JMP vs. Roambi (discontinued)

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.

I would recommend Roambi for its ease-of-use and quick deployment. It is very visually rich and eye-catching, and I believe it is best suited for presenting business & finance dashboard to C-level management and sales representatives in the field. Because it can be accessed on the iPhone or iPad, it is very mobile and the Apple touch interfaces are nearly flawless. If an organization needs to really dig deep into their data, I would look elsewhere, as Roambi has certain limitations.

• 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.

Incentivized

• Very intuitive user interface that exploits the touch capabilities of tablets and smartphones very well.
• Offline capability - extremely helpful for sales people that can not always be online.
• Integration with existing BI solutions - almost all of our clients have already a BI Infrastructure. Roambi integrates very well.

• 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.

Incentivized

• The system that performs the rendering of data to the front-end can be improved to intelligently read the back end data template or at least the layout. Inserting new rows/columns of data completely messes up the rendering on the front end and the process of re-selecting information to ensure proper rendering is a very tedious one.
• Also, Roambi should have the capability to analyse information in formats other than excel such as word, ppts and/or pdfs. I found the lack of this capability a major hurdle because each time I had to export information into excel to render into a template.

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.

The only reason we would not renew is if there is something out there that is less expensive that is cross-platform for mobile devices. Our clients are no longer exclusively using iOS, so in order to keep their business, we need to change with them.

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.

Incentivized

VERY easy to use. Only limited by how the graphs and data is initially set up.

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.

Incentivized

I have not used your online training. I use JMP manuals and SAS direct help.

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.

Comparing the mobile capabilities of both products - as of course, Tibco Spotfire is a complete solution whereas Roambi focuses on mobility. While some would argue that the ten View (template) limitation of Roambi works in favor of competitors, we have found this to be untrue. Users quickly get used to this native interfaces, which are found across the templates. Additionally, the ten available Views cover 99% of the types of reports or insights you'd ever need. If this is not the case, are you sure you are asking the right questions?

• 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.

Incentivized

• positive ROI
• and any analytical tool needs more historical data for accurate analysis, in that case, roambi 's part is as a presenter can't influence the ROI exactly..
• overall objective its a value addition for sap based data analytics and others as well.
• for CIO or analytics people good tool to convince their business users and executives.

Incentivized