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
IBM Cognos Controller
Score 9.0 out of 10
N/A
IBM Cognos Controller is a cloud-based financial close management software designed to provide automated and assisted reporting to the reconciliation process, rule and process defining, with automated intercompany eliminations, allocations, currency conversion, and support for extended financial close.
N/A
Microsoft BI (MSBI)
Score 8.7 out of 10
N/A
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
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 use Microsoft BI because our organization has all of its software in the Microsoft ecosystem. It just made sense to utilize Microsoft BI because it can so seamlessly connect to all of the other Microsoft tools and data sources that we were using before. We often find that …
MSBI for my company is a like using a car that has a good balance of features, is easy to use, has good support, and works well with other things or requirement you may have. We specifically chose it because it is one of the promising platform whose support team will never let …
Better integration with Microsoft products is one of the advantages of using Business Intelligence (BI). It's simple to understand, and plenty of resources are available to outsource it. Many of our existing clients have Microsoft licensing agreements. It's an obvious path when …
Outsourcing work is easy to understand, and there are plenty of resources available in the marketplace. It is expensive, but it is still significantly less costly than the alternatives. Results from Microsoft BI (MSBI) are dependable; therefore, there is no problem with trust. …
MSBI is great for data collection and reporting, but it lacks the visual appeal and features of Power BI. Even though it's still useful, it falls short of Power BI in terms of features. There's no reason to doubt MSBI's findings. MSBI has a proactive customer service team that …
Each of the solutions has their pros and cons, but Microsoft's BI offerings provide the best "bang for the buck." Few solutions available offer the breadth of feature functionality in a single package, with BI and database generally being sold as separate offerings. However, …
The biggest player against Microsoft BI (MSBI) was Tableau, which was acquired by Salesforce. Recently there have been other standalone software/applications that provide similar functionality to Microsoft BI (MSBI). Because my company is a Microsoft shop, we have not explored …
Tableau's feature set is comparable to Microsoft BI at a potentially lower cost, however, Microsoft provides better integration into a Microsoft Environment and more flexible deployment options. Microsoft also provides better enterprise support than Tableau (although this may …
We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
A lot of our existing client base has licensing agreements in place with Microsoft, couple that with decision-makers wanting to achieve the outcome with the least amount of additional licensing costs added, and it becomes an obvious path, however, it is very crucial to first …
Unlike Oracle Business Intelligence Cloud Service (OBICS), Microsoft BI offers a good range of visualisation options. However, it falls behind in terms of data management capabilities. If your requirements are more data intensive and less reporting intensive, then Microsoft BI …
We initially considered Google Analytics, but eventually decided against it due to the licensing terms and the associated software that we would need to incorporate. IBM Cognos is great at what it does, as long as you are trying to integrate with software that is on their …
Specific data displays are some of the strongest aspects of Microsoft BI when compared to alternate programs. It also does a superior job in compatibility with many programs, especially those from Microsoft. Since my company primarily uses Office 365 and other Microsoft …
The other programs listed are excellent. I have always been a fan of Google products because they are user-friendly and easily accessible by most. They also produce excellent data outputs. Google is still great for companies of any size but I believe Microsoft BI is an even …
To be honest, I have never used anything similar to PowerBI. I have seen reports that come from Whatagraph, but I have never used it myself, so that is the only application that I can sort of compare it too. Just looking at the visuals from both, PowerBI reports are better …
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
Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.
The layout of Power BI is very intuitive. Someone that is familiar with Excel and working with Charts and Graphs in that environment will find the learning curve a rather short one to start using Power BI.
I like the way Power BI fits an assortment of users and how the functionality that you engage is replicated in Excel, that being Power Query and Power Pivot. So what you learn in one tool can be readily applied towards the other which allows you to more effectively apply your training.
I appreciate how Microsoft is working to develop tools that go a long ways to empowering the end user. Prior to Power BI I would have had to consult with a "BI" professional to develop a dashboard. With Power BI I don't have to consult with anyone, I can work to put together the dash board I want and using a tool set that is really robust and allows me to engage an enormous amount of data. It's provides a great deal of flexibility and the types of data I can connect to.
Updates...Microsoft is working diligently to keep Power BI current with monthly updates. They do a really good job of listening to the end user, if there is functionality not currently present just give them a month or so.
Just to be clear, even though it's easy to get going right out of the gate with Power BI it provides plenty of opportunities to create some really sophisticated reporting solutions. With DAX in Power Pivot and M language in Power Query, you are provided with plenty of head room to do some really amazing things in Power BI.
Training...there are resources across the web for learning and growing your skills and Power BI. And what's even better is the majority of those resources are free.
Data engagement, when presenting the data to the end user Power BI goes a long way to allowing that end user to engage the data and begin to identify root cause by simply interacting with the graph/chart/data set. It allows for really fluid engagement. Prior to Power BI so many times during the presentation of data we often times ended the engagement with that data with more questions than what were answered. With Power BI, more often than not, the end user is able to get answers to the questions by simply clicking on the data in the graph/chart/dataset to see the details. This tool really does have the capacity to make you look like a rock star.
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.
The race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.
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!
Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
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.
The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
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.
SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
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.
While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
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
I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
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.
We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
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.
We use Microsoft BI because our organization has all of its software in the Microsoft ecosystem. It just made sense to utilize Microsoft BI because it can so seamlessly connect to all of the other Microsoft tools and data sources that we were using before. We often find that more people have experience with Microsoft BI than other tools that we looked at due to its popularity and widespread use within other organizations.
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.
Profit increase due to MSBI output and a better understanding of multiple functions other than cost.
Data compatibility will be improved, and MSBI will have the opportunity to handle the API more effectively. The MSBI ETL stack works well with relational databases, but with cloud-based data sources emerging, non-relational data sources should be supported.
Save time interpreting data. Our analytics capabilities have helped our clients understand complex data with simple reports. Thus, it facilitated decision-making.