CDQ Good Practice Award 2019
Grundfos, Robert Bosch GmbH, SAP SE and Schaeffler Technologies AG & Co. KG have made it into the final round of this year's competition! The winner will be announced during the 2019 CDQ Good Practice Award ceremony on December 4th in Cologne.
More about our finalists
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
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
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.
Computerworld Article: Blueprint for the Corporate Data Strategy
In her presentation at the TDWI Conference 2019 in Zurich, Prof. Dr. Christine Legner pointed out how companies can develop a suitable and sustainable data strategy. This process and the importance of such a strategy in a digitally transformed future are the subject of a current article in the Swiss technical journal "Computerworld".
CDQ Good Practice Award 2019
Grundfos, Robert Bosch GmbH, SAP SE and Schaeffler Technologies AG & Co. KG have made it into the final round of this year's competition!
Swarovski Group joined the Competence Center Corporate Data Quality
We'll give you a quick overview of how our latest community member's data management currently looks like.
CDQ Young Talent Award: Looking for the Winner 2019
Now we are looking for the winner for 2019. Deadline for submission for the 2019 CDQ Young Talent award is January 15, 2020.
Managing Data as an Asset with the Help of Artificial Intelligence (Study, 2019)
PMI's Journey Towards a Data-Driven Enterprise (Case Study, 2018)
Assessing the Economic Value of Data Assets (Work Report, 2016)
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 9008 St. Gallen
Switzerland
78224 Singen
Germany
