DQN brings data quality into the business. It showed us that data quality can be a lightweight, business-owned capability directly linked to real process impact.
Transformation Manager of Chemical Enterprise
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 significantly improved our process efficiency!
Innovation Manager of a German Automotive OEM
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 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
Trusted by clients
Industry-proven expertise and best practices to uncover what really matters.
Built on Experience
Get access to decades of project experience, 2,500+ validation rules, and deep process knowledge across industries. Data Quality Navigator combines proven methodologies with built-in business expertise to identify and prioritize the data issues that have the greatest operational impact.
AI-powered agents that accelerate data quality from insight to action.
Powered by AI & Agents
Intelligent agents support every stage of the data quality journey, from rule creation and validation to issue resolution and enrichment. By automating repetitive tasks and providing contextual recommendations, they help teams achieve faster results with less effort.
Turn data quality into measurable business outcomes.
Focused on Business Impact
Move beyond technical metrics and focus on what data issues actually affect. Data Quality Navigator links data quality to business processes, helping organizations reduce risk, improve efficiency, and realize tangible value from their data initiatives.
Benefit from 2,500+ industry-proven validation rules.
The Rule Catalog is a comprehensive repository of validation rules which covers a broad range of industries and use cases. The rules uncover different types of data issues from correctness over completeness to duplications and will generate immediate insights into the quality of your data.
Create and customize data quality rules effortlessly.
The Designer AI rule editor powered by GenAI enables your domain experts to translate their business know how into validation rules. The low-code editor of the Designer gives your more technical users full control.
Actively manage and control your data quality with full transparency.
Monitor's dashboards highlight relevant findings and track the development over time. You get full transparency over progress and pain points to initiate counter measures. Deeply integrate data quality into your business processes or your IT transformation projects, tailored to your organization or project.
Manage incidents effectively and resolve errors with automation.
Empower teams to manage, validate, and correct data errors with full transparency through the Workbench. Sweeper AI provides intelligent recommendations to solve the detected data errors, where possible tackling the hardest parts of data quality.
Whether you're addressing migration risks, process disruptions, or data governance challenges, our experts can help you identify the highest-impact opportunities.
