Data Quality Solutions & Services for Better Master Data

17 +
Years experience
200 +
Mio data records
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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Data management success stories of our customers

Watch on-demand

During their joint webinar, Stefan Peetz and Thomas Gutmann gave insights how the Schwarz Group was able to successfully centralize its system landscape while sustainably improving business partner data quality.

Webinar: How Schwarz masters data centralization
Watch on-demand

With the help of CDQ, Bayer was able to automate master data workflows and to manage the trade-offs between data quality, risks and manual efforts in their vendor master data management.

Customer Success Story Bayer
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In an article published in the specialist magazine „Big Data Insider“, Markus Rahm provides insights into data management at Schaeffler. And how it has evolved with the help of CDQ.

Customer Success Story Schaeffler
Free download

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.

eBook download

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.


CDQ Data Excellence Model
Business case calculator
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How much cost saving potential does collaborative data maintenance offer your company? Find out now with our Business Case Calculator!

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Data Quality as a Service
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200 million data records, more than 2,100 data quality rules and 70 trusted reference data sources improve your data quality in real time.

Data Quality Suite 1
Resources for you
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Ebooks, white papers, case studies, research articles, and templates: Here, you can find our data management publications at a glance.

Data Management Publications

Data Quality Solutions & Services: Customer testimonials

Thomas Gutmann

CDQ delivers a data management toolbox for our business partner data. The wide range of use case specific solutions created instant benefits for our internal customers. Together with the innovative CDQ Data Sharing Community we shape the future of interenterprise MDM.

Thomas Gutmann
Business Consulting BI & Data, Schwarz IT
Philippe Baumlin

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
Thorsten Hähnel

The CDQ Suite completed 93% of 4,000 Japanese customer records that were lacking zip codes by recognizing names and addresses! This saved us three weeks of manual work.

Thorsten Hähnel
Business Process Management – Manager of Data Design, Sartorius Stedim Biotech GmbH
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