G2M Platform vs. JMP

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
G2M Platform
Score 9.0 out of 10
N/A
The G2M Platform (formerly Analyzr) is a software-as-a-service offering by G2M Insights focused on making machine learning analytics simple and secure for midmarket and enterprise customers that may not have a full-fledged data science team. For B2B sales and marketing predictive analytics, the G2M Platform provides a streamlined solution connecting data sources, predictive models, and production systems of record with real-time predictive analytics. With it, users…
$0
for a single user with 10 models and 10 datasets
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
G2M PlatformJMP
Editions & Modules
Starter
$0
for a single user with 10 models and 10 datasets
Premium
$499
per month per installation
Enterprise
Let's talk
per year per installation
JMP
$1320
per year per user
Offerings
Pricing Offerings
G2M PlatformJMP
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsBulk discounts available.
More Pricing Information
Community Pulse
G2M PlatformJMP
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G2M PlatformJMP
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User Ratings
G2M PlatformJMP
Likelihood to Recommend
9.0
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
10.0
(0 ratings)
Support Rating
-
(0 ratings)
9.2
(0 ratings)
Online Training
-
(0 ratings)
7.9
(0 ratings)
Implementation Rating
-
(0 ratings)
9.6
(0 ratings)
Product Scalability
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
G2M PlatformJMP
Likelihood to Recommend
Creating impact analysis when there are multiple levels of categories for comparison, i.e., firmographics, geo, etc.
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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
  • Data Insights
  • Machine Learning
  • Drive Growth
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  • 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
  • More Visuals
  • Better Data Hygiene Features
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  • 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
No answers on this topic
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
No answers on this topic
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
No answers on this topic
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
No answers on this topic
I have not used your online training. I use JMP manuals and SAS direct help.
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Alternatives Considered
Analyzr gives more transparency than the others tools we have used, allowing us to see the actual model and data insights instead of a black box approach. The tool is also more intuitive then others, allowing members with limited Python, R coding to create models.
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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
  • Identified a 30% lift in certain Marketing Efforts, justifying the continuing spend here.
  • Clustering allows us to target specific customers for upgrade, resulting in a top 10% to focus sales and marketing resources on.
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  • 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

G2M Platform Screenshots

Screenshot of the G2M Platform user interface

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.