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
Klipfolio Klips
Score 6.0 out of 10
Small Businesses (1-50 employees)
Klipfolio is a customizable dashboard and reporting platform that provides real-time business insights. It is used by small to mid-sized businesses and agencies to track performance metrics and create tailored reports, and to consolidate, transform, and visualize data.
$90
per month
Pricing
JMP
Klipfolio Klips
Editions & Modules
JMP
$1320
per year per user
Base
$90
per month
Grow
$190
per month
Team
$350
per month
Offerings
Pricing Offerings
JMP
Klipfolio Klips
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Bulk discounts available.
Discount available for annual pricing. There are various implementation and training options available, from a 60 Day Proof of Concept, to Onboarding & Training, or ongoing dedicated Data Hero support.
MS Excel with AnalysisToolPak provides a home-grown solution, but requires a high degree of upkeep and is difficult to hand off. Minitab is the closes competitor, but JMP is better suited to the production environment, roughly equivalent in price, and has superior support.
Much better than Excel for deep data dives, but also much steeper learning curve. And the cost is significantly higher - Excel is provided by default, but we have to request a JMP license each year.
It is great because it has UI menus but it costs money whereas the other programs are free. That makes it ideal for beginners but I think that RStudio and Python are going to make someone a lot more marketable for future opportunities since most companies won't pay for the …
JMP Statistical Discovery Software was already being used at my company. Other statistical software tools such as dataConductor have an easier-to-use interface and do not require learning a scripting language to generate large quantities of data plots.
JMP is superior to the MS Excel product in its graphical presentation and graphical exploration platforms. It has minor deficiencies in the lack of a 'goal seek' formula (although one can sort of get to this using the simulation platforms in some of the higher level ML …
Compared to other, similar programs, JMP is outstanding in ease of use and ability to be used by almost anyone across an organization. It is more fluid, user friendly, and, most importantly, requires no coding experience. The only two areas where it is not as good as …
JMP is more user-friendly, in my opinion, as it doesn't require any coding or searching for hours into cryptic folders for the analysis you want to perform. It is also very good for recording large data sets. Moreover, it is compatible with Microsoft Excel.
For me, JMP is the best and easy way to run regressions. I wouldn't use it for other more advanced models. I decided to use it because we got it for free since we are technically an academic institution.
I have only used STATA as a statistical package, and they are completely different tools. JMP has a much better layout and ease of use, but may not be as powerful as STATA for advanced processes. Overall speed and ease of use makes it like a combination of ms excel and stata …
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.
Verified User
Anonymous
Chose JMP
Minitab, MODE. JMP is more user-friendly, interactive, and visual, with larger variety of analysis and tools. DOE platform itself is superior to any other software, instead of fitting the problem to classical design, the design is fitted to any problem and constraints.
MS Excel is good for manipulating data and providing flexible data arrays, but has serious deficiencies in its graphical displays and analytic capabilities. This is where JMP has its greatest advantages...see some of my previous comments, but I see these software applications …
Verified User
Anonymous
Chose JMP
Compared to: MSExcel - Useful from engineering data analysis perspective Matlab - cost/ expensive licensing
I much prefer the ability to code my programs which is the main method used in both SAS and R. These software choices allow for quicker, more efficient, and more advanced analysis techniques. The one area that JMP is above these is in graphics and visual displays of data. JMP …
Quality and Reliability Engineering Intern, Manufacturing, Intel
Chose JMP
Well, JMP is excellent for statistical analysis. So, this product it is well used for statistical analysis and data analytics.
Verified User
Anonymous
Chose JMP
As I stated before, you can use Excel to do many similar things to JMP; you can even use SAS to create graphs without having to do any sort of exporting. If you use SAS, however, you know these graphs are hideous, and sometimes using an Excel graphs makes you look like you are …
I heard good things from colleagues who have used JMP. We did not get too far down the SPSS route before we decided to go with JMP because of price and perceived benefit from my colleague's advice.
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 …
Verified User
Anonymous
Chose JMP
JMP is more powerful in terms of data graphing, correlation analysis, profiler capability, and DOE functionality.
It was clear that Klipfolio had the edge in terms of the number of third-party connectors and templates available, allowing us to quickly be up and running with various API integrations and visually stunning designs in only an hour. It was a no-brainer for us, and we're glad we …
Compared
to other tools, Klipfolio is a more versatile one. These features allow us to
create a dashboard that can incorporate data from several sources. In many
The responsive and friendly design of the website caught my attention first, after that I realized that the whole site is the same and it is very easy to enter the metrics of each site.
Klipfolio is a more flexible tool when we consider its many functions. These functions allows the us to create a dashboard which can combine multiple data sources. These combinations of data sources often provide deeper insights when compared with other visualization tools. …
Not quite as close but a lot of the data one uses goes to Klipfolio. It would be great if they were to connected more seamlessly. Sometimes using the data in Google Sheets and Google Slides is the easiest option, despite corporate wanting us to use the program more.
