Data Sharing Community Portal

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Welcome to the Portal of the CDQ Data Sharing Community

The CDQ Data Sharing Community is a trusted network of user companies to manage business partner data collaboratively.

What's new? (RSS)

  • 2025-10-30: Duplicate Guard – Next-Generation Continuous Duplicate Monitoring Read more...
  • 2025-10-30: Custom Data Transformations for Bank Account Data Mirror Read more...
  • 2025-10-29: New data source integration: Mexican Taxpayer Registry Read more...
  • 2025-10-14: Improved Visibility for Report Generation Issues Read more...
  • 2025-10-02: Custom Matching Classifications in Lookup Configuration Read more...
  • 2025-09-29: Bank Account Data Mirror Imports Now Available in Cloud Apps Read more...
  • 2025-09-29: AML Guard – Improved Business Partner Name Search, Relationship Guard – Simplified D&B Integration Read more...
  • 2025-09-26: Integration of CRIBIS – Commercial Data Source for Italian Business Partners Read more...

... further results

Data model

The model standardizes how business partner information is described and linked. It includes core concepts, their attributes, and the relationships required for validation logic, data observability and interoperability with external reference sources. Each concept is defined with clear semantics to support use cases such as legal form recognition, address normalization, identifier validation, entity matching and structured data sharing. Its 265 concepts and the 3,924 mapped external concepts with 37,302 mapped terms are documented in this wiki, serving as a standardized business vocabulary.

Data sources

The Data sharing platform integrates 336 data sources with 3,925 concepts and 37,302 terms.

All concepts and terms are mapped to the CDQ data model, e.g., 3,274 legal forms from LEI (data source) are mapped to 1,004 legal forms managed by CDQ.

Metadata and standards: Metadata-driven data quality

Metadata defines how data is structured, interpreted, and validated across systems. It is the foundation that enables organizations to exchange and compare information consistently, regardless of jurisdiction or language. For CDQ, metadata is essential to make data sharing possible at scale and across borders.

Because regulatory and business requirements change over time, metadata must evolve dynamically. CDQ maintains a continuously updated metadata repository that captures national and sector-specific data rules, such as address formats, identifier structures, and legal form codes. This ensures that shared and validated data remains semantically correct and compliant across all contexts. By sharing standardized metadata, CDQ enables customers to align their data models and validation rules, making collaboration efficient and legally sound.

Description
Managed reference data for administrative areas such as regions, provinces, or counties, including their ISO 3166-2 codes and hierarchical relationships.
Managed reference data for bank accounts worldwide.
Managed reference data for business identifiers used to uniquely identify legal entities, establishments, and other organization types across jurisdictions.
Conceptual structure of business partner data across the CDQ platform with 265 concepts. It provides a consistent semantic framework for representing legal entities, addresses, identifiers, classifications and related attributes that are used in CDQ Cloud Services such as validation, monitoring and data sharing.
Managed reference data for countries based on ISO 3166-2 standards, used for harmonization, validation, and international data interoperability.
Managed reference data for counties, including their ISO 3166-2 codes and hierarchical relationships.
Documentation of 2,921 data quality rules with explanation and technical constraints to validate business partner data records.
Managed reference data for 1,004 legal forms with official and commonly used abbreviations and corresponding country. Legal forms with a similar purpose, beside country-specific aspects, are grouped by 86 legal form categories.
Managed reference data for localities (such as cities or towns) used for harmonization and standardization, including exonym terms in multiple languages.
Managed reference data for post codes used for validation, harmonization, and standardization of postal addressing.
Managed reference data for postal delivery points, such as Post Office Boxes, used for identification, extraction, harmonization and standardization.
Managed reference data for regions, including their ISO 3166-2 codes and hierarchical relationships.
Managed reference data for registration authorities responsible for issuing and maintaining official business identifiers.
Managed reference data for thoroughfares of type STREET used for harmonization and standardization.