Productsheet Data Quality Director
This document shows how the Data Quality Director (DQD) gives you full control over master data quality in JD Edwards. You’ll see how inconsistencies are identified automatically, how all issues are streamlined in a centralized workbench, and how flexible exits enable fast, controlled corrections. It clearly explains how DQD boosts reliability, efficiency and performance across your master data processes.
In this document you’ll find
- An explanation of how automated validation reports detect master data inconsistencies
- A clear overview of the DQD workbench where all issues are centralized
- Insights into flexible exits that enable quick and accurate corrections
- Details on how DQD checks only changed records to maximise performance
- Examples of how DQD maintains audit trails, histories and exception handling
- Guidance on safeguarding long-term data quality without manual searching
- Reasons why DQD is essential for reliability, efficiency and cost control
- Practical improvements that immediately impact daily JD Edwards workflows
