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JMP, widely used in various industries such as engineering, marketing, semiconductor manufacturing, and life science, has proven to be a …
Starting at $125 per month
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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.
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Popular Features
- Location Analytics / Geographic Visualization (13)9.090%
- Report sharing and collaboration (13)8.282%
- Pre-built visualization formats (heatmaps, scatter plots etc.) (16)8.080%
- Drill-down analysis (13)7.878%
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…
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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- Tech Details
- FAQs
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 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
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
- MATLAB
- R
- SAS
JMP Statistical Discovery Software from SAS Competitors
- IBM SPSS Statistics
- Reliasoft
- Minitab
JMP Statistical Discovery Software from SAS Technical Details
| Deployment Types | On-premise |
|---|---|
| Operating Systems | Windows, Mac |
| Mobile Application | Apple 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).
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!
- Business Problems Solved
- Recommendations
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:
-
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.
-
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.
-
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
(1-24 of 24)Companies can't remove reviews or game the system. Here's why
March 31, 2022
JMP is a great tool for beginners
- Python IDLE and RStudio
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.
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.
December 16, 2019
Most User Friendly Statistical Analysis Software I've Used
I learned Statistical Analysis in JMP and am therefore not overly familiar with SAS.
December 04, 2019
We saved millions using JMP 4.0, what can you do with JMP 15+?
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).
We just needed to get the output that contains the statistical output, graphs but no programming.
August 09, 2019
JMP - A user friendly statistical analysis program
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
June 07, 2019
JMP right into statistical analysis
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.
May 21, 2018
JMP: Excellent tool for regression!
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.
February 12, 2018
JMP away from cumbersome Excel workbooks
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.
February 20, 2017
JMP is awesome!
December 23, 2015
Upgrade your problem-solving and research capabilities with JMP
Score 10 out of 10
Vetted Review
Verified User
- 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.
November 13, 2015
JMP from engineering perspective
Score 9 out of 10
Vetted Review
Verified User
JMP is more powerful in terms of data graphing, correlation analysis, profiler capability, and DOE functionality.
November 11, 2015
Jmp your way to success in analyzing your data
Score 8 out of 10
Vetted Review
Verified User
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)
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)
September 30, 2015
JMP for Process Engineers in Semiconductor Manufaturing
Score 9 out of 10
Vetted Review
Verified User
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
- 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.
June 10, 2015
One-stop-shop Stat Analysis Tool - JMP
Score 10 out of 10
Vetted Review
Verified User
- Reliasoft Weibull++,Reliasoft ALTA Pro
I choose JMP because I can accomplish various analyses in one place (no need to move my data around). JMP also can handle huge data sets.
March 13, 2015
Research and design use of JMP
Score 7 out of 10
Vetted Review
Verified User
Preference to JMP is driven more by my personal affinity for SAS and its application capabilities.
April 07, 2014
Why JMP is a ‘go to’ statistical package
Score 10 out of 10
Vetted Review
Verified User
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.
March 29, 2014
JMP, visually appealing to users
Score 5 out of 10
Vetted Review
Verified User
- 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.
March 29, 2014
A beginner's review to JMP
Score 9 out of 10
Vetted Review
Verified User
- Excel,MS SharePoint / SQL
Well, JMP is excellent for statistical analysis. So, this product it is well used for statistical analysis and data analytics.
Score 6 out of 10
Vetted Review
Verified User
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.
March 28, 2014
JMP for Gene Expression Analysis
Score 9 out of 10
Vetted Review
Verified User
JMP is fast and powerful but little costly than others. But good return for money.
Score 10 out of 10
Vetted Review
Verified User
- SPSS
I heard good things from colleagues who have used JMP. We did not get too far down the SPSS route before we decided to go with JMP because of price and perceived benefit from my colleague's advice.
Score 8 out of 10
Vetted Review
Verified User
JMP is better with visual data representation, and as a general statistics exploration package. Technical needs like Design of Experiments are just easier to do in JMP