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.
$10
per month per user
IBM InfoSphere Information Server
Score 8.0 out of 10
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IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.
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Nielsen Marketing Cloud
Score 7.6 out of 10
N/A
Neilsen Marketing Cloud includes a Data Management Platform (DMP), Media Planning and Optimization, Data as a Service (DaaS), Multitouch Attribution Analytics, Inflight Analytics, and integrations to different digital media channels as well as to content marketing, creative testing, search, email and social media platforms. It's designed to enable marketers to plan, execute, and report on all of their marketing activities from one place.
IBM Cognos Analytics is catching up to Tableau Desktop in the only area that Tableau Desktop had an advantage (visualizations). IBM Cognos Analytics can do a lot more than what Tableau Desktop does with its advanced pixel perfect tools, ease of use, and delivery options to …
In my opinion, MicroStrategy has a better product architecture. As a reporting and analysis platform, MicroStrategy allows developers to build reports and dashboards using an integrated development tool for all capabilities. It also has a more powerful and easy to use …
MS BI: A lot of times we meet customers who are dealing with an MS BI maintenance nightmare and we try to ease their pain by implementing Cognos BI and their reporting and analysis system. Cognos BI is better than MS BI from ease of implementation to production support and …
Well suited: Financial reporting - It can handle complex, pixel perfect, muti-page reports with scheduled delivery to stakeholders (like sales report by region on quarterly periodicity) Operational dashboard across departments - It can combine multiple data sources (ERP, CRM, excels etc) with filters, and embedded AI insights Less appropriate: Live dashboards - As stated earlier as well, IBM Cognos Analytics doesn't suit well for live dashboards or event driven data. For ex: live web traffic data or IOT device data, etc Data science - Although IBM Cognos Analytics is great tool for data exploration but it should not be used as a substitute for Python or R, which has edge over advanced modelling and stats based workflows like predictive modelling or clustering
Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.
Best suited for scenarios involving detailed analysis of customer data and demographics. Allows for complex investigation of customer and audience details. Less well suited for scenarios involving simultaneous collaboration on analysis. This product is not the best for collaboration and is better suited for individual work and individual forms of analysis.
I just like the manner it handles the analytical rationalization of giving a standing and updates of the inner and outside beliefs of Marketing analysis.
It facilitates me apprehend clients' desires and offers advice on a way to fulfill their desires.
When I am making plans and instinctually recognise what purchasers are going to purchase, I depend upon their real-time records to validate my assumptions and tell our media buys.
Automatic rewards with the media Connections. The availability of records and the alternatives to make our customer's picks understandable.
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.
More segments need to be created as often as possible
Sometimes it is hard to optimize these segments when the CTR is low - segments make it difficult to pull out zones/sites that are dragging down the CTR because they are so narrowly targeted.
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.
Nielson Cloud helps businesses find, recruit, and create new advertiser client bases, as well as stand out in a crowded public space. Measure linear and digital media metrics across channels aids in giving insights in an efficient manner. Nielson Cloud also assists businesses in maximising ROI by analysing how their marketing and advertising reaches and influences audiences throughout the customer lifecycle.
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.
We are using it for analytics, statistics control, and for a single pane of glass and reviews for our senior leadership. We fetch significant insights from this device which can be then provided to our stakeholders to higher understand the achievements and loopholes.
We can make Marketing strategies with the help of this. Also, it is benefiting financially and getting productive.