Displayr is a survey data discovery and visualization tool, with free tools for publishing dashboards, reports and infographics (e.g. charts, and graphs) to the web or other repositories for sharing and demonstration, as well as support for analysis of large datasets (more than 1,000 rows and 100 column) on paid plans.
N/A
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
Pricing
Displayr
JMP
Editions & Modules
No answers on this topic
JMP
$1320
per year per user
Offerings
Pricing Offerings
Displayr
JMP
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Bulk discounts available.
More Pricing Information
Community Pulse
Displayr
JMP
Features
Displayr
JMP
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Displayr
8.8
Ratings
10% above category average
JMP
-
Ratings
Drill-down analysis
9.00 Ratings
00 Ratings
Formatting capabilities
8.00 Ratings
00 Ratings
Integration with R or other statistical packages
10.00 Ratings
00 Ratings
Report sharing and collaboration
8.00 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Displayr
10.0
Ratings
17% above category average
JMP
-
Ratings
Publish to Web
10.00 Ratings
00 Ratings
Publish to PDF
10.00 Ratings
00 Ratings
Report Versioning
10.00 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Displayr is perfectly suited for any insights or data people that understand the type of analysis they want to do, but don't know R code - or just want to get to results more quickly than coding themselves. It's probably not the best learning ground, if you've never done any quantitative analysis before, but then neither are traditional tools like SPSS or Q.
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.
The intuitive interface and menus make it easy to quickly learn Displayr and find the types of data transformation or analysis that we're looking to do.
The support level from Displayr's team is FIRST CLASS. Where othe platforms force you to an FAQ or AI chat bot, Displayr's team will jump in first hand, into our data, or on a live call, and help us run a new type of analysis or troubleshoot a problem.
The ability to work collaboratively, asynchronously and remotely, on the same data set and report is a really huge plus for us.
The in-built options for multivariate analysis cover 99.9% of anything we have - or will - ever need to run.
The new "glow-up" on the interface has helped make it a bit easier on the eye, but there are some features of working in the "three pane" browser that are a bit frustrating: especially having to 'rearrange' when resizing the window to look at another app simultaneously.
Such a small point, but being able to drag and move multiple elements in a table (eg drag two rows to the top) SIMULTANEOUSLY would help a bunch.
I don't think we take advantage of all the visualisation capabilities in Displayr, and perhaps an AI 'recommendation' engine that sees the data I'm working with and prompts either a specific visualisation, or additional analysis option I might use, would be great.
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.
It's really quite intuitive, but the visual interface could be made a bit more easy to use (window/pane rescaling etc) and I think there could be more 'proactive prompts' to suggest features we're underutilising.
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.
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.
SPSS (the last version I looked at) still requires much more underlying knowledge and coding ability to get where we want to be. That's not where we add value, so the speed and simplicity with which Displayr allows us to get the data analysis done, and move onto developing insight and delivering value is why I chose Displayr.
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.
I think Displayr is quite expensive, but has the biggest impact on our P&L of any of our subscriptions, because it has unlocked our ability to deliver bigger, more complex analytic projects for clients - and hence grow our topline.
The ability to scale the license between years has also been a god-send as our team has gone up or down to deliver the level of quant work available to us.
There's also a bottom line efficiency driven by some of the speed of analysis that Displayr enables.
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.