JMP

Score9.1 out of 10

98 Reviews and Ratings

What is JMP?

JMP® is statistical analysis software with capabilities that span from data access to advanced statistical techniques, with click of a button sharing. The software is interactive and visual, and statistically deep enough to allow users to see and explore data.

Categories & Use Cases

Media

in JMP, how all graphical displays and the data table are linked.

a few designed experiments, for more understanding and maximum impact. Users can understand cause and effect using statistically designed experiments — even with limited resources.

an example of Predictive Modeling in JMP Pro's Prediction Profiler, used to build better models for more confident decision making.

example outputs, built with tools designed for quality and reliability.

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Jason Hill View profile

Process Engineering Manager in Engineering at Tektronix Component Solutions (51-200 employees employees)

Use Cases and Deployment Scope

My organization uses JMP daily for process development, DOE, yield analysis, and SPC. It is a powerful tool and the customer support is excellent. We use JSL for automating recurring analyses.

Pros

DOE creation: quickly identifying variables and trials
DOE analysis: JMP provides clear analysis of responses
Yield analysis and SPC: JMP provides insights on trends and drift before parts fail.

Cons

There is a steep learning curve for getting started, but JMP provides great customer service to get started.
JSL (Jump Scripting Language) is confusing at first, but again there are some great resources and personalized help available.

Return on Investment

NPI Schedule: JMP has accelerated our NPI development through DOE development and process margin analysis.
ROI: Statistical analysis is vital to business continuity. JMP has a better value than its competition.

Usability

Alternatives Considered

Minitab Statistical Software, Microsoft Excel and MATLAB

Other Software Used

Cognex VisionPro, Miro, Atlassian Jira

Verified User

Engineer in Engineering (10,001+ employees employees)

Use Cases and Deployment Scope

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.

Pros

Create data plots easily ( histograms, box plots, etc).
Generate statistics for large volumes of data.
Import of data into the JMP tool.

Cons

Better tutorials on how to write JSL scripts.
Need an easy way to generate a large number of statistics and plots from different variables.
Need more detailed documentation on how specific measurement systems analysis is calculated.

Most Important Features

Can easily create data plots and statistics.
Can generate measurement systems analysis reports.
Easy to use user interface.

Return on Investment

Reduced manufacturing costs.
Quickly identify manufacturing concerns.
Easy to generate data plots to communicate data to cross-functional teams.

Usability

Other Software Used

MongoDB, MySQL, FileZilla

Verified User

Professional in Research & Development (5001-10,000 employees employees)

Use Cases and Deployment Scope

I use JMP Statistical Discovery Software from SAS to analyze and trend production data, looking for process deviations. I also use JMP Statistical Discovery Software from SAS to tabulate large datasets to understand how to pareto issues and address problems. I have used the Design of Experiments function to determine primary factors in an experiment. Finally, I used JSL to automate some tasks with large tables that needed to be merged and reorganized (split, perform a function, stack based on new column), etc.

Pros

Handles large data sets
Creates the script for a graph or table, allowing you to replicate the analysis when new data is added
Provides great flexibility using the graph builder tool

Cons

Errors in formulas are rarely diagnosed with much detail
Some preferences are hard to find (are they in the platform settings or in the drop down red arrow context menus)

Return on Investment

Each time I use JMP vs. Excel for my data analysis, I figure I save 50% of my time or more.

Usability

Alternatives Considered

Microsoft Excel

Other Software Used

Microsoft Excel

Ryan McLean

Research Analyst in Marketing at Imagine Learning (1001-5000 employees employees)

Use Cases and Deployment Scope

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.

Pros

Machine Learning.
Data Cleaning.
Reproducible code.

Cons

I like it when I can type in the code myself and although there was a print and save code option from the menus, I could not have produced the code myself in an easy-to-use console.

Most Important Features

Data exploration.
Machine Learning algorithms.

Return on Investment

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.

Alternatives Considered

Python IDLE and RStudio

Other Software Used

RStudio, Anaconda, Microsoft Power BI

Madalyn Lynch View profile

Grant Proposal Specialist at A and C Grants and Communications (1-10 employees employees)

Pros

Finding population averages
Tracking changes instituted with project funding

Cons

Downloading results and integrating them into other software is difficult with certain CRMS

Return on Investment

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