Informatica Data Quality review
April 12, 2019

Informatica Data Quality review

Gurcan Orhan | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Informatica Data Quality

Informatica Data Quality is a tool that supports business users (non-technical) and developers(technical) in an equal way. It can be enhanced through the customization of rules and policies, and supports seamless integration with Informatica Power Center, with the help of Informatica Data Quality Mapplets. These mapplets can be imported to Informatica Power Center, and can be used within the Data Integration Process.
Data profiling can also be made within the tool, and profiling results give you insight into the data that you are about to use to perform a data quality operation.
However, the more data you profile, the more memory and CPU it needs.
  • It performs quality Data Profiling operations.
  • A web-based data quality check (without the need for any client tool installation).
  • Seamless integration with other Informatica products.
  • Ease of use (2 days of training for profiling, 4 days for intermediate development, and 4 days for advanced development skills).
  • A hardware monster.
  • Needs easier security.
  • Could provide easier administration.
  • Needs easier installation steps.
  • We already had the licenses of the product with the Informatica Data Integration family.
  • Installation steps could be simplified.
  • It would be better if the product had fewer hardware needs.
There was not an evaluation period, since the product was already purchased by my company. I performed the installation and did the implementation.
We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways.
At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.

Informatica Cloud Data Quality Feature Ratings

Data source connectivity
10
Data profiling
9
Master data management (MDM) integration
10
Data element standardization
9
Match and merge
10
Address verification
8