Winner of the CDQ Good Practice Award 2019
We're Happy to Announce the Winner of the CDQ Good Practice Award 2019: Schaeffler Technologies AG & Co. KG. Congratulations!
More about our finalists
Managing Big Data & Analytics
Successful management of Big Data and Analytics requires scalable data onboarding and analytics delivery processes with little human intervention but strong governance.
Big Data & Analytics
Recent Publications
Our various publications create added value for you and your company. Scientifically based models and methods for efficient management of your data.
Request publications for free
Data Management for Data Protection (GDPR)
Data protection regulations, such as GDPR, are fundamentally about data management. The CC CDQ research team provides a data-centric view on data protection regulatory requirements throughout the data lifecycle.
Data Management for Data Protection
Using Machine Learning for Improving Data Quality
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
Data Excellence Model (DXM)
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
Open Data App Store
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
Data Catalog Reference Model and Market Study published
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
We are hiring: PhD students
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
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
- Corporate partners are more than 15 renowned companies from different industries that consider data management critical for the success of their business.
- Researchers come from leading academic institutions – among them the Faculty of Business and Economics (HEC – University of Lausanne), the Institute of Information Management (IWI – University of St. Gallen), and the Institute of Accounting, Control and Auditing (ACA – University of St. Gallen).
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.
CC CDQ Continues Working as Virtual Community!
Due to the current Corona pandemic, we now support our community members remotely. Here you can find information about our workshops, co-innovation and focus group activities.
Empowering Data Consumers to Work with Data: Data Documentation
The CC CDQ metadata reference model for data documentation in the enterprise context was developed with CC CDQ member following a Design Science Research process.
Overview of Workshops and Focus Topics of 2020 is Now Online!
The "CC CDQ Working Mode 2020" is now online. CC CDQ Members can see now quickly which topic will be part of which workshop.
Winner of the CDQ Good Practice Award 2019
Schaeffler Technologies AG & Co. KG finally won the race for the CDQ Good Practice Award 2019.
Data Documentation for Data Catalogs: Metadata model and attributes (Work report, 2020)
Data Excellence Model Template (2019)
Managing Data as an Asset with the Help of Artificial Intelligence (Study, 2019)
Data sharing for better data quality
CDQ's innovative data sharing solutions ensure better data quality of customer and vendor master data with less manual effort. Taking a first step is easy! Data sharing for better data quality
Data Management Services
Whether data quality analytics, address validation, deduplication or bank account verification: Our innovative data management services help you to enhance the quality of your vendor and customer master data. Data Management Services 9008 St. Gallen
Switzerland
88045 Friedrichshafen
Germany
