Data Quality Navigator
Enable effective data quality measurement and control with the Data Quality Navigator
Poor data quality?
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.
Client challenges – Why it matters?
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
Our approach – How it works
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 accelerates data quality initiatives:
Data Validation
- Advanced data validation mechanisms continuously perform mass validations
- Utilize an extensive set of validation mechanisms that can be adapted and extended according to your organization’s needs
- Conduct a root cause analysis that uses a cross-referencing technology so that you also identify the source of the problem and prevent it in the future
Intuitive and easy-to-use
- Data quality validation results are displayed in interactive, intuitive and easy-to-use dashboards that provide the relevant insights
- Support the alignment of priorities across teams
- Users receive alerts about newly identified data issues so they can be immediately addressed before process errors occur
AI-based correction and RPA integration
- Significantly reduce repetitive and time-consuming cleansing activities with the help of RPA to clean your data
- Automate correction efforts with AI-based correction mechanisms that increase efficiency and quality and can fuel your preferred RPA solution
Light-weight and versatile
- The BearingPoint DQN is light-weight software that can be easily integrated into existing IT landscapes and organizations
- Great for project-based use at short notice – the DQN can be setup quickly so that you can expect rapid returns on your investment
- Pay as you grow - the BearingPoint DQN is provided as a service with flexible subscription models on a software-as-a-service basis
Easy interfacing and data security
- Efficiently and safely connect your system to the BearingPoint DQN software through various interface technologies
- Data security and data protection are paramount for us and therefore meet high data security standards
Value proposition – Your benefits!
Focus on what matters: your operations and projects, not your master data
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.
Don’t play guessing games about your master data quality
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.
Set your goal and track your progress
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.
Make your operational processes more robust
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.
Identify root causes
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.
Demo
See for yourself and request a demo of the BearingPoint Data Quality Navigator software.
Data Quality Bot
