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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.

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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

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
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
Use Cases and Deployment Scope
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.
Pros and Cons
  • JMP can handle a seemingly infinite amount of data.
  • The statistical tests included in JMP are all-inclusive.
  • The learning curve can be very, very steep.
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.
Alternatives Considered
  • 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.
Likelihood to Renew
10
JMP is unquestionably central to our research operation, and we use it literally on a daily basis. All of our publications in recent memory have been driven by JMP, and I do not see that changing in the future.
JMP Statistical Discovery Software from SAS Feature Ratings
Data Discovery and Visualization (3)
60%
6.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
100%
10.0
Location Analytics / Geographic Visualization
N/A
N/A
Predictive Analytics
80%
8.0
BI Standard Reporting (3)
N/A
N/A
Customizable dashboards
N/A
N/A
Report Formatting Templates
N/A
N/A
Pixel Perfect reports
N/A
N/A
Ad-hoc Reporting (4)
N/A
N/A
Drill-down analysis
N/A
N/A
Formatting capabilities
N/A
N/A
Integration with R or other statistical packages
N/A
N/A
Report sharing and collaboration
N/A
N/A
Report Output and Scheduling (4)
N/A
N/A
Publish to Web
N/A
N/A
Publish to PDF
N/A
N/A
Report Versioning
N/A
N/A
Report Delivery Scheduling
N/A
N/A
Products Replaced
No
Key Differentiators
  • Price
  • Product Features
The product features were definitely the most important factor in our decision to use JMP, primarily the statistical analytics tools.
Evaluation Lessons Learned
I wouldn't; I think JMP is a perfect fit for what we do.
Easy Tasks
  • High-level inferential statistical analyses
  • Predictive Models
Difficult Tasks
  • Overall UI/UX
Mobile Interface Availability and Impressions
No
Usability
5
Once you figure out the bells and whistles/ins and outs of JMP, it becomes an intuitive, powerful tool. However, the learning curve is very steep; I think the product might be borderline unusable for those without at least a basic understanding of inferential statistics. However, even if you have a statistics background, the learning curve is still steep due to a confusing user interface, a weak help/search tool (at least within the program for Mac users; the online help is very useful), and a general lack of intuitiveness.
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