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 analysis, choice experiments and more. JMP allows organizations to use third-party analytics tools, such as SAS, MATLAB, R and Python. It is available on a perpetual license and support is extended via email, discussion forum, documentation and FAQs.
JMP Software - JMP main dashboard
JMP Software - JMP statistics
JMP Software - JMP graph builder
JMP video
JMP Software - JMP main dashboard - thumbnail
JMP Software - JMP statistics - thumbnail
JMP Software - JMP graph builder - thumbnail

JMP pricing

JMP has a free version and offers a free trial. JMP paid version starts at USD 1,250.00/year.

Starting Price:
USD 1,250.00/year
Free Version:
Yes
Free trial:
Yes

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JMP Reviews

Feature rating

Value for Money
4.3
Functionality
4.4
Ease of Use
4.1
Customer Support
4.5
5 reviews of 50 View all reviews
SHRUTI
SHRUTI
  • Industry: Education Management
  • Company size: 1,001–5,000 Employees
  • Used Weekly for 1+ year
  • Review Source
Value for Money
3
Features
4
Ease of Use
3
Customer Support
4

5
Reviewed on 06/02/2019

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.

Nanditha
  • Industry: Hospital & Health Care
  • Company size: 11–50 Employees
  • Used Daily for 2+ years
  • Review Source
Value for Money
5
Features
5
Ease of Use
5
Customer Support
5

5
Reviewed on 08/12/2019

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).

Prathamesh
Prathamesh
  • Industry: Retail
  • Company size: 1,001–5,000 Employees
  • Used Daily for 2+ years
  • Review Source
Value for Money
4
Features
4
Ease of Use
5
Customer Support
4

3
Reviewed on 01/12/2019

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.

Alternatives Considered

Minitab and Microsoft Excel

Reasons for Switching to 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.
Verified Reviewer
  • Industry: Information Technology & Services
  • Company size: 10,000+ Employees
  • Used Weekly for 6-12 months
  • Review Source
Value for Money
4
Features
4
Ease of Use
5
Customer Support
4

5
Reviewed on 10/09/2022

All-in-one No-code Platform for Data Analysis!

JMP have helped me in quickly performing exploratory data analysis in my local system on the data to gain insights on customer data and also have allowed me to apply predictive analysis as per the use cases .It have enabled me to quickly deliver presentations from visualizations generated from dashboards.

Pros

1.Easy to use and user friendly UI
2.Allows you easily load your data from database or csv files,etc
3.Support for algorithms for data analysis and modeling
4.Comes with good data manipulation and visualization features
5.The application is installed in your local system, allowing it to be accessed anytime.
6.Good Documentation support

Cons

1.Lesser Features available in free trail had to upgrade to pro version for complete experience
2.Cost is a bit high as compared to other similar tools
3.More data sources support can be added

Riazuddin Nawaz
  • Industry: Biotechnology
  • Company size: 10,000+ Employees
  • Used Daily for 2+ years
  • Review Source
Value for Money
4
Features
4
Ease of Use
4
Customer Support
4

4
Reviewed on 12/03/2022

JMP review

Overall experience is good

Pros

Jmp software is very easy to learn and very Intuitive. Some of the best features which I use and play around mostly are Graph builder, various statistical analysis support, SPC tools, PCA and PLS MVDA

Cons

Would have been good if they introduce more advance functionalities like Batch evolution models control chart in MVDA similar to the one's provided in SIMCA tool

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