Get More From Your Partner Data With Firmographic Enrichment

The connector to Dun & Bradstreet, one of the world's leading data providers, provides access to company information covering over 250 million businesses worldwide.

This native integration automatically populates and updates your partner profiles with key data types including financial metrics, risk scores, technographic data, industry classifications and corporate relationships.

Business Partner Data Cloud matches your existing partner records against D&B's third-party data using their D-U-N-S® number or other identifiers, keeping data fresh 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 dataset, whether via CSV import or direct integration with your tech stack, 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 for a variety of use cases.

The real-time enrichment processes connect to D&B's database through a web services API, 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, preventing data decay from affecting your records.

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, job titles and main contacts change over time.

The data quality system applies automated checks and standardization rules to keep your partner information accurate, ensuring your sales teams and marketing teams always have reliable data. The contact enrichment process includes data cleansing, 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 and improve conversion rates over time.