Analytic Solver

3 Ratings
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Score 8.4 out of 101

JMP Statistical Discovery Software from SAS

58 Ratings
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Score 7.6 out of 101

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Likelihood to Recommend

Analytic Solver

Based on my limited experience and use, and therefore limited global knowledge of the software, I would recommend it especially if the data that will be used as inputs to the model has previously worked on a spreadsheet such as Excel.I would also recommend it to analyze problems of medium and small size. Given the experience I have had when I have used it with large problems, there have been noticeable decreases in the speed of response (which are not associated with the size of the system of equations involved in the calculation). Excellent for processing linear programming models.
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JMP Statistical Discovery Software from SAS

It is perfectly suited for statistical analyses, but I would not recommend JMP for users who do not have a statistical background. As previously stated, the learning curve is exceptionally steep, and I think that it would prove to be too steep for those without statistical background/knowledge
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Feature Rating Comparison

BI Standard Reporting

Analytic Solver
JMP Statistical Discovery Software from SAS
8.4
Pixel Perfect reports
Analytic Solver
JMP Statistical Discovery Software from SAS
10.0
Customizable dashboards
Analytic Solver
JMP Statistical Discovery Software from SAS
6.8

Ad-hoc Reporting

Analytic Solver
JMP Statistical Discovery Software from SAS
7.8
Drill-down analysis
Analytic Solver
JMP Statistical Discovery Software from SAS
8.2
Formatting capabilities
Analytic Solver
JMP Statistical Discovery Software from SAS
7.0
Integration with R or other statistical packages
Analytic Solver
JMP Statistical Discovery Software from SAS
8.9
Report sharing and collaboration
Analytic Solver
JMP Statistical Discovery Software from SAS
7.0

Report Output and Scheduling

Analytic Solver
JMP Statistical Discovery Software from SAS
8.9
Publish to Web
Analytic Solver
JMP Statistical Discovery Software from SAS
10.0
Publish to PDF
Analytic Solver
JMP Statistical Discovery Software from SAS
8.7
Report Versioning
Analytic Solver
JMP Statistical Discovery Software from SAS
7.0
Report Delivery Scheduling
Analytic Solver
JMP Statistical Discovery Software from SAS
10.0

Data Discovery and Visualization

Analytic Solver
JMP Statistical Discovery Software from SAS
8.9
Pre-built visualization formats (heatmaps, scatter plots etc.)
Analytic Solver
JMP Statistical Discovery Software from SAS
8.2
Location Analytics / Geographic Visualization
Analytic Solver
JMP Statistical Discovery Software from SAS
9.3
Predictive Analytics
Analytic Solver
JMP Statistical Discovery Software from SAS
9.2

