Your Data Management Training: CDQ Academy
Prof. Dr. Reinhard Jung
Academic Director
Institute of Information Management, University of St. Gallen
Corporate Data Management: Leverage the Business Value of Your Data
Data is more important now than ever. The CDQ Academy recognises the industry's urgent need for professional training in data and data quality management. Experts from CDQ AG and representatives from business will share their experiences and participate in the discussions. The three training modules “Strategy & Controlling”, “Organization, People, Processes, and Methods” as well as “Data Architecture and Applications” are based on the results of a decade of work of the Competence Center Corporate Data Quality. Register now for one, two or all three modules. Each participant, participating 3 modules, will receive a confirmation of participation issued by the Institute of Information Management at the University of St.Gallen.
Dr. Zib Korendo
Course Leader, CDQ AG
Objective of the CDQ Academy: Easy entry and deep insights into CDQM
The CDQ Framework has proven to be a reliable guideline to govern all aspects of establishing and running effective corporate data quality management in large and medium sized organisations and is the part of the EFQM Excellence Modell.The CDQ Academy addresses all aspects of this Framework with theoretical foundation, best practices and real-life examples in three two-day modules. In addition to learning from the leading experts in the field and participating in interactive exercises, participants are encouraged to exchange opinions and experiences amongst each other.
Data Excellence for Business Value (Module 1)
Module 1 addresses principal business demand drivers and capability requirements for effective data management in the digital and data-driven enterprises. Participants will explore the business value contribution of data excellence and its implications for data strategy and roadmap development. This session will also cover an approach to ensuring sustainable performance and systematic improvements in key data capability areas. The conceptual foundation is backed-up with numerous good practice examples across variety of industry types.
The course addresses line and project managers in the area of data management, data stewards, data managers and data architects.
Participants who attend all three training modules will receive a ’Certificate of Participation’ from the University of St. Gallen. Participants who wish to attend only one or two of the modules may do so.
Governance and Data Quality Management (Module 2)
The course addresses line and project managers in the area of data management, data stewards, data managers and data architects.
Participants who attend all three training modules will receive a ’Certificate of Participation’ from the University of St. Gallen. Participants who wish to attend only one or two of the modules may do so.
Data Architecture, Life-Cycle and Applications (Module 3)
Module 1 addresses principal business demand drivers and capability requirements for effective data management in the digital and data-driven enterprises. Participants will explore the business value contributation of data excellence and its implications for data strategiy and roadmap development. This session will also cover an approach to ensuring sustainable performance and systematic improvements in key data capability areas. The conceptual foundation is backed-up with numerous good practice examples across variety of industry types.
The course addresses line and project managers in the area of data management, data stewards, data managers and data architects.
Participants who attend all three training modules will receive a ’Certificate of Participation’ from the University of St. Gallen. Participants who wish to attend only one or two of the modules may do so.
