GoodData is an analytics platform used by organizations to deliver real-time, governed insights, embedded into products, customized for users, and integrated into any data environment.
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IBM Cognos Analytics
Score 7.4 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.
We did our investigation years ago and I wasn't the one leading it but what I do remember was that GoodData had the best balance of price compared to infrastructure demand while not compromising on the power of available features around insight and dashboarding
GoodData is easier to understand and designed to detail critical data within a dashboard system. Visualization is essential, and the filters are quite varied. Metrics are also easy to use, so users only need to think a little more carefully about setting up the SQL required for …
Embedding flexibility was the main reason we chose GoodData. Interactivity, customization options, and programmatic ability were all very important to us and GoodData's embedding via React SDK offers exactly that. Implementation time was 50% shorter with GoodData than with …
GoodData seems less user friendly and doesn't provide that many visualization options so we are slowly moving to other solution in part of the company. There are still teams that plan to continue with GoodData and use React code in orther to supply missing functions.
I was not a part of the process to choose GoodData. From other teammates: the ability to really control the look of pixel perfect dashboards was important.
GoodData is much more customisable in our case so we choose this. Also when it comes to pricing part GoodData is the best economically as well and in terms of features and functionalities. As compared to others similar products I believe that GoodData is much more reliable with …
GoodData has been proven best for us as it has given the most accurate analytical insights on our data. I've used other tools too but no one has been this good in terms of reporting, handling data, decision making. Using GoodData for almost every organisational decision and …
GoodData comparing to other platform is very easy to use, customer support and on-boarding support. Set of features, speed of integration in our platform. Also great benefit for us was very competetive pricing.
All of the tools have their plusses and minuses. The one thing that stands out with Qlik is that it allows for two-way API integrations with Salesforce. This means that analytics reporting results can interact with the Salesforce application.
The primary reasons GoodData was selected was data modeling capability, ability to standardize complex metrics, quality of viaualization and multi-tenancy
GoodData cloud has been on an upward trend in terms of speed of improvements and new features. It is easier to maintain and mange than most other products in terms of the behind the scenes updates etc however the hosted nature of the dashboards does reduce the flexibility to …
GoodData provides the largest amount of OOB features that meet our end-user needs. It means a lot that we don't need to perform development on our own. At some point, it may make sense to take items in house, but its hte best current fit.
I have used all softwares in my past 10 years of experience. GoodData stands out with its seamless data integration, advanced predictive analytics, and collaborative features. Unlike Tableau and Power BI, GoodData offers scalable solutions with a user-friendly interface for …
Choosing between GoodData and other platforms was clear for me as the superiority of GoodData over others due to our needs. GoodData stands out for its awesome dashboards, robust predictive analytics, reports, and analysis. Data integration helps us for business intelligence …
Tableau is fantastic for visuals, and Zoho Analytics is user-friendly, but GoodData takes the cake with its seamless integration and powerful analytics. It stacks up well because it's not just about pretty graphs but it's about making data work for you. It's the perfect fit for …
GoodData is best among every other platform I used because it's a cloud based platform and way to easy to use. Its robust predictive analytics and unified data view set it way apart. While Power BI and Tableau excel in visualization, GoodData's focus on comprehensive business …
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.
If you have consistently formatted data, that you want regular reports on, plus flexibility to let end users build their own reports, GoodData is perfect. Especially if your end users are less technical. If you want to be able to embed your reporting into your app, GoodData excels, though the start up process can be involved. If your data structure varies, it could be more challenging to integrate. It may also not be worth the integration if you have people who can already run their own SQL queries.
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
GoodData helps in simplifying complex data into easy-to-understand visuals. We can create personalized dashboards & tailor them as per requirements. This data can be used from an executive level employee to a team lead employee in the business
GoodData is a very user friendly platform. The collaborative features simplify sharing and discussing reports among team members which promotes a culture of data-driven decision-making.
GoodData connects with various data sources and consolidate information from multiple platforms. This flexibility proves invaluable for businesses dealing with data spread across different systems as they can access large amount of data on a single platform.
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.
Because gooddata really helps us in processing data to make reports or dashboards. So we are very satisfied when we use it. What we like is the flexible use of charts. We change at will the use of charts to display in reports or dashboards. Thank you Gooddata for helping companies like us who need flexibility in usage
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!
From my experience, overall usability of GoodData platform is great very easy to use, but there is still few features as GoodData platform and interface continuosly evolves, which are not yet available within user interface, but only available via API. For regular users all main and key features and tools are perfect, well defined and very easy to use.
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
Implementations are hard and we had limited technical resources. We relied too heavily on GD care team. When we found technical gaps, they weren't simple to overcome
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 did our investigation years ago and I wasn't the one leading it but what I do remember was that GoodData had the best balance of price compared to infrastructure demand while not compromising on the power of available features around insight and dashboarding
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.
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.