Good business analyst tool to connect datasets and visualization
January 13, 2022
Good business analyst tool to connect datasets and visualization

Score 8 out of 10
Vetted Review
Verified User
Modules Used
- Analysis Studio
- Query Studio
- Report Studio
Overall Satisfaction with IBM Cognos Analytics
IBM Cognos Analytics is widely used by business analysts as a way to build dashboards and for data-analytic work. While other job families such as data scientists are using Python and Jupyter Notebook to connect data and visualization. The tools make easy connections with your database if your work scope is within the services that it provides.
- Connection.
- Prebuilt.
- Visualization.
- Fixed.
- Community support.
- Documentation.
- Quick.
- Easy.
- Pre-built.
All these ones are fairly widely used in the business analyst world. There is no significant difference among them apart from the suite of tools that your company is using. If the company is using Amazon EC2 and Amazon S3, Amazon QuickSight is easier to be embedded in the system.
Under the condition that the data cleansing and data analysis/visualization are very standard, the tool does speed up the data processing data. However, for important and inconsistent data cleansing, it requires lots of manual processing, and using the tool might lead to some serious damage to the data and bad business decisions.
This functionality definitely helps us to understand the data and perform data governance controls but it requires manual effort to check the data for monitoring. However, using python to do the data transformation in the first place, we need to spend much more time but save lots of time by leaving integration time for the monitoring.
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