- Effectiveness 5 corrected data incidents in a S/4 Transformation
- Efficiency 70 effort reduction for data handling
- Usage 50 Customer Production Locations are using the DQN
Take your Data Quality to the next Level and set the Stage for new Digitalization Activities
Data is the foundation of digitalization! Your data quality determines the success of your digitalization initiatives. Poor data quality hinders digital processes, while excellent data quality boosts process efficiency and enables new digitalization activities.
The BearingPoint Data Quality Navigator (DQN) is specifically designed to create the desired transparency and lift data quality to the next level, setting the stage for digitalization activities. Using AI-based correction mechanisms and in-house robotic process automation (RPA), data quality issues can be resolved without the need for human interaction, and you will realize immense efficiency gains across your organization.
Clean your data and enable effective data quality measurement and gain control with the BearingPoint Data Quality Navigator.
Whether your goal is to support a general master data initiative, a new product or plant launch, a digitalization project, or a harmonization initiative, an ERP roll-out, simply need to de-duplicate your supplier or client database, data quality is a make-or-break success factor that must not be neglected.
The Data Quality Navigator performs mass data validations and identifies data quality issues. It provides reports about overall data quality and cleansing progress and provides a management tool to control progress over time. You can see data quality details globally and compare data across plants, departments, etc. The correction engine corrects identified data issues automatically, freeing up valuable time for your employees.
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 anymore 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