Principal Applications System Analyst at a university with 10,001+ employees
Aug 8, 2022
There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data.
Senior Architect at a computer software company with 10,001+ employees
Feb 8, 2021
It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily.
It is working fine. It is also stable, scalable, and easy to deploy.
Principal Applications System Analyst at a university with 10,001+ employees
Aug 8, 2022
Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that.
Data Architect & Senior ETL Developer at CloudBC Labs
Aug 14, 2023
There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny.
Senior Architect at a computer software company with 10,001+ employees
Feb 8, 2021
It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it.
