Our Customers

"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 probably selling to the same entity, and we needed to ensure a smooth one face to the customer. 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 against ambitious merger timelines much faster and much better. We are happy to embark on the next part of our data quality journey with them!"

Gerhard Gripp, Global Data Lead – M&A at Bayer

"The Data Quality Tools completed 93% of 4'000 Japanese customer records with lacking zip codes, just by names and addresses! This saved us three weeks of manual work."

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

"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

"We have set out on the journey with the Data Sharing Community together with a number of peer companies. We are convinced that this will support us strategically in bringing our data management into the next generation."

Jens Peter Henriksen, Global Process Owner Master Data - Vendor Master Data, Bayer

"As a trustworthy and reliable partner, CDQ did an excellent job to support the development and implementation of our master data management strategy."

Timo Neumann, Head of Master Data Governance at ZF Friedrichshafen AG

"CDQ has supported us with excellent expertise to build up our Global Master Data Management organization. We also appreciate the active exchange at the Competence Center."

Eva Schultze, Head of Global Master Data Management at Dräger AG

"CDQ supported us on our data management journey since 2014. Their framework and methods helped us to enable our global organization in handling data, as one of our most valuable assets."

Markus Rahm, Vice President Corporate Data Management at Schaeffler Technologies AG & Co. KG

"The theoretical part in connection with the practical part of this training gave me a really good perspective of how I can handle this in my daily business, address the right topics and ultimately how I can get more results in my projects."

Andreas Mörker, Master Data Manager Corporate IT, SIGVARIS Management AG

"Case studies from guest speakers brought lots of input and stimulation, as did open discussions and the exchange of experiences with participants. Insights from participants who have already been working on practical applications surrounding this topic for years save us from potential errors and, therefore, save us time and money."

Jean-Philippe Roulet, Head CC Information & Data Management, Helvetia AG

Why is data important?

"Decisions depend on data. This includes everything from strategy to daily processes. Data will continue to become even more important in the future. In short, we need good data so that we can better understand our customers and to create and deliver good products and services.

And how did the CC CDQ membership help you?

"We can learn directly from best practices and join forces to develop new topics. For example, we are able to implement our data catalog project much faster, cheaper and with better quality than would have been possible with a classic project approach from a management consultancy. The resulting network is also extremely valuable. Concrete questions can be answered informally with the help of respective experts from other companies."

Jan Hinsch, Head of Corporate Data Management, tesa SE