GoodData powers modern BI for the modern data stack. It is a business intelligence platform that provides the creation, delivery, and automated management of analytics at any scale. GoodData experts help businesses build data strategies, create new products, and maximize their data ROI. At a high level, GoodData’s composable data and analytics platform provides self-service analytics, low-code/no-code interfaces, embeddable data visualization, and application integration. The platform…
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IBM Cognos Analytics
Score 8.2 out of 10
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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.
Each one of the above players had an interesting platform. Ultimately, GoodData beat them based on our need for a customizable user experience, ability to embed, affordable license that is NOT on a per user basis (because if you want adoption, you shouldn't directly tie cost …
GoodData is well suited when you have a lot of data sources and you need a single location where you can pipe the data into and then create insights/charts/analytics based on the data you've piped in there. It's also great if you want to customize how the datasets interact with each other and what that logical data model looks like. Super super intuitive there. I think it's not great for data presentation if your product is presenting data to your customers. For internal use, it's great
Working in a financial consulting industry where different clients with many data challenges such as length, structure, validity, cleanliness, and time arise, IBM Cognos have allowed the company to integrate, extract and use data with minimum effort resulting in potent reports and clear dashboards. That is a great advantage to other solutions in the market
It's a good platform that has a flexible pricing plan which means that users can get hands-on service free at the start.
GoodData provides its users with excellent charts and drill-down analysis which makes complex large data sets so simplified and easy to understand and interpret.
For me it is so convenient because everything just gets saturated on a single page.
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.
Each client I have worked with and spoken too has renewed their GoodData subscription. I know of not one to date that has cancelled. The GoodData platform has a very high rate of renewal from the discussions I have had with their internal teams as well
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.
After comparing over 20 solution, this is probably not the best in class but the feature set is very competitive. If budget is of no issue, solution like Looker is probably more popular and robust but if you do not want to spend every bit of your budget just for your BI tooling, most users would find GoodData reasonably good enough especially if you are on the SME level
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.
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.
The fast and comprehensive responses we got from GoodData regarding the doubts we had experienced while starting to use the products and metrics were of great help in ensuring the metrics we were obtaining were accurate to what we wanted to know about our customers' experience and our product areas of opportunity.
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.
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
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.
We chose gooddata compared to other products because gooddata is easier for ordinary people like me to use. Apart from being easy, gooddata also has many features which are more than enough to help my work and costs incurred by gooddata are lower than when I use other products. Thank you goodata for helping our work
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.
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.
Better data insights of support tickets helped identify key customer issues and channelize efforts accordingly
Detailed analysis of existing issue, helped identify product defects across the board thereby provide meaning insights to engineering teams to resolve product issues that were previously unknown to us
