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.
Data Quality Bot
On September 23, 1999, the Mars Climate Orbiter burned on its way to Mars. NASA did not manage to keep its data in shape. Poor data quality caused a measurement mismatch between two software systems. The spacecraft came too close to the planet, and it was destroyed in the atmosphere. $160.9 million were wasted for nothing!
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.
We know that every business has different needs and challenges when it comes to data quality. We’re here to help you find the best solution for your requirements. Our Data Quality Navigator supports several industry- and process-specific use cases tailored to your challenges. Check out the following use cases and find out how we can lift your data to the next level.
The Data Quality Navigator supports all relevant data handling activities in your S/4 journey, such as automated data cleansing, data harmonization and migration. All workflows are tool-supported and status is clearly tracked to keep an overview of go-live critical data issues.
The Data Quality Navigator is your solution for continuous data governance and is capable to support all data objects within modern ERP systems.
A proven rule set can secure your financial data in order to support financial compliance checks.
A tailored rule repository covers 90% of automotive-specific data requirements and enables smooth execution of automotive best-practice processes.
External sourcing systems, such as e.g., ARIBA or JAGGAER, require availability and correctness of relevant data sets. The Data Quality navigator identifies missing and incorrect data to secure your sourcing processes.
Common spend analysis tools rely on proper data foundations. Duplicate business partner such as clients and suppliers can lead to misleading information. The Data Quality Navigator builds a proper data basis and secures a reliable decision-basis based on your spend analysis.
Advanced Technologies exchange large data volumes and act based on the exchanged data. With the Data Quality Navigator, you are sure that the quality of the exchanged data is the desired quality.
Process disruption in production processes reduce your OEE (overall equipment efficiency) and can lead to late deliveries to your customers. With the Data Quality Navigator, you can safeguard your production processes against data issues and focus on the execution of your processes.
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
