About JMP

JMP is an on-premise data analytics solution that helps scientists, engineers and data explorers understand complex data relationships and visualize them via interactive dashboards. The data acquisition and cleanup functionalities allow users to import data from Open Database Connectivity (ODBC) compliant databases and screen data for outliers, entry errors and missing values, among other inconsistencies.

JMP enables data explorers to utilize what-if scenarios and reliability analysis to depict patterns, gain insights into product performance and address design vulnerabilities. It lets users design all experiments based on current problems, budgets and available timing. Additionally, leaders can conduct consumer and market research via data mining, survey ana...


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Supported Operating System(s):

Windows 7, Windows Vista, Windows XP, Mac OS, Windows 8, Windows 10

34 Reviews of JMP

Average User Ratings

Overall

4.59 / 5 stars

Ease-of-use

4.0

Value for money

4.5

Customer support

4.5

Functionality

4.5

Ratings Snapshot

5 stars

(23)

23

4 stars

(8)

8

3 stars

(3)

3

2 stars

(0)

0

1 stars

(0)

0

Likelihood to Recommend

Not likely

Very likely

Showing 1 - 5 of 34 results

February 2019

SHRUTI from University of Georgia (UGA) Graduate School

Verified Reviewer

Company Size: 1,001-5,000 employees

Industry: Education Management

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

3.0

Value for money

3.0

Customer support

4.0

Functionality

4.0

February 2019

JMP software for academic purposes

JMP has been a commendable companion for statistical problems whether in class or with research problems. Initially it does take some to learn the stuff with JMP but later that it is worth it!

Pros

It has a huge array of statistical functions that you can perform in minutes and obtain very catchy curves and graphs. It is an excellent tool for academic teaching and research. It has great tutorial links on learning how to use the software for one's specific purposes.

Cons

There is no option for Overlaying Gaussian/Normal plots while it is quite a useful feature. Also, even though you can copy the graphs staright up, you cannot copy the tables as they appear in the software.

December 2019

Nanditha from Machaon DIagnostics

Company Size: 11-50 employees

Industry: Hospital & Health Care

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

5.0

Value for money

5.0

Customer support

5.0

Functionality

5.0

December 2019

JMP is a useful software

I have used JMP for design of experiments and statistical analysis during my masters and PhD and the software has been very accurate in my analyses.

Pros

JMP is easy to use for experienced users, and is relatively easy to learn. it is a very comprehensive statistical software.

Cons

although it is easy to use for experienced users, it is slightly challenging to learn (not difficult to learnt though).

Reasons for Switching to JMP

Excel was much easier to use, but JMP was more comprehensive and I could use JMP for both statistics and design of experiments.

November 2019

Prathamesh from Patagonia

Verified Reviewer

Company Size: 1,001-5,000 employees

Industry: Retail

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

5.0

Value for money

4.0

Customer support

4.0

Functionality

4.0

November 2019

A statistical tool for everybody.

Overall JMP is a very good statistical tool in it features and functionalities. For statisticians who are involved in industrial applications, JMP is a option for them. JMP gives full control and flexibility over data manipulation and analysis. Easy to operate method mechanism and drag and drop function through dashboard is a plus. Reports are very interactive and easy to export. Overall, recommended for statisticians.

Pros

JMP comes with lots of feature and functionality. It is very easy to use and requires no prior experience. It is is one of the statistical package software which doesn't require coding skills. Anybody with no experience and training can use JMP with ease. It has a dashboard which is easy to navigate and feature enabled. Data mining, data cleaning, and descriptives statistics can be very easily performed on JMP. The tool accepts data in different formats csv, xlsx, and dat format . For multivariate statistics JMP is a good tool when it comes to analyzing data using linear regression, ANOVA, MANOVA, and logistic regression. The dashboard application makes it very easy for the user to carry out the complex operations for the advance multivariate methods. Drag and drop functionality is very useful when it comes to handling lots of data. The results displayed are very good graphic display, easy to save and copy graphs other documents. The profiler component of the JMP is very useful to share analysis and reports using web interface. New methods like segmentation and conjoint analysis are also available in JMP. Overall JMP is must use tool for statisticians.

Cons

JMP doesn't provide any tools to analyze data using high level simulations. The available simulations are basic simluations which are capable to produce certain amount of data predictions. Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to numeric value. For example, JMP sometimes fails to recognize the difference between number and a string. It is easy to upload an excel sheet in JMP, but the excel add-in takes more time to work, sometimes it even fails to operate. Error and bug fixing requires exhaustive customer support and it is very time consuming. Loading large amount of data is very tedious as it takes lot of time and it crashes very frequently. Other software integrations for JMP are quiet challenging. JMP's parent company SAS follows different set of integration codes because of which the intergration with most large scale software for data access becomes a challenge. Also, JMP is quite expensive for small business, the pricing is suitable for midsize and large companies. Overall, high level simulations, excel add-in, and pricing are the drawbacks of JMP.

Reasons for Choosing JMP

JMP brings more functionality on the analysis level. Many different format of files can be uploaded to JMP and the data can be cleaned and structured well for its use. These functionalities are not available on other software packages. Also, operations on JMP are easy compared to other softwares.Overall, JMP was a better fit with respect to the needs at hand.

September 2020

Xiang from UH

Company Size: 5,001-10,000 employees

Industry: Research

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

4.0

Functionality

4.0

September 2020

Ease of use, but can be costly

It is a great tool for statistical analysis, and it is a mature software. I think their software instruction/help website can be more detailed though.

Pros

1. It's easy to use if you are just starting your statistical career 2. It can be powerful if you know how to code in it. 3. I can easily find most of the functions I need for my research.

Cons

1. The pro version has a lot more functions than the basic version but it is also costly. 2. It provides a lot of different statistical results after each modeling, however, it was not always clear what each one of them means in the instruction. 3. It was hard for me to adjust 3D graphs in JMP. They are not in high resolution nor pretty.

Reasons for Switching to JMP

I use all them for comparism.

January 2019

Anonymous

Verified Reviewer

Company Size: 1,001-5,000 employees

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

4.0

Value for money

5.0

Customer support

5.0

Functionality

4.0

January 2019

Best data analysis tool

Good software for novice learners to be excellent in analyzing data. Overall easy to use software

Pros

Can create quick addins to plot graphs in different formats. Scriptable to automate tasks. Options for analyzing the data using different algorithms and properly documented help files to understand the functionality of the algorithms.

Cons

Little expensive for individual user license. So having a data analyst career with only JMP software knowledge will not outside our Work organization