Klipfolio had by the far most user-friendly interface with the best visualization I found. The price was below average on the software I compared to when I first purchased Klipfolio back in 2018. Today I primarily use Microsoft Power BI, because it is part of the Microsoft …
Over the years, I have been required to work with other platforms to collect and analyze data for a variety of ad agencies and clients that I have worked with. It really came down to a Goldilocks comparison where we consistently found that dashboard platforms were bloated with …
I chose Klipfolio for its low-cost-of-entry, the easy to use designer/editor and multitude of data sources expecting to outgrow it 'someday', but have yet to encounter any significant limitations that would make me want to switch. Power BI and Tableau both have much larger …
These and many other BI tools are the most direct competitors. I only have experience with Klipfolio and Tableau. Tableau is definitely more capable, but much more difficult to learn and use. Klipfolio is simple and really packs a punch for its simplicity. I have yet to run …
Klipfolio had the best API. We could connect more MarTech with Klipfolio than any other BI tool we used. Klipfolio's API was also the most stable. We ran into connectivity issues with some of the competitors. The metrics wouldn't refresh because the API lost the connection …
Web Analytics and Data dashboarding (consulting mandate)
Chose Klipfolio Klips
Klipfolio is certainly the best solution for dashboards. Compared to Power BI, Power BI is more of an analyst tool to build deep analysis and reports. Making and sharing dashboards in Power BI is a pain. Tableau is great but cost way more. Also, the skills needed to build …
They are all based on a similar methodology (Excel) but I felt Klipfolio had better integrations and their support team has been the difference maker. For a company that needs some hand-holding and guidance, Klipfolio is the right choice.
Klipfolio is the better choice, because they have a better price and upgraded flexible plans, many more data connectors, and a good support from the technical team. The Klip constructor is better in graphs, formulas and they have a "snippet code" for programmers. Works better …
I have not personally tried any other products like Klipfolio, but based on my personal experience Klipfolio has a strong foundation for their platform and I feel its only going to get better over time as they grow. I would encourage people to give a few platforms a try and I …
They have good support, forums, tutorials, webinars, agents to track your progress, klipfolio university, klipfolio gallery and klipfolio insiders with all the rewards.
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.
It's a piece of software that's capable of almost anything. Dynamic variables can be changed in real-time via the interface's UI/UX and UI/UX customizations. As a result, it can always keep its database up-to-date and obtain the most current information from a variety of sources. The Klip customer service team is extremely friendly and helpful. Every time a problem with the Klip setup arises, they're there to help. As a result of their activities, they try to work with the group's experience.
Dashboard design. Super simple and easy to set up, move and size components, and display.
Klip creation. This is report/chart creation. Klipfolio straddles the line well between ease-of-use and robust capability for data crunching and visualization.
Data sync. I have had very few data sync issues. The sync just works and it is very light-weight on API calls.
Multiple data source formats. You can make data sources in JSON, Summarized View, and Detailed View.
Modeled data sources. You can create modeled versions of any data source, which allows you to lock in data formats, add columns (including formula columns), and more.
Team permissions. I have been able to set team permission sets and use that to display the given dashboards around the office. With this, I can control who has access to which data.
Chart options. There is a great selection of chart types to choose from.
Great support. Their support staff has always been very responsive—almost always immediate. I have always been able to resolve my issues with them.
Onboarding. The process of setting up a new client for a dashboard can be a little tedious.
File size upload and third-party integrations. I have been limited to the size of the .csv file we were uploading but we were able to find a workaround.
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 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.
My initial impressions of the software have been extremely positive. There are YouTube tutorials that explain how to make klips. The intuitive design of the UI It appears that everything in this software has been thoroughly tested to create all the visualizations that can be imagined as well as the user input controls that allow users to have exactly the data they want to be displayed in seconds, considering the various functions and formulas available in the Excel integrations and the extensive list of other services that can be integrated.
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.
It provides all the necessary information to be able to carry out the analysis of any type of business, to know how money is managed virtually, what to do to have greater visibility, in addition to being a platform that is always accessible and allows continuous and efficient work.
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.
It was clear that Klipfolio had the edge in terms of the number of third-party connectors and templates available, allowing us to quickly be up and running with various API integrations and visually stunning designs in only an hour. It was a no-brainer for us, and we're glad we went with them instead of the other options.
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.
Klipfolio not only delivers great-looking dashboards, but it makes our agency look awesome to our clients!
Klipfolio is one of the few platforms that we have implemented where the minimal investment has consistently provided maximum results in the return on our investment.
Not only had Klipfolio proven to be a fiscally smart - money-saving - move, but has also proven to be a great time saver as well.
Thanks to Klipfolio we spend less time having to pull data and have more time to analyze and strategize for our reporting and recommendations to our clients.