QualityStage - Improving Data Quality as part of the Data Integration Process
September 03, 2018

QualityStage - Improving Data Quality as part of the Data Integration Process

Gonzalo Angeleri | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM InfoSphere QualityStage

QualityStage is used as a corporate tool for profiling and data cleaning. It is used especially in the data warehousing area, but also in other areas such as marketing and sales. QualityStage allows you to understand the level of data quality of the original systems, and prepare the data to deliver them with the required quality level.


  • Worldwide address and name rules for data standardization
  • Integration with other tools like DataStage
  • Graphical interfase to develop processes
  • Performance and scalability


  • Should include all the data profiling functionality
  • Better features to tune matching capability
  • Include AI to automatically recommend actions to improve processes
  • Improving Data Quality
  • Reducing costs due to better Data Quality
  • Single view of customer / product
  • Better data governance
QualityStage is positioned as a world leader as a data cleaning tool, and competes face to face with PowerCenter. Particularly in Latin America we consider that QualityStage is better customized in terms of data cleaning rules for the region.
Watson Studio (formerly IBM Data Science Experience)
Standardization of data using rules for names and addresses. Possibility of building our own rules to standardize other data. Contruction of complex rules of matching and consolidation of data. Native integration with ETL tools and data governance.

IBM InfoSphere QualityStage Feature Ratings

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


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