Pros

  • Without the program being "my favorite" it is necessary to recognize that handling in the Excel application environment provides it with a feature with a high added value, compared to other softwares that do not have those characteristics, which makes the handling of data from external sources is easier.
  • In addition to its inherent quality of general data analysis, I can also highlight the areas in which I have used it (field of linear optimization, simplex method and non-linear optimization, network models) where it has allowed me to model, simulate and analyze different situations with great success.
  • I could say that the limitations are not the program but mine as a user of it.
  • Unlike other software that I have used (WinQsb and Lingo, for example), it presents an acceptable customer service.
Rafael Becemberg profile photo
  • JMP is designed from the ground-up to be a tool for analysts who do not have PhDs in Statistics without in anyway "dumbing down" the level of statistical analysis applied. In fact, JMP operationalizes the most advanced statistical methods. JMP's design is centred on the JMP data table and dialog boxes. It is data focused not jargon-focussed. So, unlike other software where you must choose the correct statistical method (eg. contingency, ANOVA, linear regression, etc.), with JMP you simply assign the columns in a dialog into roles in the analysis and it chooses the correct statistical method. It's a small thing but it reflects the thinking of the developers: analysts know their data and should only have to think about their data. Analyses should flow from there.
  • JMP makes most things interactive and visual. This makes analyses dynamic and engaging and obviates the complete dependence on understanding p-values and other statistical concepts(though they are all there) that are often found to be foreign or intimidating.
  • One of the best examples of this is JMP's profiler. Rather than looking at static figures in a spreadsheet, or a series of formulas, JMP profiles the formulas interactively. You can monitor the effect of changing factors (Xs) and see how they interact with other factors and the responses. You can also specify desirability (maximize, maximize, match-target) and their relative importances to find factor settings that are optimal. I have spent many lengthy meetings working with the profiler to review design and process options with never a dull moment.
  • The design of experiments (DOE) platform is simply outstanding and, in fact, the principal developers of it have won several awards. Over the last 15 years, using methods broadly known as an "exchange algorithm," JMP can create designs that are far more flexible than conventional designs. This means, for example, that you can create a design with just the interactions that are of interest; you can selectively choose those interactions that are not of interest and drop collecting their associated combinations.
  • Classical designs are rigid. For example, a Box-Benhken or other response surface design can have only continuous factors. What if you want to investigate these continuous factors along with other categorical factors such as different categorical variables such as materials or different furnace designs and look at the interaction among all factors? This common scenario cannot be handled with conventional designs but are easily accommodated with JMP's Custom DOE platform.
  • The whole point of DOE is to be able to look at multiple effects comprehensively but determine each one's influence in near or complete isolation. The custom design platform, because it produces uniques designs, provides the means to evaluate just how isolated the effects are. This can be done before collecting data because this important property of the DOE is a function of the design, not the data. By evaluating these graphical reports of the quality of the design, the analyst can make adjustments, adding or reducing runs, to optimize cost, effort and expected learnings.
  • Over the last number of releases of JMP, which appear about every 18 months now, they have skipped the dialog boxes to direct, drag-and-drop analyses for building graphs and tables as well as Statistical Process Control Charts. Interactivity such as this allows analysts to "be in the moment." As with all aspects of JMP, they are thinking of their subject matter without the cumbersomeness associated with having to think about statistical methods. It's rather like a CEO thinking about growing the business without having to think about every nuance and intricacy of accounting. The statistical thinking is burned into the design of JMP.
  • Without data analysis is not possible. Getting data into a situation where it can be analyzed can be a major hassle. JMP can pull data from a variety of sources including Excel spreadsheets, CSV, direct data feeds and databases via ODBC. Once the data is in JMP it has all the expected data manipulation capabilities to form it for analysis.
  • Back in 2000 JMP added a scripting language (JMP Scripting Language or JSL for short) to JMP. With JSL you can automate routine analyses without any coding, you can add specific analyses that JMP does not do out of the box and you can create entire analytical systems and workflows. We have done all three. For example, one consumer products company we are working with now has a need for a variant of a popular non-parametric analysis that they have employed for years. This method will be found in one of the menus and appear as if it were part of JMP to begin with. As for large systems, we have written some that are tens of thousands of lines that take the form of virtual labs and process control systems among others.
  • JSL applications can be bundled and distributed as JMP Add-ins which make it really easy for users to add to their JMP installation. All they need to do is double-click on the add-in file and it's installed. Pharmaceutical companies and others who are regulated or simply want to control the JMP environment can lock-down JMP's installation and prevent users from adding or changing functionality. Here, add-ins can be distributed from a central location that is authorized and protected to users world-wide.
  • JMP's technical support is second to none. They take questions by phone and email. I usually send email knowing that I'll get an informed response within 24 hours and if they cannot resolve a problem they proactively keep you informed about what is being done to resolve the issue or answer your question.
Wayne Levin profile photo

Cons

  • On the few occasions when I have used it to deal with problems of optimization of relatively large parameters (with a large number of restrictions and decision variables), the program has been slower, not substantially but slower, than programs such as the WinQsb, even when the latter runs on 32-bit machines and not 64. That has caught my attention, even though it is not a real problem for the uses I give to the program.
  • Given my partial function as a university professor, it has been much more effective and practical to use other software, due to the limited options that the educational license associated with the software has.
Rafael Becemberg profile photo
  • JMP does a lot and can be intimidating for new users. New users and their managers need to understand that it’s unlikely that anyone will use all of JMP's capabilities in their work. Some uses are very limited. But it’s not important how much of the whole JMP product and capabilities you use but rather what use of the product contributes.
  • We have seen time and again where organizations up their game analytically because they are using JMP. Though JMP makes these methods accessible by way of visualization and interactivity, there is still a learning curve involved. For example, JMP does a great job with time series analyses allowing manufacturers to find cyclical patterns that lead to yield hits. Using it in JMP is easy but engineers need to understand the concepts behind it to exploit it.
  • JMP data tables are proprietary and I'm not sure that any other software can open native JMP files. Perhaps some competing products can but I would have to bet that some aspects of the data, particularly saved analyses, table variables and formulas would not come across.
  • JMP Scripting Language (JSL) is incredibly powerful. With it you are actually working with JMP's building blocks in terms of analytics and in terms of how reports and dialogs are put together. I personally think that every JMP user should have some active expertise with JSl but building integrated analytical systems will have to be left to those who have the time and talent to focus on it daily.
  • JMP forces you to change the way you approach analysis and that can be a difficult transition for some but it leads to some powerful capabilities once you make it through. Most analytic tools are focused on the analytic techniques and terms and use those names in their menus. JMP on the other hand, focuses on the data and the questions you’re asking: What is my Y and what’s my X? What’s the relationship between them? This way the emphasis is on the problem at hand, not deciding on a technique for analysis.
Wayne Levin profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
JMP Statistical Discovery Software from SAS9.9
Based on 15 answers
In almost 20 years of working with JMP and new JMP clients we have not seen any of them not renew their licenses. We have some some reductions in licensing due to a reduction in staffing - but that's about it. JMP's annual licensing model encourages renewal - particularly since they provide major upgrades every 18 to 20 months. These upgrades have added major new functionality, most recently in the area of consumer research, but also extend and enhance existing functionality. Licensing also includes tech support by phone and email
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Usability

