JMP Statistical Discovery Software from SAS vs. SAP BusinessObjects Business Intelligence

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
JMP Statistical Discovery Software from SAS
Score 8.3 out of 10
N/A
JMP is a division of SAS and the JMP family of products provide statistical discovery tools linked to dynamic data visualizations.
$125
per month
SAP BusinessObjects Business Intelligence
Score 8.1 out of 10
N/A
The SAP® BusinessObjects™ Business Intelligence Platform provides users with ad hoc queries, reporting, data visualizations, and analysis tools. Its integrated, unified infrastructure aims to offer scalability from one-to-many tools and interfaces on-premise, in the cloud, or as a hybrid approach.N/A
Pricing
JMP Statistical Discovery Software from SASSAP BusinessObjects Business Intelligence
Editions & Modules
Personal License
$125.00
per month
Corporate License
$1,510.00
Per Month Per Unit
No answers on this topic
Offerings
Pricing Offerings
JMP Statistical Discovery Software from SASSAP BusinessObjects Business Intelligence
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
JMP Statistical Discovery Software from SASSAP BusinessObjects Business Intelligence
Considered Both Products
JMP Statistical Discovery Software from SAS

No answer on this topic

SAP BusinessObjects Business Intelligence
Top Pros
Top Cons
Features
JMP Statistical Discovery Software from SASSAP BusinessObjects Business Intelligence
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
JMP Statistical Discovery Software from SAS
9.5
9 Ratings
12% above category average
SAP BusinessObjects Business Intelligence
7.7
49 Ratings
6% below category average
Pixel Perfect reports10.01 Ratings7.444 Ratings
Customizable dashboards9.09 Ratings8.145 Ratings
Report Formatting Templates00 Ratings7.745 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
JMP Statistical Discovery Software from SAS
7.6
13 Ratings
5% below category average
SAP BusinessObjects Business Intelligence
8.2
46 Ratings
1% above category average
Drill-down analysis7.813 Ratings9.045 Ratings
Formatting capabilities6.612 Ratings8.345 Ratings
Integration with R or other statistical packages7.810 Ratings7.531 Ratings
Report sharing and collaboration8.113 Ratings8.245 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
JMP Statistical Discovery Software from SAS
8.7
12 Ratings
4% above category average
SAP BusinessObjects Business Intelligence
8.7
46 Ratings
4% above category average
Publish to Web9.09 Ratings8.338 Ratings
Publish to PDF8.712 Ratings7.944 Ratings
Report Versioning7.01 Ratings9.140 Ratings
Report Delivery Scheduling10.01 Ratings9.145 Ratings
Delivery to Remote Servers00 Ratings9.224 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
JMP Statistical Discovery Software from SAS
8.3
16 Ratings
2% above category average
SAP BusinessObjects Business Intelligence
8.3
41 Ratings
3% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)8.016 Ratings8.339 Ratings
Location Analytics / Geographic Visualization9.013 Ratings7.737 Ratings
Predictive Analytics7.913 Ratings8.936 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
JMP Statistical Discovery Software from SAS
-
Ratings
SAP BusinessObjects Business Intelligence
9.4
46 Ratings
9% above category average
Multi-User Support (named login)00 Ratings8.946 Ratings
Role-Based Security Model00 Ratings9.144 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.843 Ratings
Single Sign-On (SSO)00 Ratings9.927 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
JMP Statistical Discovery Software from SAS
-
Ratings
SAP BusinessObjects Business Intelligence
8.8
32 Ratings
10% above category average
Responsive Design for Web Access00 Ratings8.431 Ratings
Mobile Application00 Ratings9.026 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings9.128 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
JMP Statistical Discovery Software from SAS
-
Ratings
SAP BusinessObjects Business Intelligence
7.5
22 Ratings
5% below category average
REST API00 Ratings7.319 Ratings
Javascript API00 Ratings7.217 Ratings
iFrames00 Ratings8.116 Ratings
Java API00 Ratings7.520 Ratings
Themeable User Interface (UI)00 Ratings7.319 Ratings
Customizable Platform (Open Source)00 Ratings7.318 Ratings
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JMP Statistical Discovery Software from SASSAP BusinessObjects Business Intelligence
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User Ratings
JMP Statistical Discovery Software from SASSAP BusinessObjects Business Intelligence
Likelihood to Recommend
7.4
(28 ratings)
7.7
(71 ratings)
Likelihood to Renew
10.0
(16 ratings)
8.3
(24 ratings)
Usability
10.0
(5 ratings)
9.0
(14 ratings)
Availability
10.0
(1 ratings)
10.0
(5 ratings)
Performance
10.0
(1 ratings)
9.0
(10 ratings)
Support Rating
9.2
(7 ratings)
8.6
(16 ratings)
In-Person Training
-
(0 ratings)
10.0
(4 ratings)
Online Training
7.9
(3 ratings)
9.0
(2 ratings)
Implementation Rating
9.6
(2 ratings)
9.0
(8 ratings)
Configurability
-
(0 ratings)
9.0
(2 ratings)
Ease of integration
-
(0 ratings)
9.0
(1 ratings)
Product Scalability
10.0
(1 ratings)
9.0
(2 ratings)
Vendor post-sale
-
(0 ratings)
9.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
JMP Statistical Discovery Software from SASSAP BusinessObjects Business Intelligence
Likelihood to Recommend
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
Read full review
SAP
The proper management of SAP BusinessObjects Dashboards requires an expert on the team to manage and build reports. If an organization does not have the proper expertise on board to build and deploy reports it will fail. Data analytics, dropping into excel, and broadcasting of information are major bonuses for the use of SAP BusinessObjects Dashboards.
Read full review
Pros
SAS
  • 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.
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SAP
  • This software is easy to initially learn, and very powerful in producing reusable reports.
  • It is much faster than my company's internal manual queries. The ability to build off of a saved query and share queries to other users is a great positive.
  • My favorite part is that you can run queries in the background and it does not interfere with your current work or slow your computer down.
Read full review
Cons
SAS
  • 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.)
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SAP
  • The installation can be very complex and time-consuming, it requires a lot of planning and foresight as to what role the software will play in the organization.
  • The software has a relatively large learning curve that takes dedicated users months to get comfortable with, the UI is a bit intimidating for new users.
  • SAP could organize their help better, it can be difficult to find dependable solutions to issues via their website and support channels.
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Likelihood to Renew
SAS
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.
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SAP
The institution has decided to move in a different direction, and will be using MSBI for reporting. I have been very happy with the Business Objects suite of tools, and will continue to use them heavily until we make the transition.
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Usability
SAS
The overall usability of JMP is extremely good. What I really love about it is its ability to be useable for novices who have no coding experience, which is not the case with most other, similar, programs. It can output a fast and easy analysis without too much prior coding or statistical knowledge.
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SAP
From a server and client side perspective. the Business Intelligence Platform provides a foundation for all aspects of content development, distribution, analysis, collaboration and self service. Ease of use from targeted content delivery through controlled accessibility. Content exporting in the format of the users choice. Scheduling for internal or external delivery. Public and private folders for secure content access when requied. Web based for viewing on the users device of choice without the need to download additional applications.
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Reliability and Availability
SAS
No answers on this topic
SAP
When we implemented 3.1, we had a tough time managing the system: It took almost a year to stabilize.

