AI-ready dataset for business partner analytics and visualization This dataset provides standardized, enriched information on 2,000 of the largest global companies, based on publicly available data. It is designed to support both analytical workflows and AI applications, thanks to its comprehensive scope and semantically well-documented data fields. , EIN, LEI) Registered and headquarter addresses with geographic coordinates Standardized industry classifications (NACE, NAICS, SIC) Key financials for 2024 (Revenue, Profit, Assets, Market Capitalization) Narrative company profiles The data is structured according to the CDQ Business Partner Data Model , which ensures semantic consistency and traceability across jurisdictions.
This dataset demonstrates the power of structured, high-quality data in enabling business partner insights, AI-based enrichment, and compliance use cases. Created and shared by CDQ , a leading provider of trusted business partner data with a global knowledge base of over 200 million company records.
Intelligence Score
19/100
Your Rating
Platforms
1
Domain
cdq.com
Data Quality SignalsD
Freshness
Single-source
API Status
No API
Completeness
Compliance (vendor-reported)
SOC 2
ISO 27001
GDPR
CCPA
Quality Breakdown
Data Coverage20
Documentation75
Compliance0
Pricing Clarity0
Signal Analysis
Categories
AI & MLCustomer OnboardingData EngineeringData Quality and CleansingESG Investment AnalysisGeospatialLocation Data EnrichmentLocation GeocodingMarket Analysis
Listed On
snowflake_marketplace
Intelligence Scores3/7 pillars scored
Market Presence
19
Integration
20
Business Maturity
3
Extended Analytics
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About CDQ AG
CDQ AG is an alternative data vendor. CDQ AG specializes in ai & ml, customer onboarding, data engineering, data quality and cleansing, esg investment analysis data. This vendor has a Vedex Intelligence Score of 19 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
Data Categories
CDQ AG operates in the following alternative data categories.
AI & MLCustomer OnboardingData EngineeringData Quality and CleansingESG Investment AnalysisGeospatialLocation Data EnrichmentLocation GeocodingMarket Analysis