Data Quality Navigator monitors business processes and data to identify compliance risks based on:

  • Proven rules to detect ERP compliance violations
  • Automated integration to cross-check business partners
  • AI-based algorithms for reliable and secure data exchange
  • Central reporting for issue identification and stakeholder alerts

Stay on the safe side by continuously monitoring data compliance. The Data Quality Navigator proactively prevents risks, systematically identifies violations, and supports their mitigation.

To make businesses processes work, companies often struggle with challenges including:

Frequently changing data

Both employees and business partners are subject to constant change. Keeping up with authorization audits and compliance checks is a resource-intensive, tedious task.

Omnipresent privacy concerns

Protecting sensitive data is vital since GDPR violations can cause serious harm. At the same time, the risk grows with every further digitalization step.

Lack of transparency

Complex business processes and system landscapes make it hard to control and enforce compliance rules.

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Empower your business with our advanced analytics and transformative solutions. Experience the Power of Data Quality Navigator. Act now!  

Empower your business with our advanced analytics and transformative solutions. Experience the Power of Data Quality Navigator. Act now!  
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Keep track of government sanctions lists in real-time 

Data Quality Navigator verifies business partners using specialized providers, promptly alerts potential violations, and provides key details for informed decision-making.

  • Compliance with sanction regulations
  • Avoidance of penalties and reputational damage
  • Prevention of supply chain disruptions
Data Validation & Enrichment

Cross-border business with peace of mind 

Using interfaces to the responsible tax authorities, Data Quality Navigator verifies your customers' VAT IDs regularly and alerts you in case of invalidity or incorrectness.

  • Financial risk and fraud prevention
  • Compliant cross-border transactions
  • Reduced manual verification effort
Data Validation & Enrichment

Mastering Fraud Detection analytics 

Stay one step ahead with our automated fraud identification checks. Data Quality Navigator identifies potential cases of fraud or fraud patterns and reveals future fraud risks. 

  • Internal control adherence monitoring
  • Fraud pattern detection and analytics
  • Preventative fraud risk detection
Data Quality Rules Data Quality MonitoringData Quality Workflow

Don't let inventory theft damage your bottom line 

Data Quality Navigator's advanced analytics algorithms automatically detect specific loss patterns as well as possible causes and identify prevention measures.

  • Theft prevention
  • Theft detection
  • Theft deterrence
Data Quality RulesData Quality MonitoringData Quality Workflow

Easily and automatically mask your data to ensure GDPR compliance 

Data Quality Navigator's masking algorithms enable you to utilize productive data in software integration tests.

  • GDPR compliance
  • Meaningful software integration tests
  • Realistic test data
Data Quality RulesData Platfrom

Trust depends on data protection - profit from it 

Data Quality Navigator's AI-based analytics algorithms identify confidential as well as personal information. If required, it is automatically masked to enable compliant data exchange.

  • GDPR compliance
  • Prevention of legal and reputational risks
  • Confidentiality protection
Data Quality RulesData Platfrom

Master access and authorizations in your systems 

Data Quality Navigator's comprehensive repository of validation rules identifies abusable authorizations to ensure process compliance.

  • Fraud prevention
  • Reduction of financial risks
  • Transparency regarding the permission management
Data Qualtiy RulesData Quality Workflow

Master Data Management in GS1 GDSN Compliance

Data Quality Navigator enhances master data integrity for GS1 GDSN, ensuring comprehensive compliance with the latest German regulations. Avoid the costly consequences of data errors such as supply chain delays, incorrect product listings, and potential regulatory fines.

  • Streamlined Regulatory Compliance
  • Prevention of Data Discrepancies
  • Facilitation of Seamless Data Exchange
Data Quality RulesData Workflow

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