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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…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
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- Competitors
- 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
(1-25 of 25)Companies can't remove reviews or game the system. Here's why
April 21, 2022
A statistical tool for everybody
- JMP is a very niche area that has helped our organization be a specialist in.
- The better JMP is the more opportunities open up for us.
March 31, 2022
JMP is a great tool for beginners
- It is a really great tool because it makes machine learning approachable.
- That is hard to say since it was purchased for me and so I don't know how worth it was. I really liked using the program.
- Reduced manufacturing costs.
- Quickly identify manufacturing concerns.
- Easy to generate data plots to communicate data to cross-functional teams.
December 16, 2019
Most User Friendly Statistical Analysis Software I've Used
- Saves time in the sense that I no longer have to use multiple software to store data
- Stores huge data sets and is organized in a manner which promotes efficient analysis
December 04, 2019
We saved millions using JMP 4.0, what can you do with JMP 15+?
- 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.
December 04, 2019
JMP Statistical Software - Great for quick data visualization as well as detailed analysis
- JMP Statistical Software has been used throughout our company to analyze data and find solutions to problems that would have otherwise been extremely difficult to discover.
- It saved our time in processing the data, so our ROI was good on that.
- We get detailed results very easily, SO we hired a few statisticians and basic programmers. Rather full team of data scientists.
August 09, 2019
JMP - A user friendly statistical analysis program
- Much wider use of statistical analysis across the whole organization.
- Streamlined regular data processing.
- Led to better coordination among other programs such as Excel.
June 07, 2019
JMP right into statistical analysis
- Work faster, more efficiently and reduce costs thanks to design of experiment
- Discovered relations and trends unseen before thanks to analysis of large sets of data
- Allowed visualisation of data and presentation in a format unseen before
May 21, 2018
JMP: Excellent tool for regression!
- 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).
February 12, 2018
JMP away from cumbersome Excel workbooks
- 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.
April 18, 2017
JMP for preliminary data analysis
- Positive impact. JMP facilitates the initial stages of data exploration and analysis.
February 20, 2017
JMP is awesome!
- None, it's priced better than competitors
November 13, 2015
JMP from engineering perspective
Score 9 out of 10
Vetted Review
Verified User
- 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.
November 11, 2015
Jmp your way to success in analyzing your data
Score 8 out of 10
Vetted Review
Verified User
- Faster conversion
- easy visual analytics
- Decision making through data became easy
September 30, 2015
JMP for Process Engineers in Semiconductor Manufaturing
Score 9 out of 10
Vetted Review
Verified User
- JMP has allowed myself and other engineering peers to solve process problems faster and identify issues that lead to customer dissatisfaction.
June 10, 2015
One-stop-shop Stat Analysis Tool - JMP
Score 10 out of 10
Vetted Review
Verified User
- 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
March 13, 2015
Research and design use of JMP
Score 7 out of 10
Vetted Review
Verified User
- JMP is the data analysis package for all analysis
- training is time constraint - sometimes it feels like I need a full time trainer and expert to keep others up to date.
April 07, 2014
Why JMP is a ‘go to’ statistical package
Score 10 out of 10
Vetted Review
Verified User
- 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
March 29, 2014
JMP, visually appealing to users
Score 5 out of 10
Vetted Review
Verified User
- None, we mainly utilize R for our advanced analysis.
- I guess we do now have some pretty graphics to display to the board. Graphics are always nice when presenting data.
March 29, 2014
A beginner's review to JMP
Score 9 out of 10
Vetted Review
Verified User
- Definitely greater employee efficiency
- Ability to greater use statistical analysis and group data
Score 6 out of 10
Vetted Review
Verified User
- Increased employee efficiency (frees up programmers)
- improved presentations to customer
March 28, 2014
JMP for Gene Expression Analysis
Score 9 out of 10
Vetted Review
Verified User
- good customer service
Score 10 out of 10
Vetted Review
Verified User
- We are able to complete better analyses, much faster in JMP, compared to Excel.
- JMP's predictive modeling has helped us better understand our customers.
Score 8 out of 10
Vetted Review
Verified User
- 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.