No score
No answers yet
No answers on this topic
JMP Statistical Discovery Software from SAS2.8
Based on 4 answers
Once you figure out the bells and whistles/ins and outs of JMP, it becomes an intuitive, powerful tool. However, the learning curve is very steep; I think the product might be borderline unusable for those without at least a basic understanding of inferential statistics. However, even if you have a statistics background, the learning curve is still steep due to a confusing user interface, a weak help/search tool (at least within the program for Mac users; the online help is very useful), and a general lack of intuitiveness.
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Support

No score
No answers yet
No answers on this topic
JMP Statistical Discovery Software from SAS10.0
Based on 1 answer
The SAS support team came on site to give a presentation to our entire team. They answer questions immediately and provide insight specific to your needs. They also provided a video conference to get me started with the software, which was really useful. There are textbooks written on scripting and JMP usage, which were provided to me as well.
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Online Training

No score
No answers yet
No answers on this topic
JMP Statistical Discovery Software from SAS7.9
Based on 3 answers
I have not used your online training. I use JMP manuals and SAS direct help.
Mark Davis profile photo

Breadth of Deployment

No answers on this topic
JMP is used across the department, and I imagine that it is used in many departments across the university for research.
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Alternatives Considered

The use of this software does not necessarily follow that it is "globally better" than others. In the department we have used this and others with similar characteristics, given that, as previously indicated, all the software has advantages and weaknesses with respect to other software with similar characteristics. Obtaining better results lies in the user's ability to detect those "benefits and weaknesses" and maximize their usefulness within the specific field of work in which they operate.In our case, one of the reasons that led us to try and use it, was related to trying to "tie" more processes to the same environment, which in this case is the one associated with the Excel database, in such a way as to reduce the initial manipulation and accommodation that should be made to the data if they come from different sources such as MATLAB, or WinQsb.This facilitates the use of software for the type of user who does not necessarily have deep knowledge of linear algebra or operations research, for example.
On the contrary, the most analytical and knowledgeable user manifested in a high percentage, preferring to use MATLAB as a tool, claiming that they have a greater and easier access to the calculation functions, which even in specific cases, could be modified.
Rafael Becemberg profile photo
JMP simply excels against its competitors and the best way we know that is from our clients who have switched from other products. They recognize that their analytical capabilities are much higher with JMP then with whatever tools they used in the past. The ability to integrate JMP into databases and other applications and equipment to form analytical systems is also a strength. Finally, the interaction and visualization with JMP makes the work itself more compelling. JMP almost becomes invisible - they are less aware of it because they are focussed on their subject matter.
Wayne Levin profile photo

Collaboration and Sharing

Analytic Solver8.0
Based on 1 answer
No answer on this topic is available.
JMP Statistical Discovery Software from SAS4.0
Based on 1 answer
We share JMP files through other file sharing methods, like Google Drive and Dropbox, because the sharing capabilities are not the strongest.
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Return on Investment

  • - It has allowed finding ways to optimize (minimizing costs or times) the field processes involved in various projects.
  • It has even allowed, in specific cases where it was used for that purpose, to optimize the allocation of resources (people) to work in different jobs that present weekly variations of the activity that these people must perform.
  • It has allowed the sensitivity analysis of projects to changes in the decision variables related to them, which, and in very dynamic and changing environments, resulted in substantial decreases in money losses.
Rafael Becemberg profile photo
  • JMP has allowed myself and other engineering peers to solve process problems faster and identify issues that lead to customer dissatisfaction.
Trevor Plaisted profile photo

Screenshots

Analytic Solver

Pricing Details

Analytic Solver

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

JMP Statistical Discovery Software from SAS

General
Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details