IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.
$11.25
per month per user
Tableau Cloud
Score 8.1 out of 10
N/A
Tableau Cloud (formerly Tableau Online) is a self-service analytics platform that is fully hosted in the cloud. Tableau Cloud enables users to publish dashboards and invite colleagues to explore hidden opportunities with interactive visualizations and accurate data, from any browser or mobile device.
i believe that CA is more powerful, has better modelling, and is not held back by a cumbersome method of re-using data models. The only thing that holds it back is the complexity of licensing.
IBM Cognos Analytics is robust in terms of reporting, governance and scheduling while Power BI excels in use, interactivity and visuals. In nutshell, IBM Cognos Analytics has edge over Power BI for enterprise grade , structured reporting needs.
Power BI is stronger for quick ad-hoc analysis and dashboards, but IBM Cognos Analytics is better when consistency, precision, and mass distribution matter. Tableau is best for interactive analysis, while IBM Cognos Analytics is better for standardized, repeatable enterprise …
IBM Cognos Analytics was more matured enterprise modeling-based tool. Our power Bi struggled against large ERP data sets, which IBM didn't after few initial days.
IBM had much better scalability and security when comes to user reports distribution. The schedule feature worked …
Compared to other tools like Power BI, Tableau, and Google studio, IBM Cognos Analytics is better for the companies who looks strong control on detailed reports. Power BI and Tableau are easy to use and good for quick presentation, but Cognos has more options for security, such …
Tableau, Power BI, QlikView were the other options considered. Tableau lacked the following key components of business intelligence and analytics. Some other statistical functions that are available on the platform were not matched by Power BI. QlikView lacked robust …
We selected IBM Cognos Analytics based on the following. The scalable and robust features for large organizations allowing it to grow as we do. The nest feature is the strong data governance and security features. It also supports a wide variety of data sources. Lastly, it …
It was due to trust in IBM. Very good support provide by IBM. Response time is pretty good Product is proven in past & well robust feature Many good enterprises have used this product
My company selected IBM Congos Analytics because of its advanced features and data representation for data analysis. Its row and column features are very effective for creating dashboards and reports to visualize data. It's chart representation and view format are very …
IBM Cognos Analytics is our legacy BI solution. It hadn't stacked up well against its modern contemporaries. We are thinking of replacing it with Microsoft BI.
Cognos provides very advanced analytics functionalities, maybe even more advanced than the competition, and works great when used in collaboration with Watson. However, Tableau and other newer products are much better regarding overall usability.
We formally used Microsoft Power BI as our reporting software throughout our organization. I believe Tableau Cloud is a step above Power BI and is our preferred program. The end reports are look cleaner and are easier to work with than Power BI. There are more options and …
Tableau Cloud is ery powerful and user friendly with minimal cost when compared with other BI tools.Its robust features like switching toggles, supporting SQL queries for buiding charts and all stands out as the best.It reduces time in creating difficult and complex dashbords …
Tableau Cloud offers easier ways to make the content browsable by users. It also offers more flexible ways to set up self-service governance. Standard filtering functionalities are easier to use.
It seems more robust then the other platforms. There is a lot you can do from merging many different data sets together by joining them at like points, to creating visualizations of the data, or by showcasing some important data to any number of people within your organization. …
Tableau has a way easier Intuitive UI compare to Power BI or Amplitude. AMplitude is great since anyone could create their own dashboard, but building it it's a different thing.
When weighing the pros and cons of Tableau Online vs. SAP ERP, two key considerations emerged as clear winners. SAP ERP is a powerful data purification tool, but it doesn't measure up to the competition in terms of data presentation. When it came to data visualization and …
In my opinion, while Microsoft Power BI is a bit easier to build reports and dashboards with in part to its shared traits and connectivity with other Microsoft products, Tableau Online allows for a greater depth of customization, data sourcing, and most of all the sharing of …
Google Analytics is better for ad-hoc reporting but it's easier to create a uniform, standardized portfolio of reports in Tableau Online. We still use Google Analytics from time to time for quicker data requests.
In determining whether to go with Tableau Online versus Alteryx, two important factors stood out in determining our go-to solution. First, while Alteryx is an impressive tool for data cleansing, it did not stack up in terms of data visualization capabilities. Tableau, on the …
Compared to SPSS, the report visualization and output far exceeds what SPSS offers, as well as R. We typically find that while there is a bit of a steep learning curve to get the formulas and modelling correct, once done, it's easy to maintain and adjust as needed to …
Googles dashboard suite is very user-friendly and anyone can edit and make changes with very little knowledge or practice. But nothing I’ve worked with compares to the customization and multi streams of data in a user-friendly package like tableau does. It’s a really cool piece …
Prior to Tableau [Online], we were using complicated excel formulas and reports that were prone to break or were not easy to format. We used a few free tools before moving forward with Tableau. The free tools also had limitations but we found that the reports, ease of use …
We selected Tableau Online as it was more easy to integrate it with our SaaS platform and get going in no time. It is much more intuitive, easy, and quick to create dashboards using Tableau than other competitors. Also the pricing provided by Tableau to us was very competitive …
I do like to still use Google Analytics for certain things, because its faster to do it in Google Analytics rather than build the report I need in Tableau. While it's helpful, we just don't have the bandwidth as an organization to be able to create every report we would need on …
Tableau Online provides better data visualizations (especially when comparing out of the box visualizations that are available) than MS Power BI and historically we have connected more of our data sources to Tableau vs. other platforms like Google analytics.
