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Top Rated
452 Ratings

IBM Cognos Analytics

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Top Rated
452 Ratings
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Score 7.7 out of 100
77 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

IBM Cognos Analytics

Well suited:* simple reports for simple users ("big button-users", mostly managers or CEOs)* analyze date in cubes (finding "most important customer-group", finding "outliers" / "exceptions"; seeing historical development of...)Less appropriate: * beautiful reports for the general public! Be it paper, be it in electronic form (online)
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from 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
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

BI Standard Reporting

IBM Cognos Analytics
7.8
JMP Statistical Discovery Software from SAS
9.3
Pixel Perfect reports
IBM Cognos Analytics
7.1
JMP Statistical Discovery Software from SAS
10.0
Customizable dashboards
IBM Cognos Analytics
8.3
JMP Statistical Discovery Software from SAS
8.7
Report Formatting Templates
IBM Cognos Analytics
8.0
JMP Statistical Discovery Software from SAS

Ad-hoc Reporting

IBM Cognos Analytics
8.1
JMP Statistical Discovery Software from SAS
8.8
Drill-down analysis
IBM Cognos Analytics
8.4
JMP Statistical Discovery Software from SAS
8.8
Formatting capabilities
IBM Cognos Analytics
7.6
JMP Statistical Discovery Software from SAS
9.3
Integration with R or other statistical packages
IBM Cognos Analytics
8.0
JMP Statistical Discovery Software from SAS
8.0
Report sharing and collaboration
IBM Cognos Analytics
8.3
JMP Statistical Discovery Software from SAS
9.2

Report Output and Scheduling

IBM Cognos Analytics
8.2
JMP Statistical Discovery Software from SAS
8.5
Publish to Web
IBM Cognos Analytics
8.3
JMP Statistical Discovery Software from SAS
7.5
Publish to PDF
IBM Cognos Analytics
8.3
JMP Statistical Discovery Software from SAS
9.6
Report Versioning
IBM Cognos Analytics
8.6
JMP Statistical Discovery Software from SAS
7.0
Report Delivery Scheduling
IBM Cognos Analytics
7.7
JMP Statistical Discovery Software from SAS
10.0
Delivery to Remote Servers
IBM Cognos Analytics
8.0
JMP Statistical Discovery Software from SAS

Data Discovery and Visualization

IBM Cognos Analytics
8.2
JMP Statistical Discovery Software from SAS
8.9
Pre-built visualization formats (heatmaps, scatter plots etc.)
IBM Cognos Analytics
8.1
JMP Statistical Discovery Software from SAS
9.0
Location Analytics / Geographic Visualization
IBM Cognos Analytics
8.1
JMP Statistical Discovery Software from SAS
9.2
Predictive Analytics
IBM Cognos Analytics
8.3
JMP Statistical Discovery Software from SAS
8.6

Access Control and Security

IBM Cognos Analytics
8.8
JMP Statistical Discovery Software from SAS
Multi-User Support (named login)
IBM Cognos Analytics
8.9
JMP Statistical Discovery Software from SAS
Role-Based Security Model
IBM Cognos Analytics
8.8
JMP Statistical Discovery Software from SAS
Multiple Access Permission Levels (Create, Read, Delete)
IBM Cognos Analytics
8.6
JMP Statistical Discovery Software from SAS
Single Sign-On (SSO)
IBM Cognos Analytics
8.7
JMP Statistical Discovery Software from SAS

Mobile Capabilities

IBM Cognos Analytics
6.4
JMP Statistical Discovery Software from SAS
Responsive Design for Web Access
IBM Cognos Analytics
6.9
JMP Statistical Discovery Software from SAS
Dedicated iOS Application
IBM Cognos Analytics
6.7
JMP Statistical Discovery Software from SAS
Dedicated Android Application
IBM Cognos Analytics
5.6
JMP Statistical Discovery Software from SAS
Dashboard / Report / Visualization Interactivity on Mobile
IBM Cognos Analytics
6.4
JMP Statistical Discovery Software from SAS

Application Program Interfaces (APIs) / Embedding

IBM Cognos Analytics
7.3
JMP Statistical Discovery Software from SAS
REST API
IBM Cognos Analytics
7.7
JMP Statistical Discovery Software from SAS
Javascript API
IBM Cognos Analytics
7.5
JMP Statistical Discovery Software from SAS
iFrames
IBM Cognos Analytics
7.8
JMP Statistical Discovery Software from SAS
Java API
IBM Cognos Analytics
6.6
JMP Statistical Discovery Software from SAS
Themeable User Interface (UI)
IBM Cognos Analytics
6.9
JMP Statistical Discovery Software from SAS
Customizable Platform (Open Source)
IBM Cognos Analytics
7.1
JMP Statistical Discovery Software from SAS

Pros

IBM Cognos Analytics

  • What IBM Cognos does really well is provide precise data that may otherwise be hard to retrieve from your primary accounting software. While doing so, it organizes this data such that it becomes much more meaningful to analyze.
  • IBM Cognos also does a fantastic job through the Query Studio module to give certain users the ability to create simple reports and modify existing reports, this allows the flexibility a user needs in getting the intended data.
  • IBM Cognos also provides the ability to utilize a BI tool for complicated reporting requirements or in cases when there are many data dependencies that exist. This BI tool enables Cognos to tackle many organizational and data challenges that companies face in the industry.
Nabeel Chohan | TrustRadius Reviewer

JMP Statistical Discovery Software from 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.
Wayne Levin | TrustRadius Reviewer

Cons

IBM Cognos Analytics

  • With the upgrade from Cognos 10 to Cognos 11, there were a lot of features, like run schedule once, weren't brought over to the newest version of Report Studio.
  • I felt like they were trying to chase Tableau and Qlik with dashboarding rather than focusing on their bread and butter of Report Studio or which other Business Intelligence tools don't do very well.
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from 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.)
Eric Burton | TrustRadius Reviewer

Likelihood to Renew

IBM Cognos Analytics

IBM Cognos Analytics 7.9
Based on 23 answers
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.
Sachin Karkun | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 10.0
Based on 16 answers
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.
Anonymous | TrustRadius Reviewer

Usability

IBM Cognos Analytics

IBM Cognos Analytics 7.5
Based on 6 answers
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.
Robert Goodman | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 10.0
Based on 5 answers
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.
Shelby Bowden | TrustRadius Reviewer

Reliability and Availability

IBM Cognos Analytics

IBM Cognos Analytics 8.6
Based on 8 answers
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
Gerrit Goewey | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 10.0
Based on 1 answer
No answer on this topic is available.

