Models Optimization in a Robust Approach.
April 30, 2022
Models Optimization in a Robust Approach.
Score 6 out of 10
Vetted Review
Verified User
Modules Used
- Analysis Studio
- Event Studio
- Query Studio
- Report Studio
Overall Satisfaction with IBM Cognos Analytics with Watson
We use the IBM Cognos set for data analytics on our multi-cloud architecture to automate AI lifecycles. I have more engagement with the IBM Watson studio and I use it frequently for code-based visual data science, working smoothly with the TensorFlow framework. I'm able to monitor the implemented AI models used across the company in accounting, and customer relations for consistent results/output.
- IBM explainable AI makes it easy to to comprehend the AI models.
- Optimization dashboards allow sharing of the models' results with the team to enhance collaboration.
- Search engine displaying data elements is still not available on version 11.1.7.
- We can easily create and share dashboards to improve collaboration.
- We optimize on AI and app investments.
Self-service has without a doubt improved our productivity and reduce complexity as a data platform. Our staff can easily generate reports with little assistance from the IT team unless it's on complex ODBC.
Because we are in finance, confidential data is shared all the time which means data security is a priority. With a secure licensed governance system, data is handled by a trusted source.
Do you think IBM Cognos Analytics delivers good value for the price?
Yes
Are you happy with IBM Cognos Analytics's feature set?
Yes
Did IBM Cognos Analytics live up to sales and marketing promises?
Yes
Did implementation of IBM Cognos Analytics go as expected?
Yes
Would you buy IBM Cognos Analytics again?
Yes