<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener'>Customer Verified: Read more.</a>
Top Rated
510 Ratings

IBM Cognos Analytics with Watson

<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener'>Customer Verified: Read more.</a>
Top Rated
510 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.3 out of 100
87 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 7.9 out of 100

Feature Set Ratings

  • IBM Cognos Analytics with Watson ranks higher in 2 feature sets: Ad-hoc Reporting, Report Output and Scheduling
  • JMP Statistical Discovery Software from SAS ranks higher in 2 feature sets: BI Standard Reporting, Data Discovery and Visualization

BI Standard Reporting

8.3

IBM Cognos Analytics with Watson

83%
9.5

JMP Statistical Discovery Software from SAS

95%
JMP Statistical Discovery Software from SAS ranks higher in 2/3 features

Pixel Perfect reports

8.2
82%
65 Ratings
10.0
100%
1 Rating

Customizable dashboards

8.4
84%
70 Ratings
9.0
90%
9 Ratings

Report Formatting Templates

8.3
83%
69 Ratings
N/A
0 Ratings

Ad-hoc Reporting

8.7

IBM Cognos Analytics with Watson

87%
7.5

JMP Statistical Discovery Software from SAS

75%
IBM Cognos Analytics with Watson ranks higher in 4/4 features

Drill-down analysis

8.8
88%
72 Ratings
7.7
77%
13 Ratings

Formatting capabilities

8.7
87%
73 Ratings
6.5
65%
12 Ratings

Integration with R or other statistical packages

8.3
83%
46 Ratings
7.7
77%
10 Ratings

Report sharing and collaboration

8.8
88%
71 Ratings
8.0
80%
13 Ratings

Report Output and Scheduling

8.7

IBM Cognos Analytics with Watson

87%
8.6

JMP Statistical Discovery Software from SAS

86%
IBM Cognos Analytics with Watson ranks higher in 3/5 features

Publish to Web

8.3
83%
26 Ratings
9.0
90%
9 Ratings

Publish to PDF

9.2
92%
69 Ratings
8.5
85%
12 Ratings

Report Versioning

8.6
86%
25 Ratings
7.0
70%
1 Rating

Report Delivery Scheduling

9.1
91%
72 Ratings
10.0
100%
1 Rating

Delivery to Remote Servers

8.1
81%
12 Ratings
N/A
0 Ratings

Data Discovery and Visualization

7.8

IBM Cognos Analytics with Watson

78%
8.3

JMP Statistical Discovery Software from SAS

83%
JMP Statistical Discovery Software from SAS ranks higher in 3/3 features

Pre-built visualization formats (heatmaps, scatter plots etc.)

7.9
79%
60 Ratings
8.0
80%
16 Ratings

Location Analytics / Geographic Visualization

8.0
80%
58 Ratings
9.0
90%
13 Ratings

Predictive Analytics

7.4
74%
56 Ratings
8.0
80%
13 Ratings

Access Control and Security

8.9

IBM Cognos Analytics with Watson

89%

JMP Statistical Discovery Software from SAS

Feature Set Not Supported
N/A
IBM Cognos Analytics with Watson ranks higher in 4/4 features

Multi-User Support (named login)

9.0
90%
67 Ratings
N/A
0 Ratings

Role-Based Security Model

8.8
88%
66 Ratings
N/A
0 Ratings

Multiple Access Permission Levels (Create, Read, Delete)

9.1
91%
66 Ratings
N/A
0 Ratings

Single Sign-On (SSO)

8.8
88%
49 Ratings
N/A
0 Ratings

Mobile Capabilities

7.2

IBM Cognos Analytics with Watson

72%

JMP Statistical Discovery Software from SAS

Feature Set Not Supported
N/A
IBM Cognos Analytics with Watson ranks higher in 3/3 features

Responsive Design for Web Access

7.8
78%
52 Ratings
N/A
0 Ratings

Mobile Application

7.6
76%
81 Ratings
N/A
0 Ratings

Dashboard / Report / Visualization Interactivity on Mobile

7.5
75%
50 Ratings
N/A
0 Ratings

Application Program Interfaces (APIs) / Embedding

7.8

IBM Cognos Analytics with Watson

78%

JMP Statistical Discovery Software from SAS

Feature Set Not Supported
N/A
IBM Cognos Analytics with Watson ranks higher in 6/6 features

REST API

8.4
84%
37 Ratings
N/A
0 Ratings

Javascript API

8.5
85%
35 Ratings
N/A
0 Ratings

iFrames

8.3
83%
9 Ratings
N/A
0 Ratings

Java API

6.9
69%
11 Ratings
N/A
0 Ratings

Themeable User Interface (UI)