Performance

IBM Cognos Analytics

IBM Cognos Analytics 9.0
Based on 10 answers
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.
Meghdeep Raval, PMP | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 10.0
Based on 1 answer
No answer on this topic is available.

Support Rating

IBM Cognos Analytics

IBM Cognos Analytics 7.0
Based on 14 answers
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.
Jonathan Kyrlach | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 9.2
Based on 9 answers
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.
Anonymous | TrustRadius Reviewer

In-Person Training

IBM Cognos Analytics

IBM Cognos Analytics 8.7
Based on 4 answers
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.
Robert Goodman | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

No score
No answers yet
No answers on this topic

Online Training

IBM Cognos Analytics

IBM Cognos Analytics 8.0
Based on 4 answers
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
Gerrit Goewey | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 7.9
Based on 3 answers
I have not used your online training. I use JMP manuals and SAS direct help.
Mark Davis | TrustRadius Reviewer

Implementation Rating

IBM Cognos Analytics

IBM Cognos Analytics 7.0
Based on 14 answers
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.
Toni McKee | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 9.6
Based on 2 answers
No answer on this topic is available.

Alternatives Considered

IBM Cognos Analytics

Although Tableau has certain advantages, mostly in its best in class visualization capabilities, Cognos is catching up. Most of the other advantages of Tableau Desktop have been addressed in more recent versions of Cognos, for instance the ability to ingest personal data sources, self-service modeling, and improved dashboarding/visualization features. Tableau still lacks a centralized metadata and governance model and requires a bit more effort to implement at the enterprise level. Also, Cognos is still best in breed for standardized reporting, which is always a crucial need for organizations. More requirements can be centrally addressed by Cognos, but it is unlikely any organization will have just one BI tool.
Albert Valdez | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

We selected this as a corporation perhaps it was relatively easily available and thus knowing that if you know a bit of any coding language you can somewhat get by with JMP, makes this an easily scalable software in terms of learning for people. I am not too sure about other alternatives.
Anonymous | TrustRadius Reviewer

Scalability

IBM Cognos Analytics

IBM Cognos Analytics 10.0
Based on 1 answer
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.
Robert Goodman | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 10.0
Based on 1 answer
No answer on this topic is available.

Return on Investment

IBM Cognos Analytics

  • (+) increased efficiency: Less time trying to figure out how to do something w/ another BI tool that may seem impossible -- Cognos will be able to do it 99% of the time
  • (-) increased training required: Training for Cognos had to be longer and more intensive than other BI tools. For example, my team members go through a week long 8-hour/day class and it was just enough to scratch the surface. A good base if required, but real world experience is the only way to become a Cognos pro.
  • (-) more end-user training: We do mostly canned reports with Cognos, so out end-users must be trainied. It is much harder to train them with Cognos than other BI tools. This is why I only turn to Cognos if I cannot accomplish my goal in another tool.
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from 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).
Gabriel Chiararia | TrustRadius Reviewer

Screenshots

IBM Cognos Analytics

Pricing Details

IBM Cognos Analytics

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional

IBM Cognos Analytics Editions & Modules

On-premise Edition
On Demand Standard$15.001
On Demand Plus$35.001
On Demand Premium$70.001
  1. Per User/Per Month
SaaS Edition
On Cloud HostedContact for quote
    Additional Pricing Details
    30-day free trial available.

    JMP Statistical Discovery Software from SAS

    General

    Free Trial
    Yes
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    JMP Statistical Discovery Software from SAS Editions & Modules

    Edition
    Personal License$125.001
    Corporate License$1,510.002
    1. Per Month
    2. Per Month Per Unit
    Additional Pricing Details

    Rating Summary

    Likelihood to Recommend

    IBM Cognos Analytics
    7.8
    JMP Statistical Discovery Software from SAS
    8.6

    Likelihood to Renew

    IBM Cognos Analytics
    7.9
    JMP Statistical Discovery Software from SAS
    10.0

    Usability

    IBM Cognos Analytics
    7.5
    JMP Statistical Discovery Software from SAS
    10.0

    Reliability and Availability

    IBM Cognos Analytics
    8.6
    JMP Statistical Discovery Software from SAS
    10.0

    Performance

    IBM Cognos Analytics
    9.0
    JMP Statistical Discovery Software from SAS
    10.0

    Support Rating

    IBM Cognos Analytics
    7.0
    JMP Statistical Discovery Software from SAS
    9.2

    In-Person Training

    IBM Cognos Analytics
    8.7
    JMP Statistical Discovery Software from SAS

    Online Training

    IBM Cognos Analytics
    8.0
    JMP Statistical Discovery Software from SAS
    7.9

    Implementation Rating

    IBM Cognos Analytics
    7.0
    JMP Statistical Discovery Software from SAS
    9.6

    Scalability

    IBM Cognos Analytics
    10.0
    JMP Statistical Discovery Software from SAS
    10.0

    Add comparison