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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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Pricing

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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.

8.5
Avg 8.3

Ad-hoc Reporting

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

8.2
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 8.1
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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 Drill-down analysis 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 From Top Reviewers

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(1-5 of 25)

My review on JMP - take the time to learn and you will see the difference.

Rating: 9 out of 10
January 01, 2025
Vetted Review
Verified User
JMP Statistical Discovery Software from SAS
10 years of experience
Much better than Excel for deep data dives, but also much steeper learning curve. And the cost is significantly higher - Excel is provided by default, but we have to request a JMP license each year.

JMP is a great tool for beginners

Rating: 7 out of 10
March 31, 2022
RM
Vetted Review
Verified User
JMP Statistical Discovery Software from SAS
1 year of experience
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 - A user friendly statistical analysis program

Rating: 7 out of 10
August 09, 2019
SB
Vetted Review
Verified User
JMP Statistical Discovery Software from SAS
4 years of experience
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
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