1. Home
  2. Data Discovery and Visualization Platforms
  3. JMP Statistical Discovery Software from SAS Reviews
  4. User Review of JMP Statistical Discovery Software from SAS
Jmp your way to success in analyzing your data
Updated November 11, 2015

Jmp your way to success in analyzing your data

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Software Version

JMP Pro

Modules Used

  • JSL, Application Builder, Graphbuilder, Analyze, Quality

Overall Satisfaction with JMP

JMP Pro is being used across the whole organization. It is mostly used to solve engineering problems. It is used as a statistical and analytical tool to troubleshoot problems related to manufacturing.
  • Very powerful visual analytical tool
  • Easy capability for creating reports in HTML
  • Integration with R, Matlab
  • Statistical modeling capability
  • Very good documentation on well established solutions
  • Scripting capability is very poor, they have introduced application builder to do GUI based application but still needs more flexibility in terms of scripting as its lot tedious to do simple things
  • Need improved documentation on features that are newer
  • Its not easy to develop certain analysis and takes a while to screen out data and build it
  • Need some more Data mining and Machine learning algorithms
Compared to:
MSExcel - Useful from engineering data analysis perspective
Matlab - cost/ expensive licensing
R - Open source may not have support at the right time when needed for an organization (disclaimer: I have novice R experience)
Python - Open source may not have support at the right time when needed for an organization (disclaimer: I have novice R experience)
JMP has been good at releasing updates and adding new features and their support is good. Analytics is quick and you don't need scripting/programming experience. It has been used organization wide, and works well in that respect. Open source means that there are concerns regarding timely support. Cheap licensing and easy to maintain.
  • Faster conversion
  • easy visual analytics
  • Decision making through data became easy
Pros:
Do you need Visual Analytics?
Is your data noisy?
Are you new to statistics and analysis? Good Documentation
Do you need for DOE? Easy for simple DOE and modeling cases
Do you need to interface with other softwares? Capability to interface with other programs like R, Matlab, Excel etc...

Cons:
Do you need to automate repetitive tasks? Scripting is not friendly and needs improvement
Do you need to build an application? Application Builder is a good addition but at infancy phase
Do you need for data mining? Data Mining algorithms not yet sophisticated

JMP Training

Using JMP

It is good value for money from a organization perspective
ProsCons
Like to use
Easy to use
Technical support not required
Well integrated
Quick to learn
Convenient
Feel confident using
Inconsistent
Lots to learn
  • Visual Analytics
  • Data Filtering
  • Graph Builder
  • Analyzing
  • Gage RnR
  • Modeling and Simulations
  • JSL, Scripting
  • Application Builder