As member of the CC CDQ you have 24/7 access to the CC CDQ Knowledge Base with hundreds of documents including presentations from past workshops, dissertations, case studies and work reports. To access the knowledge base in the “member section”.
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We invite applications for our PhD Positions (100%) at the University of Lausanne/HEC in the Competence Center Corporate Data Quality. You will contribute to the design and implementation of a Data App Store or Machine Learning interrogations in business contexts. Employment rate is 100%!
To our PhD job offers

The winners of the CDQ Good Practice Award 2018 have now been announced.

First place went to Robert Bosch Gmbh, followed by Philipp Morris International and Deutsche Telekom AG. Congratulations!
More details about the winners

Our various publications create added value for you and your company. Scientifically based models and methods for efficient management of your data.
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The Competence Center Corporate Data Quality (CC CDQ), in collaboration with researchers from Fraunhofer ISST and many data management experts, developed a data catalog reference model and a market study.
Data Catalogs

Increased data volumes put companies under pressure to systematically manage and control their data assets. Find out how Artificial Intelligence (AI) and Machine Learning (ML) techniques can support you in your data management activities.
Machine Learning

The digital transformation of businesses has brought about a fundamental change in many industries. The new Data Excellence Model offers support and guidance for practitioners.
Data Excellence Model

The Competence Center Corporate Data Quality (CC CDQ), together with the University of Lausanne, launched a project to provide an “Open Data App Store” that supports businesses in finding, integrating and using open data.
Open Data App Store

Competence Center Corporate Data Quality (CC CDQ)

Bridging the gap between theory and practice by bringing together data management experts from companies and academia

The Competence Center Corporate Data Quality (CC CDQ) is a research consortium and expert community in the field of data management addressing the challenges resulting from digitalization and data-driven strategies. The core objective of the CC CDQ is to transfer innovative concepts and scientific research results in the domain of data management to everyday business practice in order to support companies in managing data as an asset

The CC CDQ is headed by Prof. Dr. Christine Legner (HEC – University of Lausanne) and operated by CDQ AG.

Based on latest scientific and practical insights, the CC CDQ develops methods, architectures, reference models, and prototypes needed for efficient implementation of data management. As an expert community, the CC CDQ hosts workshops and focus groups in which knowledge and experiences are shared, best practices are presented, and approaches and solutions are discussed.

Get in touch with us!

Prof. Dr. Christine Legner

We look forward to your message!

Call us now! info@cdq.ch

Updates from CDQ

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News

12.12.2018

LIDL joins the CC CDQ

The German global discount supermarket chain joins the Competence Center Corporate Data Quality 

12.12.2018

Tetra Pak joins CC CDQ

The world's leading food processing and packaging solutions company joins the CC CDQ

07.12.2018

Good Practice Award 2018 – Winner Robert Bosch reveals secret to data success

Congrats to Robert Bosch - winner of the CDQ Good Practice Award 2018

25.10.2018

CDQ Good Practice Award 2018: Finalists nominated

We are happy to announce the three finalists of the 2016 CDQ Good Practice Award: Deutsche Telekom, Philip Morris International and Robert Bosch. Congratulations!

06.04.2018

Seeking Young Talents in Data Management

This year‘s winner will be announced during the next CC CDQ Workshop scheduled for May 8, 2018 in Hamburg.

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