Microsoft Dynamics is the only other product I have interacted with that is similar to Tableau Online. I receive reports from Microsoft Dynamics on a weekly basis. I receive really valuable statistics that help me realize how I am interacting through email. Dynamics send me …
[My selection was more determined] by the legacy files from the previous data scientists who build the dashboard with Tableau rather than I decided to choose Tableau from all other options.
Tableau provides more robust system to perform data analytics as compared to the alternatives like Power BI and Qlik. Moreover, Tableaus is super simple to use and is very reliable in terms of its connection with databases. The ability to manipulate data is another big reason …
We used to use an internal tracking platform, and it wasn't nearly as reliable or accurate as Tableau Online. Tableau Online has way more functionality and is able to report on so many more metrics that our old platform was unable to.
There are lots of excellent products are available in market for data analysis like SAP BusinessObjects, IBM Cognos, Microstrategy Analytics, Microsoft Power BI, etc. I found other products are specific to their tools like SAP BusinessObjects suits great with SAP Products …
IBM Cognos Analytics has great scheduling capabilities. A single report can be parameterized (e.g., “Store Manager ID”) and burst to thousands of recipients with their slice of data.IBM Cognos Analytics is a good fit for highly complex, multi-level calculations which can be handled by Report Studio. For example Monthly balance sheet that requires multi step calculation
If you're using Tableau as the primary BI tool, then Tableau Cloud is well suited to publish and share the results with a wide(r) audience. It is well suited for various degrees of self-service proficiency, from pure consumers of analytical work to more advanced users who can use web editing for smaller or larger adjustments, and even for desktop power users who will publish their work to Tableau Cloud. It has many good ways to organize the content and make it easily accessible via search, favorites, folders, collections ("playlists for your data"), or history ("recents"). It might not be ideally suited if there are many on-prem sources to be used (even though there are options to connect them) or if you have very special requirements regarding custom server setup, which is limited in a shared cloud environment like Tableau Cloud.
Tableau Online is completely cloud based and that's why the reports and dashboards are accessible even on the go. One doesn't always need to access the office laptop to access the reports.
The visualizations are interactive and one can quickly change the level at which they want to view the information. For example, one person might be more interested in looking at the country level performances rather than client level. This is intuitive and one doesn't need to create multiple reports for the same.
The feature to ask questions in plain vanilla English language is great and helpful. For quick adhoc fact checks one can simply type what they are looking for and the Natural Language Programming algorithms under the hood parse the query, interpret it and then fetch the results accordingly in a visual form.
IBM Cognos Analytics enables customer data segmentation, which is essential for marketing, improving and streamlining purchasing behavior and preferences. This helps companies create more targeted and effective marketing campaigns.
Our clients Through data analysis, we can identify and observe trends in the behavior of other clients, allowing us to anticipate needs and adjust strategies to avoid consequences.
It took my BI team one year to become productive at developing useful content on the IBM Cognos platform. After this year, the reports being developed for a client were stale and no longer relative to the ever changing needs of the business client. Given the same opportunity, I would select a platform that allows the team to quickly produce BI content. Fail fast and recover quickly!
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.
From an end user perspective Tableau Online is overall very easy to navigate once you get used to it, my only complaint is that when expanding or contracting a graph, the "plus" and "minus" on the bottom left is sometimes hidden, and should always be visible. From a builder perspective, it can take some getting used to but the sheer depth of customization makes it all worthwhile.
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
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.
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.
I have no had a lot of experience with the support team, but I know that it’s hardly necessary for the end-user to contact. Usually, the main questions I get are on how to read a certain dashboard or how to navigate to a certain place. Overall, the simplicity of the software is what helps out with less need for support.
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.
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
The implementation was handled very well. The initial implementation exposed a lot of disagreement between our campuses and departments as to how we define data. This was not entirely unexpected, but I thought that we did a nice job as a team to work through some of these challenges.
IBM Cognos Analytics is robust in terms of reporting, governance and scheduling while Power BI excels in use, interactivity and visuals. In nutshell, IBM Cognos Analytics has edge over Power BI for enterprise grade , structured reporting needs.
When weighing the pros and cons of Tableau Online vs. SAP ERP, two key considerations emerged as clear winners. SAP ERP is a powerful data purification tool, but it doesn't measure up to the competition in terms of data presentation. When it came to data visualization and analytics, Tableau was our go-to tool. The price is the second consideration. Tableau, on the other hand, was the more cost-effective option for our requirements.
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.
No need to hire a team of developers to deliver our product, a huge cost savings for a start up company.
The ability to work off data extracts allows us to "set in and forget it" so to speak, which allows our customers to use the system during business hours with almost no cost in terms of database usage.
It has been a great internal tool for dashboarding company metrics and helping us track goals and implement solutions to meet those goals through efficient data analysis.