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:
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.
We are looking for PhD candidates for a PhD position in information systems at the Competence Center Corporate Data Quality (CC CDQ).
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
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
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.
During the 51st CC CDQ workshop in Gottlieben (Switzerland), Tobias Pentek presented some interesting preliminary findings from the CDQ Trend Study. The data was collected from 23 managers from 19 companies from different industries, who filled out a questionnaire comprising 165 questions and took part in a 60- to 120-minute interview.
Book now your Modul 3 of your expert training in corporate data management, which will be held in English.Read More
Book now Modul 1 of your expert training in corporate data management. Training will be held in English.Read More
Book now your Modul 2 of your expert training in corporate data management, which will be held in English.Read More
Christine Legner, Boris Otto, Rieke Bärenfänger,Tobias Pentek, Simon Schlosser, Klaus Möller, Andreas Zechmann, Martin Ofner, Zbigniew Korendo, Björn Schweiger, Christian Forstner, Geert Opdenbosch