CDQ

We help to manage business partner master data powered by #datasharing

General Information
Company Name
CDQ
Founded Year
2015
Location (Offices)
Switzerland +3
Founders / Decision Makers
Number of Employees
93
Industries
Cloud Infrastructure, Data Analytics
Funding Stage
-
Social Media

CDQ - Company Profile

CDQ is a data management startup that offers 100% data quality with zero manual maintenance for data-driven organizations. The company's automation of business partner data management processes eliminates error-prone manual work, providing support for data assessment, normalization, merging, and quality assurance. CDQ also facilitates fraud prevention, bank account trust scoring, and sanctions checks. Emerging from the University of St. Gallen in Switzerland, CDQ has over 18 years of data management expertise. The company provides access to over 70 external registers and premium data sources through the CDQ Cloud Platform, as well as a gateway to connect to any business application with a set of more than 2500 ready-to-use data quality rules. CDQ has gained recognition for its solutions, including an official endorsement by SAP for its CDQ First Time Right solution and acknowledgment by Gartner’s Magic Quadrant in the Interenterprise MDM category. Notable global enterprises such as Bayer, Tetra Pak, and Nestle rely on CDQ's software solutions to address data challenges and benefit from best practices within the CDQ Data Sharing Community. Founded in 2015, CDQ operates in the Cloud Infrastructure and Data Analytics industries. The company's headquarters, last investment, and last investment investors have not been specified. Overall, CDQ presents a robust data management solution that has garnered recognition from industry leaders and offers valuable tools for data quality and automation. As a venture capital analyst, it is essential to note the company's strong industry recognition and its position as a trusted solution provider for global enterprises. CDQ's focus on data sharing and its extensive experience in data management make it a compelling investment opportunity in the data management and analytics space.

Taxonomy: Master Data Management, Data Quality Management, Data Sharing, MDM Solutions, Data Enrichment, Data Governance, Data Strategy, Data Validation, Data Standardization, Fraud Prevention, Data Automation, Business Partner Data, Data Integration, Enterprise Data Management, SAP Integration

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