Data Quality

This area will provide background information on data quality related aspects of Product 360.

Search

Browse Alphabetically

Auto-Assignment of Ports to Fields

Data Quality - How-To, Best practices and usage strategies

Data Quality - Troubleshooting

DQ Preprocessors

DQ preprocessors are part of a data quality configuration and can be used to increase the initially selected data set processed by the data quality engine.

Import and Export of IDQ Mapplet Files

Reference Data and Dicitionaries

Trigger Framework

Data Lookup via Java Transformations

How to look up additional data from PIM while executing rules

Out-of-the-Box DQ rules for Product 360

• Classification Rules

• Feature / Attribute Rules

• Generic Rules

• Lookup and Standardization Rules

• Product Code Validation Rules

• Reference Tables