Data Quality Navigator
Enable effective data quality measurement and control with the Data Quality Navigator
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.
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 or 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 ‘root cause’ of the loss of the spacecraft was the failed translation of English units into metric units in a segment of ground-based, navigation-related mission software
Arthur Stephenson, Chairman of the Mars Climate Orbiter Mission Failure Investigation Board
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.
Don’t let insufficient master data quality get in your way and risk the success of your digitalization projects. Don’t allocate valuable resources to chasing and fixing data quality-related process issues. Let the BearingPoint DQN take care of that instead and allow more room for activities imminently critical to your business.
With the BearingPoint DQN, the state of data quality is no longer intangible. Instead, your master data quality is measured precisely. Weak spots can be identified quickly, and the progress of improvements are continuously monitored. You will be capable of comparing and controlling organizational units from a high-level perspective down to an operational level.
Understand the progress of your data quality improvement activities. Identify your weak spots and bundle your efforts on the most critical areas for data cleansing first. See which organizational units will achieve their goal in time and which ones are not on track. BearingPoint DQN supports the alignment of priorities across teams with a defined backlog list.
By gaining full transparency over your master data quality, you actively mitigate risks in daily operations and projects. The BearingPoint DQN helps identify and correct critical master data issues before breaking a process or having a negative business impact. No more emergency activities to address preventable process failures or needless project delays because of insufficient master data quality.
Stop treating only the symptoms of poor data quality. Stop chasing problems that are continually re-occurring and drain your resources. Gain control: identify the root causes and heal the actual condition instead. The reverse analysis functionality of the BearingPoint DQN enables you to identify the root causes to fix the problem permanently.
See for yourself and request a demo of the BearingPoint Data Quality Navigator software.
Data Quality Bot