7.1
71%
10 Ratings
N/A
0 Ratings

Customizable Platform (Open Source)

7.8
78%
7 Ratings
N/A
0 Ratings

Attribute Ratings

  • IBM Cognos Analytics with Watson is rated higher in 3 areas: Likelihood to Recommend, Support Rating, Online Training
  • JMP Statistical Discovery Software from SAS is rated higher in 4 areas: Usability, Availability, Performance, Implementation Rating
  • IBM Cognos Analytics with Watson and JMP Statistical Discovery Software from SAS are tied in 2 areas: Likelihood to Renew, Product Scalability

Likelihood to Recommend

8.1

IBM Cognos Analytics with Watson

81%
96 Ratings
7.3

JMP Statistical Discovery Software from SAS

73%
28 Ratings

Likelihood to Renew

10.0

IBM Cognos Analytics with Watson

100%
24 Ratings
10.0

JMP Statistical Discovery Software from SAS

100%
16 Ratings

Usability

8.0

IBM Cognos Analytics with Watson

80%
7 Ratings
10.0

JMP Statistical Discovery Software from SAS

100%
5 Ratings

Availability

8.6

IBM Cognos Analytics with Watson

86%
8 Ratings
10.0

JMP Statistical Discovery Software from SAS

100%
2 Ratings

Performance

9.0

IBM Cognos Analytics with Watson

90%
10 Ratings
10.0

JMP Statistical Discovery Software from SAS

100%
2 Ratings

Support Rating

10.0

IBM Cognos Analytics with Watson

100%
15 Ratings
9.2

JMP Statistical Discovery Software from SAS

92%
14 Ratings

In-Person Training

8.7

IBM Cognos Analytics with Watson

87%
4 Ratings

JMP Statistical Discovery Software from SAS

N/A
0 Ratings

Online Training

8.0

IBM Cognos Analytics with Watson

80%
4 Ratings
7.9

JMP Statistical Discovery Software from SAS

79%
3 Ratings

Implementation Rating

7.0

IBM Cognos Analytics with Watson

70%
14 Ratings
9.6

JMP Statistical Discovery Software from SAS

96%
4 Ratings

Configurability

8.0

IBM Cognos Analytics with Watson

80%
2 Ratings

JMP Statistical Discovery Software from SAS

N/A
0 Ratings

Ease of integration

8.0

IBM Cognos Analytics with Watson

80%
2 Ratings

JMP Statistical Discovery Software from SAS

N/A
0 Ratings

Product Scalability

10.0

IBM Cognos Analytics with Watson

100%
2 Ratings
10.0

JMP Statistical Discovery Software from SAS

100%
1 Rating

Vendor post-sale

7.0

IBM Cognos Analytics with Watson

70%
1 Rating

JMP Statistical Discovery Software from SAS

N/A
0 Ratings

Vendor pre-sale

7.0

IBM Cognos Analytics with Watson

70%
1 Rating

JMP Statistical Discovery Software from SAS

N/A
0 Ratings

Likelihood to Recommend

IBM

IBM Cognos Analytics provides our organization with a workspace for data visualization and analysis, with a wide variety of customization options. It is well suited for exploring and discovering trends with the information provided in real time. It has the ability to create very attractive reports and dashboards. It offers robust controls for comprehensive data protection, generating reliability in the use of significant information
Read full review

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

Pros

IBM

  • Pixel perfect reports. If a client can provide a pixel-perfect mockup, I can make the report indistinguishable from the mockup.
  • Data security. It doesn't matter who the user is; when they log in and run a report, they will only see the data they are permitted to see.
  • Performant reports on large data. Many tools have issues running on tables containing only a few million rows. Cognos can consistently run reports on multi-billion row tables without issue.
  • Embedding reports in third-party tools. With Cognos Mashup Services, it is possible to build a report in IBM Cognos Analytics with Watson and call it programmatically. Need straight HTML? No problem. JSON? Atom? All good.
Read full review

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.
Read full review

Cons

IBM

  • OLAP-cubes MUST IMMEDIATELY be upgraded to 64-bit-technology (if not, we are lost as Cognos/IBM-customer).
  • Easier integration of complex authorisation systems (concepts) into cubes (vertical as well as horizontal authorisation).
  • Much more statistics-functionality in cubes! (IBM bought SPSS 10 years ago!! where is the benefit of Cognos-users!!)!!!
Read full review

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.)
Read full review

Pricing Details

IBM Cognos Analytics with Watson

Starting Price

$10 per month per user

Editions & Modules

IBM Cognos Analytics with Watson editions and modules pricing
EditionModules
On Demand - Standard$10.001
On Demand - Premium$40.002

Footnotes

  1. per month per user
  2. per month per user

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

Optional

Additional Details

30-day free trial available.

