Data Quality Navigator

The Data Quality Navigator significantly increased our S/4 transformation efficiency – we could shorten our stabilization phase, reduce data cleansing efforts and testing efforts due to higher data quality.

S4 Program Manager of a German Tier-1 Automotive Supplier

The implementation of the Data Quality Navigator was a turnaround for our project. Before the DQN we were not aware of the poor data quality in our ERP system which putted our go-lives regularly on high risk. Now, with the DQN we can clearly measure and improve it with a streamlined data cleansing approach and go-lives became finally smooth.

S4 Program Manager of a internationally operating German Automotive Supplier

Thanks to the BearingPoint Data Quality Navigator I do not need to worry any more about wrong or missing data which are a foundation for production execution. I can purely focus on process improvements and support our key-users properly.

Production Process Expert of an Industrial Equipment Manufacturer

The Data Quality Navigator guides us to a future where we can proactively optimize our processes and limit process disruptions to an absolute minimum. Like this, we can improve our process efficiency by 10%!

Innovation Manager of a German Automotive OEM

The Data Quality Navigator supports all mission-critical data activities during our S/4 transformation – data cleansing, data harmonization, migration & data governance. The rule-based approach offers us high flexibility, and we can even check our highly industry specific data structures. After the transformation project, the DQN enables us to sustain the high data quality in the long-run.

Master Data Management Teamlead