Competence Center Corporate Data Quality

Competence Center Corporate Data Quality (CC CDQ)

Competence Center Approach

The Competence Center Corporate Data Quality (CC CDQ) addresses the challenges for data management resulting from the digitalization of the economy and the digital transformation of businesses. The CC CDQ is a research consortium and expert community in the field of data management. It bridges the gap between theory and practice by bringing together data management experts from companies and academia:

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.

The core objective of the CC CDQ is to transfer theoretical work 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.

If you would like to learn more about the CC CDQ or to become a member of the CC CDQ, please contact us.

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Data Management Research

Innovative data management solutions based on academic research: Here you will find a selection of our current research and best practice topics, which we develop and advance together with our members. Current topics from the area of Data Management Research

Benefits of a CC CDQ Membership

Value Proposition	Benefits
Community Network of data management experts from leading companies and research institutions	CC CDQ workshops (5x2 days p.a.) CDQ Good Practice Award and Young Talent Award finalist presentations Information sharing and access to expertise in partner companies, e.g. in 27 Break-Out-Sessions in 2018
Research and Co-Innovation Development of innovative solutions for enterprise-wide data management based on member companie's requirements	Definition of research agenda by CC CDQ members Access to latest research deliverables (e.G. market studies, reference models 2 Co-Innovation streams: Data catalog, data lake governance 2 Focus grous: SAP MDG, data quality & business impact
Knowledge Best practices and a comprehensive set of concepts, methods and tools for data management	Access to CDQ knowledge base, including: All academic CC CDQ publications since 2006 (e.g. 12 dissertations, Data Excellence Model documentation) All CC CDQ workshop presentations CDQ Academy with reduced fees for CC CDQ members

If you would like to learn more about the CC CDQ or to become a member of the CC CDQ, please contact us.

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Prices

Type of Membership	1-year contract	2-year contract	3-year contract
CC CDQ membership with annual right of cancelation	75'000 CHF p.a.	71'250 CHF p.a. (-5%)	67'500 CHF p.a. (-10%)
CC CDQ membership without right of cancelation	75'000 CHF p.a.	67'500 CHF p.a. (-10%)	60'000 CHF p.a. (-20%)

Members of the CC CDQ*

What our members say

Jan Hinsch, Head of Corporate Data Management, tesa SE

Why is data important?

"Decisions depend on data. This includes everything from strategy to daily processes. Data will continue to become even more important in the future. In short, we need good data so that we can better understand our customers and to create and deliver good products and services."

And how did the CC CDQ membership help you?

"We can learn directly from best practices and join forces to develop new topics. For example, we are able to implement our data catalog project much faster, cheaper and with better quality than would have been possible with a classic project approach from a management consultancy. The resulting network is also extremely valuable. Concrete questions can be answered informally with the help of respective experts from other companies."

Jan Hinsch, Head of Corporate Data Management, tesa SE

Klaus Pfreundner, Director Corporate Master Data Management Solutions, Robert Bosch GmbH

"The CC CDQ is a platform for Bosch where we gain valuable input and insight into a large variety of topics related to data management and data quality. As a community of data experts from large international enterprises, the CC CDQ is a great partner for bench-marking, developing good practice, and identifying trends and future topics in data management. All this supports Bosch on its journey to turning our data into key-assets and becoming a leading, AI-driven IoT enterprise!""
Klaus Pfreundner, Director Corporate Master Data Management Solutions, Robert Bosch GmbH

Success Story: Data Management at Schaeffler Group

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 the CC CDQ. Data management at the Schaeffler Group

History of the Competence Center Corporate Data Quality

2006: The Competence Center Corporate Data Quality (CC CDQ) started as a consortium research project at the University of St. Gallen supported by four industry partners (Bayer, Daimler, Deutsche Telekom and IBM). Co-founders were Prof. Dr. Christine Legner and Prof. Dr. Boris Otto, who established and further developed the CC CDQ as project managers under the scientific direction of Prof. Dr. Hubert Österle. One of the first research results is the CDQ Framework ("CDQ House"), that guides practitioners in establishing enterprise-wide data management (later revised and renamed in Data Excellence Model.

2009: The European Foundation for Quality Management (EFQM) adopted CC CDQ’s Data Quality Management Approach as EFQM Framework for Corporate Data Quality Management. Using the logic for EFQM excellence model as blueprint, the framework supports organizations in maturity assessment and benchmarking.

2011: Under the direction of Prof. Dr. Boris Otto and Dr. Dimitrios Gizanis, the Competence Center Corporate Data Quality has grown to over 10 members in five years.

2013: The CC CDQ launches the CDQ Academy in cooperation with the Institute of Information Management of the University of St. Gallen. The CDQ Academy provides a dedicated training program for data management professionals based on CC CDQ methods, concepts and tool. The program comprises three modules (2 days each) covering data strategy, processes and organization, architecture and applications.

2013: Together with the European Foundation for Quality Management (EFQM), the CC CDQ initiates the CDQ Good Practice Award, to acknowledge outstanding, innovative projects in the field of data management.

2015: As SAP MDG becomes the solution of choice for master data distribution in large companies, the CC CDQ members start the SAP MDG Focus Group. This neutral platform allows practitioners to share their experiences, present their solutions, discuss best practices, and provide feedback to SAP and their future MDG product roadmap.

2015: The CC CDQ actively promotes the idea of data sharing and collaboration and launches the Corporate Data League (CDL): Dr. Kai Hüner and Dr. Simon Schlosser drive the development from a research prototype into a productive data sharing platform. Today, the CDL is today a data sharing community of companies, such as Bayer, Lanxess and Nestlé, that jointly maintain business partner data (customer & supplier data). CDQ AG moderates the cooperation and provides the technical platform: the CDQ Cloud Engine with innovative services for data cleansing or enrichment.

2015: Prof. Dr. Boris Otto and Prof. Dr. Hubert Österle publish the book "Corporate Data Quality: Prerequisite for Successful Business Models" in English and German versions. This publication summarizes the CC CDQ framework and concepts, and their practical implementation based on case studies.

2015: Prof. Dr. Christine Legner from HEC Lausanne becomes the new academic director for CC CDQ, after Prof. Dr. Boris Otto's appointment as professor at TU Dortmund University and Executive Director at Fraunhofer ISST.

2016: The CC CDQ celebrates its 50th workshop in June 2016 in Nuremberg.

2017: The CDQ framework is revised to reflect the strategic relevance of data in digital and data-driven enterprises. The new version of the data management framework is renamed in Data Excellence Model and published under Creative Common License.

2018: CDQ Academy revises their trainings and adopts the Data Excellence Model.

2018: Competence Center Corporate Data Quality has 20 active members. The CC CDQ results have been documented in numerous Data Management Publications for practitioners and academics and in more than 12 dissertations on data management topics such as data strategy, data governance, data controlling or data architecture. The Data Excellence Model consolidates the CC CDQ results in a data management framework that guides practitioners in managing data as true company assets.