Causal, from the company of the same name in London, presents a way to perform calculations, visualise data, and communicate with numbers. It helps build models faster, connect them directly to data, and share them with interactive dashboards and visuals. Suggested use cases are financial planning, planning CPC campaigns, track KPIs, or determine employee compensation.
$50
per month
IBM Cognos Analytics
Score 7.6 out of 10
N/A
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.
Definitely suited best for B2B / B2B2C product modelling. We used this for B2B / B2B2C / C2C and the C2C side of things was always more complex to model out due to this being dependent on marketing spend (CAC) and factors around virality which really cannot be forecasted (not a shortcoming of Causal, just implied by the mechanics of modelling)
For Transaction monitoring, we build reports for executive management, providing insights into the number of alerts, the types or categories of detection scenarios, the risk profile, and a snapshot of high- or urgent-priority cases to be reported to AUSTRAC. Congos helps to build the report by ingesting alert data exported from SAS datasets. It joins with other data from Teradata and Customer Hub (Oracle).
Enterprise reporting - Create, customise, and run reports on sales trends, consumer sentiment, etc.
Dashboard creation and data exploration & analysis - Using drag and drop feature to create ad-hoc visualisation. Additionally, using AI powered natural language query feature for data analysis and dashboard input (formation of pie, bar, line charts). It's useful for no-technical person to put queries around the spreadsheet data to get quick answers.
Building insights for accurate decision making - Package reports with data backed insights for stakeholders in pdf, and Excel format to support business ad-hoc cases, forecasting and strategic recommendations on relevant asks.
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.
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.
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.
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.
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 reporting. Sigma shines for customizable dashboards and drill-down analysis while IBM Cognos Analytics holds an edge in data discovery and visualization.
We rate IBM Cognos Analytics a 9 out of 10 for overall scalability. The platform handles large numbers of users, reports, and analytical workloads very reliably. We have experienced strong performance even in demanding enterprise environments with substantial data volumes. Its architecture provides sufficient flexibility to scale resources according to demand, making it well suited for large, business-critical deployments.