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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    JMP

    Score9.8 out of 10
    N/AJMP® 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

    Smartsheet

    Score8.3 out of 10
    N/ASmartsheet is an online project management and collaboration tool. It includes automated alerts, instantaneous updating and sharing across team members, resource management, nested tasks organized in a hierarchy, a Gantt chart view, exportable and automated reports, and integration with email.

    $12

    per month per user (up to 10 users)

    Pricing
    JMPSmartsheet
    Editions & Modules
    JMP
    $1320
    per year per user
    Pro
    $12
    per month per user (up to 10 users)
    Business
    $24
    per month per user (3 user minimum)
    Enterprise
    Contact Sales
    Advanced Work Management
    Contact Sales
    Offerings
    Pricing Offerings
    JMPSmartsheet
    Free Trial
    YesYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsBulk discounts available.A discount is offered for annual billing.
    More Pricing Information
    Community Pulse
    JMPSmartsheet
    Considered Both Products
    JMP Statistical Discovery
    No answer on this topic
    Smartsheet
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    9 Answers
    90%
    Would buy again
    62 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    97%
    Delivers good value for the price
    58 Answers
    Happy with the feature set
    89%
    Happy with the feature set
    8 Answers
    88%
    Happy with the feature set
    61 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    98%
    Lived up to sales and marketing promises
    47 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    6 Answers
    96%
    Implementation went as expected
    51 Answers
    Features
    JMPSmartsheet
    Project Management
    Comparison of Project Management features of JMP and Smartsheet
    Feature
    JMP
    -
    Ratings
    Smartsheet
    9.1
    129 Ratings
    17% above category average
    Task Management00 Ratings9.8126 Ratings
    Resource Management00 Ratings10.0108 Ratings
    Gantt Charts00 Ratings9.0109 Ratings
    Scheduling00 Ratings9.8111 Ratings
    Workflow Automation00 Ratings9.2100 Ratings
    Team Collaboration00 Ratings10.0122 Ratings
    Support for Agile Methodology00 Ratings8.981 Ratings
    Support for Waterfall Methodology00 Ratings9.079 Ratings
    Document Management00 Ratings9.2101 Ratings
    Email integration00 Ratings9.0100 Ratings
    Mobile Access00 Ratings8.096 Ratings
    Timesheet Tracking00 Ratings9.762 Ratings
    Change request and Case Management00 Ratings8.169 Ratings
    Budget and Expense Management00 Ratings8.075 Ratings
    Professional Services Automation
    Comparison of Professional Services Automation features of JMP and Smartsheet
    Feature
    JMP
    -
    Ratings
    Smartsheet
    7.9
    66 Ratings
    3% above category average
    Quotes/estimates00 Ratings8.144 Ratings
    Invoicing00 Ratings7.537 Ratings
    Project & financial reporting00 Ratings8.760 Ratings
    Integration with accounting software00 Ratings7.332 Ratings
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    JMPSmartsheet
    Small Businesses
    IBM SPSS Statistics
    Score8 out of 10
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    Score8 out of 10
    Medium-sized Companies
    Alteryx Platform
    Score9 out of 10
    KanbanFlow
    Score7.3 out of 10
    Enterprises
    Alteryx Platform
    Score9 out of 10
    Microsoft To Do
    Score7.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    JMPSmartsheet
    Likelihood to Recommend
    9.8
    (30 ratings)
    9.3
    (146 ratings)
    Likelihood to Renew
    10.0
    (16 ratings)
    9.0
    (24 ratings)
    Usability
    8.8
    (7 ratings)
    9.2
    (17 ratings)
    Availability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Support Rating
    9.2
    (7 ratings)
    8.1
    (45 ratings)
    Online Training
    7.9
    (3 ratings)
    7.0
    (1 ratings)
    Implementation Rating
    9.6
    (2 ratings)
    10.0
    (6 ratings)
    Data Sharing and Collaboration
    4.0
    (1 ratings)
    -
    (0 ratings)
    Data Sources
    5.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    JMPSmartsheet
    Likelihood to Recommend
    JMP Statistical Discovery
    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
    Read full review
    Smartsheet
    Smartsheet shines for collaboration. When you have multiple people involved with planning events Smartsheet makes it easy to share and collaborate. For instance, multiple people can be in Smartsheet working at the same time. Also setting permissions for exactly those who need to know is quite easy with Smartsheet. For data analytics and general spreadsheet purposes Excel is better but for project management and event planning Smartsheet is superior
    Incentivized
    Read full review
    Pros
    JMP Statistical Discovery
    • 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.
    Read full review
    Smartsheet
    • Its hard to overstate the value of familiarity. Being able to use a tool that has some familiarity takes away the time needed to train and orient employees on a new tool and allows an organization to hit the ground running.
    • Smartsheet covers most of the basics of a project management tool, the usual tasks, milestones and project viewing options.
    • For data viewing, you get multiple data viewing options including a calendar view (good for marketing teams and those who work around scheduling), Kanban, Gaant etc
    Incentivized
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    Cons
    JMP Statistical Discovery
    • In general JMP is much better fit for a general "data mining" type application. If you want a specific statistics based toolbox, (meaning you just want to run some predetermined test, like testing for a different proportion) then JMP works, but is not the best. JMP is much more suited to taking a data set and starting from "square 1" and exploring it through a range of analytics.
