17+
Years experience
200+
Mio data records
2100
Data quality rules
Data Quality Solutions & Services

Companies want data they can rely on, but data changes quickly

How can they keep up with the heavy burden of master data maintenance? With constantly cleaned and enriched data, we help you create trusted customer and vendor master data that paves the way to seamless data-driven processes, better business decisions, and to maximize the potential of data for true innovation. CDQ brings master data automation to the data economy. Our vision for your business partner data: zero maintenance, 100% quality.

CDQ enables large enterprises to tackle data quality and data maintenance efforts collaboratively. This results in high master data quality with low manual efforts for our customers. We achieve this by validating against 2,100+ data quality rules, continuously updating existing records, and enriching missing information. Pulling from more than 60 external reference data sources such as open data, commercial registers, third-party services, and shared data from the community, our data quality solutions provide the best master data quality.

CDQ (which stands for Corporate Data Quality) emerged from the University of St. Gallen, Switzerland, and has more than 17 years of data management expertise, spending years on researching how to create and maintain trusted customer and vendor master data. Many well-known global companies from different industries already rely on our CDQ Suite, which offers Data Quality as a Service (DQaaS) and collaborative data management to reduce their data maintenance costs significantly.

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Publication: The Data Value Formula

Today, access to valuable data is a superpower. But just having a lot of data is not enough. In their recent e-book, CDQ data experts from the Competence Center Corporate Data Quality (CC CDQ) explain how to turn data into business value using a simple model – the Data Value Formula.

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Publication: The Data Value Formula
Innovation & research in data management

Competence Center Corporate Data Quality (CC CDQ)

Our customers benefit from data quality solutions that are built on our practice-proven and research-based expertise. Our communities are the collective power of global best-practices in master data management.

CC CDQ

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CDQ Data Excellence Model

Data Quality Solutions & Services: Customer testimonials

Sharing proven bank account data saves significant time, compared to contacting the customers/vendors directly to verify new bank accounts. "Data Shareconomy" is an effective approach to unlock this source of trusted information.

Philippe Baumlin
Manager of Global Master Data Strategy, BASF
Gerhard Gripp

When Bayer and Monsanto merged in August 2018, we had to consolidate a decade of vendor and customer data from two companies into one database. Both companies were selling to the same customers and we needed to present one face. CDQ helped us with their cloud-based solution in record time. They analyzed over 1.3 million records, suggested quality improvements, pointed out double entries, and ran a series of workshops where we tackled one region after the other. In total, we eliminated over 80 thousand duplicates and improved data quality in over 1 million records in a time span of 10 weeks. A merger of this size needed the best data management approach we know. With CDQ, we could deliver faster and better! We are happy to embark on the next part of our data quality journey with them!

Gerhard Gripp
Global data lead - M&A, Bayer Business Services GmbH