Many organizations lack vital information about their business partners, making it difficult to evaluate opportunities and risks effectively. Your partner database often has basic contact details but misses crucial company information.
Business Partner Data Cloud adds verified company data to your partner profiles automatically through integration with Dun & Bradstreet, providing you with financial metrics, industry classifications and corporate structures.
The Dun & Bradstreet connector provides access to company information covering over 250 million businesses worldwide.
The integration automatically populates and updates your partner profiles with key data points including financial metrics, risk scores, industry classifications and corporate relationships.
The system matches your existing partner records against D&B's database using their DUNS number or other identifiers, maintaining data accuracy through regular synchronization.
The classification system uses established frameworks like SIC and NAICS codes to categorize your business partners. You can apply these standardized classifications across your partner database to create consistent segmentation.
The system maintains hierarchical relationships between classification levels and allows you to add custom categories that align with your specific business needs. This means you can analyze partners across industries and sectors.
The real-time enrichment service connects to D&B's database through web services, so you have immediate access to current company information.
When users add new partners or update existing records, the system automatically validates and enriches the data. This includes address verification, company name standardization and addition of firmographic details.
The service runs continuous checks to identify and update changed information.
The relationship mapping capability uses D&B's corporate hierarchy data to show connections between companies, subsidiaries and parent organizations.
You can view and navigate these relationships through an interactive interface that show ownership percentages, operational control and organizational structures.
The system then maintains these relationship maps automatically as corporate structures change over time.
The data quality system applies automated checks and standardization rules to keep your partner information accurate. It includes duplicate detection, format standardization and data completeness monitoring.
You can set up custom validation rules based on your data requirements and business rules. The system tracks data lineage and maintains audit logs of all changes, helping you monitor data quality over time.