Data Quality Navigator (DQN) is an AI-powered solution designed to help organizations assess, cleanse, and govern data across critical business processes. It ensures trusted, accurate, and compliant data for ERP implementations, procurement, logistics, ESG reporting, and more. Built for scalability and ease of use, DQN accelerates digital transformation by embedding data quality into everyday workflows.
Key Features:
- AI-Powered Validation: detect data issues using advanced validation against trusted sources and documents parsed by Reader AI.
- Rule Mining & Designer AI: automatically discover and create validation rules with low-code/no-code logic.
- Sweeper AI for Correction: automates error correction with intelligent suggestions and structured workflows.
- Data Enrichment: enhance datasets by filling missing details from external sources and extracting information from unstructured documents.
- Extensive Rule Catalog: access 2,500+ industry-proven validation rules for immediate insights.
- Duplicate Detection: identify and unify similar records across systems using advanced matching logic.
Benefits:
- Quick Time-to-Value: fast onboarding with prebuilt rules and templates.
- Reduced Manual Effort: automation minimizes repetitive tasks like cleansing and validation.
- Compliance & Governance: ensure regulatory adherence for ESG, e-invoicing, and procurement.
- Cross-Functional Accessibility: designed for IT and business users alike, supporting all levels of data maturity.
- Improved Efficiency: up to 80% faster cleansing and 50% reduced correction efforts.
Integrations:
- ERP Systems: SAP S/4HANA and other enterprise platforms.
- External Data Providers: integration for VAT ID checks, IBAN validation, and risk screening.
- AI Components: Reader AI, Sweeper AI, Designer AI for validation, correction, and enrichment.
Use Cases:
- ERP Implementation: reduce migration risks and accelerate stabilization phases.
- Sourcing & Procurement: improve supplier data quality for accurate spend analysis.
- Logistics & Production: enhance operational efficiency and reduce disruptions.
- ESG Reporting: ensure transparency and compliance with sustainability regulations.
- Risk Management: validate legal entity data, prevent fraud, and strengthen compliance.