Pricing Info

JMP Statistical Discovery Software from SAS

Starting Price

$125 per month

Editions & Modules

JMP Statistical Discovery Software from SAS editions and modules pricing
EditionModules
Personal License$125.001
Corporate License$1,510.002

Footnotes

  1. per month
  2. Per Month Per Unit

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

Likelihood to Renew

IBM

For an existing solution, renewing licenses does provide a good return on investment. Additionally, while rolling out scorecards and dashboards with little adhoc capabilities, to end users, cognos is very easily scalable. It also allows to create a solution that has a mix of OLAP and relational data-sources, which is a limitation with other tools. Synchronizing with existing security setup is easy too.
Read full review

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.
Read full review

Usability

IBM

We have a strong user base (3500 users) that are highly utilizing this tool. Basic users are able to consume content within the applied security model. We have a set of advanced users that really push the limits of Cognos with Report and Query Studio. These users have created a lot of personal content and stored it in 'My Reports'. Users enjoy this flexibility.
Read full review

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.
Read full review

Reliability and Availability

IBM

Reports can typically be viewed through any browser that can access the server, so the availability is ultimately up to what the company utilizing it is comfortable with allowing, though report development tends to be more picky about browsers and settings as mentioned above. It also has an optional iPad app and general mobile browsing support, but dashboards lack the mobile compatibility. What keeps it from getting a higher score is the desktop tools that are vital to the development process. The compatibility with only Windows when the server has a wide range of compatibility can be a real sore point for a company that outfits its employees exclusively with Mac or Linux machines. Of course, if they are planning on outsourcing the development anyways, it's a rather moot point
Read full review

SAS

No answers on this topic

Performance

IBM

Overall no major complaints but it doesn't handle DMR (Dimensionally Modeled for Relational) very well. DMR modelling is a capability that IBM Cognos Framework Manager provides allowing you to specify dimensional information for relational metadata and allows for OLAP-style queries. However, the capability is not very efficient and, for example, if I'm using only 2 columns on a 20-column model, the software is not smart enough to exclude 18 columns and the query side gets progressively larger and larger until it's effectively unusable.
Read full review

SAS

No answers on this topic

Support Rating

IBM

Why is their web application not working as fast as you think it should? They never know, and it is always a a bunch of shots in the dark to find out. Trying to download software from them is like trying to find a book at the library before computers were invented.
Read full review

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.
Read full review

In-Person Training

IBM

Onsite training provided by IBM Cognos was effective and as expected. They did not perform training with our data which was a bit difficult for our end-users.
Read full review

SAS

No answers on this topic

Online Training

IBM

The online courses they offer are thorough and presented in such a way that someone who isn't already familiar with the general design methodologies used in this field will be capable of making a good design. The training environments are provided as a fully self contained virtual machine with everything needed already to create the environments. We've had some persisting issues with the environments becoming unavailable, but support has been responsive when these issues arise and straightening them out for us
Read full review

SAS

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

Implementation Rating

IBM

Make sure that any custom tables that you have, are built into your metadata packages. You can still access them via SQL queries in Cognos, but it is much easier to have them as a part of the available metadata packages.
Read full review

SAS

No answers on this topic

Alternatives Considered

IBM

The AI and the automation in IBM Cognos Analytics are pretty simple to use and almost provide accurate data. The report part compared to the Medidata Rave is always efficient and error-proof I got the reports nearly 90 percent. The analysis is pretty good I actually got the outcome that I wanted to produce.
Read full review

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.
Read full review

Scalability

IBM

The Cognos architecture is well suited for scalability. However, the architecture must be designed with scalability in mind from day one of the implementation. We recently upgraded from 10.1 to 10.2.1 and took the opportunity to revamp our architecture. It is now poised for future growth and scalability.
Read full review

SAS

No answers on this topic

Return on Investment

IBM

  • The team that implemented this software tells me that the ROI is not obtained instantly; it must go through long months before obtaining good results.
  • There are functions that are not easy for all users; this makes it difficult to obtain positive results in the first months.
  • A year has to pass before noticing that after its configuration, we can work without delays.
Read full review

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).
Read full review

Screenshots

Add comparison