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
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.