CDQ Data Quality as Service

Currently only the invalid part of the request is ignored but the whole request should be declined + error message what is wrong (at least line information). Otherwise, during implementation wrong requests could be used which have negative impact ...

To enable CDQ to read the Vendor Hierarchies from Unilever in the mirror and to receive data from D&B in the Monitoring dashboard (through Direct+ connection of Unilever with D&B), we need the DU and GU levels added in the dashboard. This ...

There is a need to identify (GxP) HCOs and HCP business partners. Need an indicator that can be ticked to separate HCOs and HCP business partners from the regular business partners. This will make it easier in future to separate services and capab...

As a user, I would like to be able to clearly identify the attribute a violation message from CDQ is related to. E.g. I could have 3 different identifier fields in my entry mask. If I enter 3 identifiers and then receive an error message "The iden...

CDQ services increasingly require a differentiation of address and BP types for its services (different quality criteria for different BP types, linkage only of similar types etc.). To allow for clear differentiation the Business Partner Type and ...

Make it possible to filter data sources if they are free of charge or if costs can occur. Make it possible to activate/deactivate multiple data sources at once. (Select all after filtering and then press button activate/deactivate. Popups for cred...

As a User i would like to setup the Data sources for certain Countries, where i exepct a result.

"as a User i would like to have a L2 check in place for the EU-VAT Identifier against VIES with new "qualification rules" for the EU-VAT Identifiers. Example: Name: “Identifier Qualification (European value added tax identifier (Germany), Data sou...

Definition of default user filters. These might be referred to by an app using filters such as Dashboards or data clinic. This would help users to get the data relevant for them consistently with minimized "clics".

Geo coordinates should be fairly easy to enrich at the data clinic. Proximity matching might help to match records added to the CDQ Data pool, particularly for countries that lack solid identifiers.