JMP vs. OpenText Lens

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
JMP
Score 9.2 out of 10
N/A
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.
$1,320
per year per user
OpenText Lens
Score 2.0 out of 10
N/A
OpenText Lens (replacing the former OpenText Alloy) is a cloud application that offers visibility into the data flows between enterprise applications and connected systems, customers, suppliers and trading partners. Lens gives organizations insights needed to monitor business process health against KPIs, and quickly respond to key business events.N/A
Pricing
JMPOpenText Lens
Editions & Modules
JMP
$1320
per year per user
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Offerings
Pricing Offerings
JMPOpenText Lens
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsBulk discounts available.
More Pricing Information
Community Pulse
JMPOpenText Lens
User Ratings
JMPOpenText Lens
Likelihood to Recommend
9.0
(0 ratings)
-
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
Availability
10.0
(0 ratings)
-
(0 ratings)
Performance
10.0
(0 ratings)
-
(0 ratings)
Support Rating
9.2
(0 ratings)
-
(0 ratings)
Online Training
7.9
(0 ratings)
-
(0 ratings)
Implementation Rating
9.6
(0 ratings)
-
(0 ratings)
Product Scalability
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
JMPOpenText Lens
Likelihood to Recommend
Many organizations have seen their analytical capabilities, and the results from them, plateau. Of these, we've observed, that most of them didn't appreciate that they could do (even) better. These companies should definitely consider JMP. Any company that is research-based can benefit from accelerating their research, learning more in less time, effort and cost, with JMP's tools. Basically, any organization that is hungry enough for improvement to seek out better ways is suitable for JMP. Those who are happy with their current performance are not likely to consider the changes, though they were not major impediments by our clients, required.
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Pros
  • Graphs are more detail-oriented and contain statistical inferences.
  • Everything is drag and drop. Pretty much easy to use and handle and also to learn.
  • Importing and exporting the results are easy and they can be attached with any other tool for processing.
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Cons
  • Loading a large amount of data is very tedious as it takes a lot of time and it crashes very frequently.
  • I dislike the limited options they have in terms of statistical models or analysis tools.
  • Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to the numeric value.
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Likelihood to Renew
I've mentioned this earlier, but the licensing agreements are very prohibitive. I work with a company where my role has become less and less doing my own analytics and more and more trying to help other people in that role. As we are bringing more people "up to speed" it's hard to justify licenses for 2-3 people when they aren't full time, Six Sigma black belts just looking at stats all day. A floating license option would make this a no-brainer, since these people could continue their other work and add JMP usage as they grow their skills, but this is not something JMP/SAS has offered.
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Usability
The GUI interface makes it easier to generate plots and find statistics without having to write code. The JSL scripting is a bit of a steep learning curve but does give you more ability to customize your analysis. Overall, I would recommend JMP as a good product for overall usability.
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Support Rating
The helpful tips are great for new users. I am always able to find solutions to a tool I am working with through the hep section. And my area has a users group that meets each quarter to share ideas and view upcoming JMP revisions.
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Online Training
I have not used your online training. I use JMP manuals and SAS direct help.
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Alternatives Considered
We actually use both JMP and IBM SPSS, but I think JMP's complexity lends itself to more in-depth statistical analyses. SPSS is designed for that as well, but we tend to use it more for quicker analyses, and we have found that JMP is far more powerful.
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Return on Investment
  • JMP has resulted in literally millions of dollars in ROI due to identification of correctable errors.
  • Use of JMP control charts JMP has greatly simplified and improved interpretation of Lean, FMEA, and PDSA type analyses.
  • Use of JMP has enable the testing and subsequent selection of 'best practices' saving uncounted hours in false starts based on 'collective experience'.
  • The down side is that JMP is not a 'magic box', one still has to take care in applying the tools properly. Moreover, time-consuming approaches using JMP may still be the 'order of the day', because the service (even power user) is unaware of significant shortcuts available for free on the JMP community website.
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ScreenShots

JMP Screenshots

Screenshot of in JMP, how all graphical displays and the data table are linked.Screenshot of a few designed experiments, for more understanding and maximum impact. Users can understand cause and effect using statistically designed experiments — even with limited resources.Screenshot of an example of Predictive Modeling in JMP Pro's Prediction Profiler, used to build better models for more confident decision making.Screenshot of example outputs, built with tools designed for quality and reliability.