Webinar: How Schwarz Masters Data Centralization

During our free webinar on September 29, Stefan Peetz will give insights how the Schwarz Group was able to successfully centralize its system landscape while sustainably improving quality of its business partner data.
Register now!

Data Strategy

A Data Strategy defines how a company will manage and use its data to generate value. We explain how to build a strategy and why it is essential for your business.
Data Strategy

E-Book: The Data Value Formula

Today, access to valuable data is a superpower. But just having a lot of data is not enough. In our recent e-book, our experts explain how to turn data into business value using a simple model – the Data Value Formula.
The Data Value Formula

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

Managing Enterprise Analytics Platforms

Successful management of enterprise analytics platforms requires scalable data onboarding and analytics delivery processes with little human intervention but strong governance.
Managing Enterprise Analytics Platforms

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 data management research consortium and expert community 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.

Get in touch with us

We look forward to your message!

+41 71 571 10 40

Newsletter

News

09.12.2020

Winner of the CDQ Good Practice Award 2020: Bayer AG!

We are happy to announce the winner and finalists of the competition and their innovative submissions.

03.11.2020

Good Practice Award 2020: The Finalists Have Now been Announced

Bayer, Beiersdorf, and Deutsche Bank made it into the final round of this year's award.

03.07.2020

Webinar Series: How to Manage Data as an Asset

This webinar series summarizes good practices and research results of the Competence Center Corporate Data Quality (CC CDQ).

17.04.2020

Success Story: Data Management at Schaeffler

In an article recently 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 CC CDQ.