    • The CPK (process capability) module output is shockingly poor in JMP. This sticks out because, while as a rule everything in JMP is very visual and presentable, the CPK graph is a single-line-on-grey-background drawing. It is not intuitive, and really doesn't tell the story. (This is in contrast with a capability graph in Minitab, which is intuitive and tells a story right off.) This is also the case with the "guage study" output, used for mulivary analysis in a Six Sigma project. It is not intuitive and you need to do a lot of tweaking to make the graph tell you the story right off. I have given this feedback to JMP, and it is possible that it will be addressed in future versions.
    • I've never heard of JMP allowing floating licenses in a company. This will ALWAYS be a huge sticking point for small to middle size companies, that don't have teams people dedicated to analytics all day. If every person that would do problem solving needs his/her own seat, the cost can be prohibitive. (It gets cheaper by the seat as you add licenses, but for a small company that might get no more than 5 users, it is still a hard sell.)
    Read full review
    Smartsheet
    • Smartsheet set up is similar to Excel, yet when you upload an Excel file, things like conditional formatting are lost. Smartsheet has its own conditional formatting, and you have to reinstate the rules. It would be great if those would apply automatically once a file is uploaded
    • Some Smartsheet management and access rules can take some tweaking to work properly. This may be a case of offering more info to admins so they can apply these better and with more efficiency
    Incentivized
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    Likelihood to Renew
    JMP Statistical Discovery
    JMP has been good at releasing updates and adding new features and their support is good. Analytics is quick and you don't need scripting/programming experience. It has been used organization wide, and works well in that respect. Open source means that there are concerns regarding timely support. Cheap licensing and easy to maintain.
    Read full review
    Smartsheet
    It definitely meets our needs as far as organizing and archiving our tasks and files. As we train more staff to view it, I see opportunities for more improvement, which I am sure this program can handle. I look forward to seeing continued improvement from Smartsheet on their capabilities and functionality.
    Incentivized
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    Usability
    JMP Statistical Discovery
    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
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    Smartsheet
    Smartsheet is very easy to learn. However, while I have been able to pick it easily, Microsoft Excel and Project super users that I have trained on Smartsheet get bogged down in the differences and can find it frustrating. Explaining the differences ahead of time and why Smartsheet is being chosen instead of a different software seems to counteract those reactions
    Incentivized
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    Support Rating
    JMP Statistical Discovery
    Support is great and give ease of contact, rapid response, and willingness to 'stick to the task' until resolution or acknowledgement that the problem would have to be resolved in a future build. Basically, one gets the very real sense that another human being is sensitive to your problems - great or small.
    Incentivized
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    Smartsheet
    I give this rating because it fills a niche in the market. MS Project scares many away from proper task management but there are limited tools our there, especially cloud-based that are mobile-friendly. Smartsheet fills this market gap, especially for small to medium-sized businesses. IT is not fair to compare it to MS Project, but fairer to see what gaps it fills.
    Incentivized
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    Online Training
    JMP Statistical Discovery
    I have not used your online training. I use JMP manuals and SAS direct help.
    Read full review
    Smartsheet
    No answers on this topic
    Implementation Rating
    JMP Statistical Discovery
    No answers on this topic
    Smartsheet
    It's absolutely paramount to take a few minutes to actually play with the software. It's nearly impossible to do anything wrong or make a mistake which cannot be fixed easily. Under the help menu is Live Training option. After you familiarize yourself with the commands, watch the live training for some in depth understanding of how to make the software fit your needs perfectly.
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    Alternatives Considered
    JMP Statistical Discovery
    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.
    Incentivized
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    Smartsheet
    Jira and Redmine are much more robust and technologically advanced project management solutions. I enjoy using either when managing a very large project. However, I prefer to use Smartsheet for my smaller to medium sized projects. As for Google Drive - I would say that Google sheets and Smartsheet are almost identical in my opinion when it comes to functionality. Personally I prefer to manage smaller projects via Google Drive, but it is a personal preference!
    Incentivized
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    Return on Investment
    JMP Statistical Discovery
    • ROI: Even if the cost can be high, the insights you get out of the tool would definitely be much more valuable than the actual cost of the software. In my case, most of the results of your analysis were shown to the client, who was blown away, making the money spent well worth for us.
    • Potential negative: If you are not sure your team will use it, there's a chance you will just waste money. Sometimes the IT department (usually) tries to deploy a better tool for the entire organization but they keep using the old tool they are used too (most likely MS Excel).
    Incentivized
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    Smartsheet
    • This has really opened up collaboration across teams. A lot less working in silos.
    • It hasn't fully replaced any one tool so it means having to go to another place. Hopefully, we can eliminate a tool or two in the next six months.
    Incentivized
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    ScreenShots

    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.