of them didn't appreciate that they could do (even) better. These companies should definitely consider JMP. Any company that is research-based can benefit from accelerating their research, learning more in less time, effort and cost, with JMP's tools. Basically, any organization that is hungry enough for improvement to seek out better ways is suitable for JMP. Those who are happy with their current performance are not likely to consider the changes, though they were not major impediments by our clients, required.
November 13, 2015

JMP from engineering perspective

Verified User
Engineer in Engineering
Semiconductors Company, 201-500 employees
Score 9 out of 10
Vetted Review
Verified User
Likelihood to Recommend
JMP is well suited for statistical analysis. However, when underlying physics or science is needed to better understand or simulate the observation or to provide prediction by modeling, JMP seems to lack the flexibility for end-user to provide boundary conditions or pre-defined rules to rule out impossibles in the predictive modeling.
November 11, 2015

Jmp your way to success in analyzing your data

Verified User
Engineer in Engineering
Semiconductors Company, 10,001+ employees
Score 8 out of 10
Vetted Review
Verified User
Likelihood to Recommend
Pros:
Do you need Visual Analytics?
Is your data noisy?
Are you new to statistics and analysis? Good Documentation
Do you need for DOE? Easy for simple DOE and modeling cases
Do you need to interface with other softwares? Capability to interface with other programs like R, Matlab, Excel etc...

Cons:
Do you need to automate repetitive tasks? Scripting is not friendly and needs improvement
Do you need to build an application? Application Builder is a good addition but at infancy phase
Do you need for data mining? Data Mining algorithms not yet sophisticated
July 21, 2015

JMP: The Most Powerful Statistical Tool On the Market

Verified User
Analyst in Research & Development
Education Management Company, 10,001+ employees
Score 9 out of 10
Vetted Review
Verified User
Likelihood to Recommend
It is perfectly suited for statistical analyses, but I would not recommend JMP for users who do not have a statistical background. As previously stated, the learning curve is exceptionally steep, and I think that it would prove to be too steep for those without statistical background/knowledge.
June 10, 2015

One-stop-shop Stat Analysis Tool - JMP

Ruth Wirawan | TrustRadius Reviewer
Ruth Wirawan
Module & Technology Reliability Engineer
Apple (Consumer Electronics, 10,001+ employees)
Score 10 out of 10
Vetted Review
Verified User
Likelihood to Recommend
Reliability module: Parametric survival analysis platform is powerful, however, the translation to common physics of failure models can be unclear. Proper documentation and live pop-up explanations will be very helpful. Often times, I have to rerun the same data sets in Reliasoft ALTA Pro to confirm my interpretation of the parameters is correct.
April 29, 2015

JMP for semiconductor process and HW analysis

Michael Carcasi | TrustRadius Reviewer
Michael Carcasi
Senior Research Scientist
Tokyo Electron (Semiconductors, 10,001+ employees)
Score 10 out of 10
Vetted Review
Verified User
Likelihood to Recommend
JMP is a powerful data visualization tool. It likewise is a powerful DOE tool. For these applications, I think it is appropriate for all. As you dive deeper into JMP capabilities, I think it becomes more appropriate for user to have at least some formal training in statistics.
March 13, 2015

Research and design use of JMP

MD
Mark Davis
Chief Science Officer
Solan PV (Semiconductors, 51-200 employees)
Score 7 out of 10
Vetted Review
Verified User
Likelihood to Recommend
Data size and complexity is the driver for choice of an analysis application. For example, a thousand line by 150 column data set is great for excel or a spreadsheet. If the data is in the 25,000 line range and only a 100 columns then use JMP. For larger and more complex relational databases my recommendation is for SAS.
March 29, 2014

JMP, visually appealing to users

Michael Morris | TrustRadius Reviewer
Michael Morris
Data Analyst
WebAssign (E-Learning, 51-200 employees)
Score 5 out of 10
Vetted Review
Verified User
Likelihood to Recommend
JMP, like other point and click analysis environments, are very useful to users with little or no programming experience. A typical analyst who has experience in data analysis would much prefer to code their analysis programs than using a point and click environment. However for users without a strong analysis background who are using JMP for simple purposes, the point and click environment can be very user friendly for them. But as I mentioned, the inability to code can deter more advanced users.
March 29, 2014

JMP- helpful if you have a particular set of skills (or needs)

Verified User
Analyst in Other
Hospital & Health Care Company, 201-500 employees
Score 6 out of 10
Vetted Review
Verified User
Likelihood to Recommend
I think it is less appropriate for professional looking printed reports. If you are looking for a tool to give to non-programmers so they can look at relationships themselves without bothering you, or are looking to automate graphs, this would work very well for you. It would also be useful if you wanted to make 3D graphs that can be embedded, because they can be spun with the cursor. Of course, you cannot do this in a printed report.
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