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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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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
(1-25 of 28)Companies can't remove reviews or game the system. Here's why
April 21, 2022
A statistical tool for everybody
JMP has been a commendable companion for statistical problems whether in class or with research problems for our clients who use it to extract reports.
March 31, 2022
JMP is a great tool for beginners
It is a really good product for machine learning beginners. It has a really strong point/shoot capability that makes it ideal for those who are learning how to use statistical algorithms but don't know enough to choose the right package in another system. I also like that JMP has a lot of other features that can help beginning data scientists get more familiar with and explore their data.
I use JMP Statistical Discovery Software to create statistics and data plots from large volumes of manufacturing data. The software helps to reveal manufacturing problems and anomalies, leading to cost reduction for our manufacturing.
December 16, 2019
Most User Friendly Statistical Analysis Software I've Used
JMP is incredibly user friendly. It is such a fast, easy and integral tool in data management and quickly analyzing and presenting results in a user-friendly fashion. It helps us track changes in population, census data, and identifying areas of need in across numerous socioeconomic factors in the populations we serve.
December 04, 2019
We saved millions using JMP 4.0, what can you do with JMP 15+?
JMP is in use for our Six Sigma and Lean programs at the organizational level. The software has a yearly corporate license program due to its widespread use.
December 04, 2019
JMP Statistical Software - Great for quick data visualization as well as detailed analysis
JMP Statistical Software is used at our company by specific individuals when called upon by various departments. The software has been used for product evaluation and discovery including Design of Experiments as well as for human resources data such as turnover and salary reviews. By using JMP Software we can quickly see what the data is telling us about a given situation.
This is used account-wise to compare the statistical inferences of the data through graphs. I used this tool to understand the customer churning ratio. The results were more detailed oriented and pretty much easy to understand. We also used this tool in understanding the pattern of primary research data on the comparison of the opinions of the users of medical services.
August 09, 2019
JMP - A user friendly statistical analysis program
We started out with only a small group using JMP, but due to its ease of use, we have now expanded it so that almost everyone doing any kind of statistical analysis is using JMP. It is our go-to choice for fast and easy statistical analysis products and is the favorite for new workers.
June 07, 2019
JMP right into statistical analysis
I use SAS JMP for all kinds of statistical analysis; from data analysis and visualisation to modeling. Another huge part of the work allowed by JMP is the design of experiment. It allows for the recording, analysis and visualisation of vast quantities of data while remaining user-friendly.
May 21, 2018
JMP: Excellent tool for regression!
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.
February 12, 2018
JMP away from cumbersome Excel workbooks
JMP is being used to track a wide array of real-time production data at our biotech company. It is currently used by one department (technical operations) in order to quantify failures and track efficiencies with regard to our production processes. These include sales rates/times, creating survival curves, organizing multivariable processes, addressing multicollinearity, technician efficiencies and other aspects of our production. It mainly serves as a conduit to create quick snapshots of overall production efficiency that have replaced cumbersome Excel spreadsheets, as JMP can process basic graphs easier and faster than Excel.
April 18, 2017
JMP for preliminary data analysis
I use JMP as a starting point for data analysis and exploration. It is not being used across the organization, rather on a case-by-case basis.
February 20, 2017
JMP is awesome!
It is just being just used in my department. We use it for all of our quantitative analysis from segmentations to product development to figuring out if a marketing solution is being optimized. Overall, we use it to address anything for our clients and anything internal as well.
December 23, 2015
Upgrade your problem-solving and research capabilities with JMP
Score 10 out of 10
Vetted Review
Verified User
We assist our clients in accelerating research, both R&D, routine improvement initiatives as well as root cause analysis. JMP is central to this effort in two ways. First, we help them exploit the tool and secondly, we build and integrate JMP with databases and server-based software to create analytical systems that imbed analytics into standard operating procedures.
November 13, 2015
JMP from engineering perspective
Score 9 out of 10
Vetted Review
Verified User
JMP is being used daily as one of the key tools from the engineering tool box for my engineering department at a semiconductor manufacturing company in east coast of US. It is being used by my department, and it has caught attention from other departments as well. I will be glad to see it being used across the whole organization. I highly recommended the analyze and graph functional modules which help me to address volume production issues using multiple variant correlation and visualization of large data set.
