The best aspect of using IBM Cognos Analytics that I am most fond of is the ease with which large sets of complicated data can be made sense of by way of interactive dashboards and reporting. In highly regulated, data-intensive environments such as fintech and health tech, centralized reporting and proper governance ensure better and more accurate decision-making.

Also worth noting is the AI-driven analytics and self-service reporting, making it easy for both technical and business personnel alike to find out trends without spending too much time on the actual data prepping process. Structured reporting is a forte of the solution, especially when it comes to operational, regulatory, and performance monitoring needs.

It also scores highly on the scalability and integration front, offering a great tool for building a more cohesive analytics landscape. Review collected by and hosted on G2.com.

Among the cons of IBM Cognos Analytics is the difficulty associated with its use, which can be perceived as resource-intensive. Even though it offers many great functions, the user may face issues regarding its complexity and the need for additional time to learn how to create reports and customize dashboards.

Another negative aspect of this system is related to the user interface that, while improved over time, may still be not intuitive as the interfaces of some of the more recently developed BI tools. Customization of the reports may require additional time and effort on the part of the user.

Last but not least, performance issues can be encountered when dealing with enormous volumes of data and sophisticated reports. In conclusion, it should be said that IBM Cognos Analytics is an outstanding solution for enterprise-level analytics, but it needs to be properly planned and tuned up. Review collected by and hosted on G2.com.