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
ThoughtSpot
Score 8.0 out of 10
N/A
ThoughtSpot is an AI-Powered Analytics company, that aims to create a more fact-driven world with an easy to use analytics platform. ThoughtSpot enables users to leverage natural language search powered by large language models to ask and answer data questions. Users within an organization can limitlessly engage with live data in any popular cloud data platform to create and interact with granular, hyper…
$95
per month
Pricing
IBM Cognos Analytics
ThoughtSpot
Editions & Modules
On Demand - Standard
$10.00
per month per user
On Demand - Premium
$40.00
per month per user
ThoughtSpot Analytics Team
$95
per month flat subscription
ThoughtSpot Analytics Pro
starts at $30,000
per year consumption-based pricing, pay for what you use
ThoughtSpot Analytics Enterprise
contact for pricing
per year consumption-based pricing, pay for what you use
ThoughtSpot Everywhere Pro
contact for pricing
per year consumption-based pricing, pay for what you use
ThoughtSpot Everywhere Enterprise
contact for pricing
per year consumption-based pricing, pay for what you use
I like the cloud native character and ease of deployment with Sigma and ThogthSpot, I also like the metadata modelling capabilities of Power BI. I prefer the ability of Cognos to create and publish a metadata model that provides both ad hoc access and managed reporting and …
IBM Cognos Analytics with Watson is an enterprise ready tool and could provide end to end functionality expected from a BI tool. Provides integration with custom applications as well as provides not just high end visualizations that Tableau or PowerBI provides but also the very …
Compared to most reporting and analytics tools of a similar nature, ThoughtSpot seems to work particularly well with financial and sales related data. In terms of ease of use, ThoughtSpot ranks above average. On the other hand, there are dozens of basic features (esp. …
While Thoughtspot runs on "keyword search" technology, it needs the users to import data and build the data model in thoughtspot which creates a duplicate copy of your data mart. Answer Rocket uses "NLP (Natural Language Processing)" to work on your existing database and while …
Our first and most basic scenario was to automatize the creation and publication/sharing of business reports that used to be created manually by employees throughout our organization. Using Cognos for that first use case worked well. The advanced analytics functionalities we used on the aggregated data were also as expected. However, the user interface is not always intuitive, and there is a steep learning curve, so I would recommend Cognos only to large organizations where there is a need for the most advanced functionalities (AI analysis/prediction).
Well suited for my clients for a Macro view of business insights, credit risk, ESG insights, etc. However, I think ThoughtSpot needs to make exploring underlying data easier, adding a feature where you can click on charts and filters will help users and especially business users to easily understand the granularities as well.
Beautiful visualizations. The visuals are distinct, clean, and easy to discern from one another.
Intelligent querying functionality. When looking to manipulate the data, the search function makes it easy to manipulate the features in the data, along with aggregating them in the way you'd like.
Embedding! It has been a smooth process thus far for our product & technical teams to work with ThoughtSpot and bring it into our product.
Sometimes there might be performance issues when dealing with large and complex data.
Although IBM provides full documentation but sometimes it's difficult to find answers to questions and connect with their customer support.
It relies on external tools for data cleaning, transformation and also for some integration tasks. It can also improve on providing wider range of data sources for integration.
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.
I give it just waiting because passport is brilliant and it has helped our organisation In advancing to the next stage in the age of AI. It has allowed or non-tech people to better service and clients in a cost-effective way. George port has allowed us to create new products for us and for our clients increasing our revenue streams and reducing clients churn
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.
The tool is easy to use if you know what you are doing and looking for. I know as they work towards improvements and simple language it will become even easier, but as of now they are doing a great job but there is room for improvement.
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.
I give it this meeting because the team is not only help able to help us in the current solutions but also amazing and taking feedback and feeding it back to their development team which includes more products and features into ThoughtSpot
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.
In the past Management had used Excel and Workiva capabilities to create the reporting dashboards that were being used to make decisions. Since switching to IBM Cognos Analytics the Company has been much more efficient and decision making has been streamlined. IBM Cognos Analytics was chosen due to its reputation and data visualization capabilities and neither have been wrong.
We also explored Tableau Ask Data. Tableau is our standard for BI in our organization. We want to use the smallest amount of tools in our company to have the best adaption. ThoughSpot will fill a few gaps that we have with our current set up and will also enhance out offering for our employees in the transition of being more data driven within in near future
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.
Because it is very reliable, inside the situation, we need strong internet connection to access a lot of data but easily never had any downtime except during the upgrades
Saved an immense amount of time for a sole analyst on a team by enabling the end-users to ask their own questions instead of always turning to her, allowing her to focus on other priorities.
Immediate answer to question on second POC that led to personnel changes.