November 11, 2015
Jmp your way to success in analyzing your data
Score 8 out of 10
Vetted Review
Verified User
JMP Pro is being used across the whole organization. It is mostly used to solve engineering problems. It is used as a statistical and analytical tool to troubleshoot problems related to manufacturing.
September 30, 2015
JMP for Process Engineers in Semiconductor Manufaturing
Score 9 out of 10
Vetted Review
Verified User
JMP is a software suite utilized by a handful of engineers in our Semiconductor manufacturing facility. It competes directly with another alternative that many have converted to but I have found JMP to be much more intuitive and friendlier to manipulate and analyze data that I specifically promoted and was granted a user license. We have scores of data on our products that we manufacture, the process is extremely complex and JMP helps to build insight quicker into the problems we face on a daily basis.
Score 9 out of 10
Vetted Review
Verified User
We use JMP as a statistical tool to manage data. It is used across our department and multiple other departments across the university. JMP provides us with a powerful tool to conduct any number of meaningful statistical analyses on any kind of data. We use JMP to provide powerful, interactive visuals for presentation and publishing purposes.
June 10, 2015
One-stop-shop Stat Analysis Tool - JMP
Score 10 out of 10
Vetted Review
Verified User
JMP modules are used as an overall statistical package for data analyses.
April 29, 2015
JMP for semiconductor process and HW analysis
Score 10 out of 10
Vetted Review
Verified User
JMP is used by many departments within the organization. At the application engineer level, it is mainly used for efficient design of experiments and experimental data analysis and visualization. It is also used at all levels of engineering and R&D as a data visualization, statistical analysis, MVA analysis and model fitting tool.
March 13, 2015
Research and design use of JMP
Score 7 out of 10
Vetted Review
Verified User
JMP is used in Research and develepment department and the full engineering staff. The software addresses data manuipulation and analysis for experimental design and process improvements.
April 07, 2014
Why JMP is a ‘go to’ statistical package
Score 10 out of 10
Vetted Review
Verified User
JMP is used as main statistical software to support Quality by Design implementation within generic R&D (DOE, specifications assessment, stability trending) and as main statistical tool to support Operations with product robustness initiative (SPC, Process Capability etc). It helps to optimize processes and formulations, find robust operating conditions and assess product robustness, explore interactively 'what if' scenarios..
March 29, 2014
JMP, visually appealing to users
Score 5 out of 10
Vetted Review
Verified User
I use JMP in my current position very sparingly. The main usage for JMP is plotting longitude and latitude coordinates and using them to display bubble charts of sales by state. During my education however we utilized JMP in more extensive roles including clustering, regression, neural networks, and other more advanced analysis techniques. In my current position I am the only user of JMP. I have also slightly used JMP for survival analysis, but switched to R during my analysis.
March 29, 2014
A beginner's review to JMP
Score 9 out of 10
Vetted Review
Verified User
I used JMP during my Graduate internship at Intel Corp. I worked in the Technology development Quality & Reliability Department under Manufacturing. JMP was and I'm sure it is still used extensively everyday in order to analyze high throughput data of reliability tests and be able to compute any type of statistic needed. The main business problem addressed is in being able to support the file access of huge csv data files of 5GB of data -- this is a challenge since no good product can do this except JMP only if the VM or laptop has enough RAM resources allocated. Thanks to JMP, daily tasks of statistical analysis were able to be performed. In addition, the command line utilities of JMP were used to customize outputs during batch script processes.
Score 6 out of 10
Vetted Review
Verified User
We use JMP to create large amounts of graphs in a very limited amount of time. We also use it to create more complicated graphs that are difficult or impossible to do in excel (3D graphs). We are the only department that uses it.
We often use DDE in SAS and VBA in excel to automate the creation of graphs, and occasionally choose that option over JMP because people are more familiar with it. An advantage to JMP is that the graphs don't like excel graphs.
It's also useful to have open during a presentation, because if someone wants to see a relationship between variables, JMP can create a graph of those variables quickly.
We often use DDE in SAS and VBA in excel to automate the creation of graphs, and occasionally choose that option over JMP because people are more familiar with it. An advantage to JMP is that the graphs don't like excel graphs.
It's also useful to have open during a presentation, because if someone wants to see a relationship between variables, JMP can create a graph of those variables quickly.