With 4.0, we want to roll out to more users, and are holding back because of fears about the performance issue
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Performance
SAS
No answers on this topic
SAP
Overall, the tool (Web Intelligence 4.2) is fast and solid. One issue is a dependability on JAVA for a full feature report creation/edit capabilities (as opposed to limited HTML option). Second, planned end of JAVA support by major browsers (Chrome is already not supporting JAVA applet).
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Support Rating
SAS
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.
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SAP
SAP has released various versions of SAP BO BI. starting from 3.1 and going to 4.0,4.1,4.2 and latest being 4.3. SAP provides support to these new versions. As new versions keep on coming, support for the very old software goes out of scope from SAP. it is when the different organization plans to get their BO content migrated from a lower version to a newer version. The newer version had definitely added functionality and features which ease the work of users.
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In-Person Training
SAS
No answers on this topic
SAP
SAP authorized training is best, Please go ahead with it. Even lot of online training options/videos available for self learning
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Online Training
SAS
I have not used your online training. I use JMP manuals and SAS direct help.
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SAP
I haven't used it or got feedback from the end user.

Content looks to be pretty detailed. Focused on SQL but not BW.
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Implementation Rating
SAS
No answers on this topic
SAP
Hire specialists and experienced staff. Mix some beginners so that everyone is not a leader but a learner too. Plan well; architect well; break down implementation in small steps and move towards larger steps. Create a centralized and authorized SAP Business Objects implementation team.
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Alternatives Considered
SAS
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 software when there is a great free option.
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SAP
We selected SAP BusinessObjects Business Intelligence (BI) based on price. It can stack up against others in terms of price and honestly, that's about it. Salesforce Commerce does a hell of a better job at handling it. However, in the space of Business Intelligence, SAP can do more, and that's why at the end we went with it
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Scalability
SAS
No answers on this topic
SAP
SAP BusinessObjects Business Intelligence (BI) Platform supports SOA Service Oriented Architecture. You can start/restart/enable/disable all the servers. You can seamless do load balancing and clustering. It supports all leading application and web server. Supports LDAP SSO integration. People who can work on excel with training they can work on SAP Business Objects Web Intelligence, dashboard, Lumira, Information design tool product suite. Tool is very user friendly and easy to learn and implement
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Return on Investment
SAS
  • 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).
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SAP
  • By generating and distributing reports in a timely manner, we were able to save millions of dollars for the company which otherwise would not have been visible.
  • Almost realtime dashboard, saved the company a huge amount by showing the outages and kept the company from buying a tool to do just that.
  • It showed the customers who were not paying the bills and were missing in the system due to some loophole. This was visible by doing reporting on the theft usage of electricity.
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ScreenShots

JMP Statistical Discovery Software from SAS Screenshots

Screenshot of Graph Builder.Screenshot of Design of ExperimentsScreenshot of Hierarchical and KMeans clustering are available from the Multivariate platform.Screenshot of Scatterplot Multivariate AnalysisScreenshot of Survey Analysis