We performed a comparison between IBM Cognos and IBM Watson Explorer based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's enabled us to report directly from our main application systems. We're removing islands of data and we're removing inefficiencies, where people or small divisions had their own store of information."
"The basic platform comes with several meta-modelling tools."
"We use IBM Cognos for enterprise analytics and reporting."
"Using custom controls, it is possible to extend the application with even more functionality and make the application intuitive and attractive."
"Cognos is the best application with dashboards,batch reporting, jobs, events and ad-hoc reporting for business users."
"In terms of stability, I think that Cognos is more stable than Tableau and Power Bi because of its framework manager concept that allows us to import metadata and store it in the framework manager."
"Stability-wise, I rate the solution a ten out of ten."
"It has a very powerful edit feature which allows users to back out of changes (undo) without forcing them to recreate entire reports."
"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."
"I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."
"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."
"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."
"The high cost of a license makes it hard to scale up on a budget."
"It would be good if the solution had conditional formatting."
"This product could use improvement in terms of usability for those with less technical know how."
"They were lacking in the initial phases of development in the area of big data, and they still need to improve that aspect of the product."
"It would be nice to offer free online training on the tool for end-users."
"Compared to Tableau and PowerBI, the IBM interface is easier to use. However, the drag-and-drop functionality isn't as straightforward. Formatting is also more challenging in the cloud than in other applications, like Power BI. Also, if you encounter an issue, it takes more time to resolve it on the formatting side."
"Extending dynamic cubes aggregate awareness with calculated measures."
"The charts and graphics are weak."
"The solution is expensive."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."
"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"
"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"
"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."
"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."
Earn 20 points
IBM Cognos is ranked 7th in BI (Business Intelligence) Tools with 132 reviews while IBM Watson Explorer is ranked 9th in Data Mining. IBM Cognos is rated 8.0, while IBM Watson Explorer is rated 8.4. The top reviewer of IBM Cognos writes "Improved the quality of our KPIs, while reducing calls to the IT department". On the other hand, the top reviewer of IBM Watson Explorer writes "Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them". IBM Cognos is most compared with Microsoft Power BI, Oracle OBIEE, Tableau, Oracle Hyperion and SAP BusinessObjects Business Intelligence Platform, whereas IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI and Tableau. See our IBM Cognos vs. IBM Watson Explorer report.
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