Welcome to the Competence Center Corporate Data Quality

The Competence Center Corporate Data Quality is a research consortium and expert community in the field of data management addressing the challenges resulting from digitalization and data-driven strategies.


Find out more

Data Excellence Model

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.


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Are you the next winner? We're open for applications!

If you are ready for the challenge to participate in the CDQ Good Practice Award 2017, make sure you turn in your project description in time (deadline: September 13th, 2017).


Apply here

Recent Publications

"Assessing the Economic Value of Data Assets", " Business and Data Management Capabilities for the Digital Economy" or "Corporate Data Quality: Prerequisite for Sucessfull Buiness Models" are some of the publications that you can request for free.


Get your free copy

CC CDQ Members

are an elite group of practitioners of organizations who strive to achieve excellence in data management and stay informed about new trends, developments and opportunities. They are at the same time provider and receiver of the knowledge that has been built within this community.


See who is already participating

54th CC CDQ Workshop in Hamburg

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.


Register now

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.

Contact us

Prof. Dr. Christine Legner
Call: +41 21 692 3432
Want to E-mail us? info@cdq.ch
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News
24.04.2017

New CC CDQ Members: BASF and RUAG

Since the beginning of this year, BASF and RUAG have been an official member of the Competence Center Corporate Data Quality (CC CDQ)

16.04.2017

CDQ Trendudy: Management summary available

The emergence of new business trends has a significant impact on data management.

18.01.2017

The Competence Center Corporate Data Quality is looking for PhD candidates

We are looking for PhD candidates for a PhD position in information systems at the Competence Center Corporate Data Quality (CC CDQ).

08.12.2016

Schaeffler erhält Good Practice Award für herausragendes Konzerndatenmanagement

Der Maschinenbauer und Automobilzulieferer aus Herzogenaurach folgt beim Stammdatenmanagement einer klaren Strategie und nutzt unter anderem Kennzahlen für die Messung und nachhaltige Verbesserung seiner Datenqualität   

08.12.2016

Schaeffler receives good practice award for excellence in data quality management

German technology company and automotive supplier pursues an elaborate data management strategy, including the use of performance indicators to measure and sustainably improve data quality 

21.11.2016

The unknown value of data

Although it is widely agreed that “you can't manage what you don’t measure”, a broadly accepted method for determining the economic value of data assets is still missing. To close this gap, a work report presents two methods for assessing the value of data. 

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Events

CDQ Academy - Data Architecture and Applications (in Stuttgart)

Book now your Modul 3 of your expert training in corporate data management, which will be held in English.

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11.-12.05.2017

CDQ Academy - Strategy and Controlling (in Stuttgart)

Book now Modul 1 of your expert training in corporate data management. Training will be held in English.

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10.-11.10.2017

CDQ Academy - Organization, People, Processes & Methods (in Stuttgart)

Book now your Modul 2 of your expert training in corporate data management, which will be held in English.

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07.-08.02.2018

CDQ Academy - Data Architecture and Applications (in Stuttgart)

Book now your Modul 3 of your expert training in corporate data management, which will be held in English.

Read More
08.-09.05.2018
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Recent Publications

Business and Data Management Capabilities for the Digital Economy

Rieke Bärenfänger, Boris Otto, Dimitrios Gizanis

Corporate Data Quality

Boris Otto, Hubert Österle

Data Excellence Model: Short Description and Basic Terminology

Tobias Pentek, Christine Legner

Framework for Corporate Data Quality Management

Christine Legner, Boris Otto, Rieke Bärenfänger,Tobias Pentek, Simon Schlosser, Klaus Möller, Andreas Zechmann, Martin Ofner, Zbigniew Korendo, Björn Schweiger, Christian Forstner, Geert Opdenbosch

Master Data erfolgreich managen

Boris Otto, Christine Legner

Master Data Management 2015: Proposal for future steps

Dimitrios Gizanis

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