CDQ Academy: Your Data Management Training
Complete data management course for sustainable data quality
Prof. Dr. Reinhard Jung
Academic Director
Institute of Information Management, University of St. Gallen
Dr. Zib Korendo
Head of CDQ Academy
CDQ AG
Professional data management is more important now than ever and has evolved its meaning from reactive necessity to a competitive advantage enabler. That’s why companies increasingly consider data a business-critical asset, with tangible impact on business operational capabilities, business model enhancements, compliance and many other aspects. Many of today’s data management approaches and concepts, however, should be revised and modernized in order to create business value from data.
The CDQ Academy was established to provide professional courses in the area of data management. This specialized program has been built in response to the widespread need for practical data management training. Since 2013, more than 400 participants have benefited from the data quality management expertise of CDQ and the Institute of Information Management of the University of St. Gallen.
Why should you join the CDQ data management training?
Do you want to learn more about data quality management? What is the most applicable description of your current situation in context of data management?
- "I'm new to my data management role or have got a new project"
- "With our data quality issues I find myself fighting against the windmills"
- "I have been working in the field for years, but would like to explore the state-of-the-art trends and practices"
- "My company has only started to establish data management function as a permanent discipline"
With the help of the CDQ Academy courses, you get an efficient entry and deep insights into data management concepts and best practices. You will receive answers to many common questions, like:
- Data strategy: How do I argument the business value of data management improvements?
- Data quality: How do I measure data quality or which KPIs are relevant?
- Data management roadmap: What are the state-of-the-art developments and trends?
- Data governance: How other companies have structured data governance roles?
During the three seminar modules experts from CDQ AG and representatives from various industries will share their experience, practical solutions and real-life use cases. In addition, in small working groups you will try out the new concepts in practice. By joining the CDQ Academy data management course, you stay tuned to the state-of-the-art data management know-how and grow your network of data-oriented peers.
Participant testimonies
"The theoretical part in connection with the practical part of this training gave me a really good perspective of how I can handle this in my daily business, address the right topics and ultimately how I can get more results in my projects."
Andreas Mörker, Master Data Manager Corporate IT, SIGVARIS Management AG
"Case studies from guest speakers brought lots of input and stimulation, as did open discussions and the exchange of experiences with participants. Insights from participants who have already been working on practical applications surrounding this topic for years save us from potential errors and, therefore, save us time and money."
Jean-Philippe Roulet, Head CC Information & Data Management, Helvetia AG
Structure of the CDQ data management training courses
Our data management training program is based upon the practice-proven CDQ Data Excellence Model (DXM) framework, that is a structured reference model addressing all aspects of developing and maintaining effective data quality in digital and data-driven companies. This model has been developed in a joint effort by the Competence Center Corporate Data Quality (CC CDQ), from which the CDQ Academy emerged. The program consists of three training modules:
- Module 1: "Data Excellence for Business Value"
- Module 2: "Governance and Data Quality Management"
- Module 3: "Data Architecture, Life-Cycle and Applications"
Accordion title: The data management training modules at a glance:
Excellence drivers in data management, corresponding strategy development and continual improvements
Module 1 of the data management course addresses principal business outcome drivers and capability requirements for effective data management that delivers measurable business value. Participants will explore frameworks for contribution of data excellence and its implications for data strategy and roadmap development. This session will also cover an approach to ensuring effective and sustainable improvements in key data capabilities across people, process and technology areas. The conceptual foundation is validated by numerous good practice examples across variety of industry types.
Data-oriented governance setup, data quality management and performance assessments
This data management course provides fundamentals for two key data management enabler areas - data governance and performance measurement system. You will learn about typical data management roles and responsibilities, how they become operational in various organizational models, how to design a purposeful data quality monitoring framework and use it for continual corrective and optimization measures. The presented concepts and models are complemented with practical insights into deployment approaches, with reflections on lessons-learned from implementation experience, again with a number of good practice examples.
Enabling aspects for data management in context of business processes and IS environment
The third data management module focuses on very operational aspects of data management - data models, life-cycle processes and lineage, including perspectives on information architecture requirements and solutions. Participants will also familiarize themselves with essential software components supporting data management activities.
Your benefits of joining the CDQ Academy for Data Excellence
- Build up the case for state-of the-art data management through conceptual foundations, templates and practical insights packed into each 2-day training course
- Experts from large international companies will share practical insights and report on challenges and solutions from their daily practice
- Experienced consultants share their methods and tools in data management
- In small groups you directly apply the newly learned concepts in a creative atmosphere
- Get inspired by questions from other participants and by confronting your ideas with practices from the others – coming from various industries and markets
- Strengthen your motivation and nurture your thinking forward – cross-check your data management roadmap with other practitioners
- Extend your network! You will enjoy plenty of time for personal exchange during coffee and lunch breaks as well as at the dinner
Facts about the CDQ Academy data management course
- You may attend the training modules in any order (e.g. start from Module 2).
- Upon completion of all 3 modules you will obtain a certificate from the University of St. Gallen.
- You get the link to all presentations of the course and to supplementary publications of the Competence Center Corporate Data Quality.
- Drinks and food during the coffee and lunch breaks are included.
- The networking dinner on the 1st day is included.
- Discounts for groups and CC CDQ Members are available.
- Your investment is CHF 2'150 per 2 days training module.
- The CDQ Academy is under the direction of Prof. Dr. med. Reinhard Jung from the Institute of Information Management at the University of St. Gallen and Dr. Zib Korendo from CDQ AG.
Where does the data management training take place?
The CDQ Academy training for Data Excellence training takes place in Germany. The data management training facilities are easy to reach and offers a pleasant learning environment. If you need more information, please feel free to contact us!
Preview: Further training dates for the Academy
|
Module |
Date |
Location |
|---|---|---|
|
14./15. May 2019 |
Frankfurt am Main |
|
|
Data Excellence for Business Value (M1) |
8./9. October 2019 |
Wiesbaden |
|
Governance and Data Quality Management (M2) |
4./5. February 2020 |
Wiesbaden |
|
Data Architecture, Life-Cycle and Applications (M3) |
12./13. May 2020 |
Wiesbaden |
Participation Fees
The participation fee is 2,150 Swiss Francs (exclusive of VAT) for each training module. If more than one participant from the same company attend the same module, each additional participant receives a 15% discount.
Members of the CC CDQ pay reduced fee of 1,490 Swiss Francs (exclusive of VAT). No discounts are applicable.
Included in the fee are lunches, catering during breaks, the dinner on the first evening, and all necessary course documents. Travel expenses and accommodation are not included in the fee.
Reimbursment Policy
In the event of cancellation of participation no later than twenty-eight days prior to the beginning of the course, the fee will be fully refunded. If participation is cancelled at a later date or registered participants do not attend, CDQ invoices a cancellation fee of 500 CHF.
Please note that the program is subject to change without prior notice.
Data Architecture, Life-Cycle and Applications (Module 3)
Module 3 focuses on very operational aspects of data management - data models, life-cycle processes and lineage, including perspectives on information architecture requirements and solutions. Participants will also familiarize themselves with essential software components supporting data management activities.
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 Excellence for Business Value (Module 1)
The focus of Module 1 of the data management course is on 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)
Module 2 provides fundamentals for two key data management enabler areas - data governance and performance measurement system. You will learn about typical data management roles and responsibilities, how they become operational in various organizational models, how to design a purposeful data quality monitoring framework and use it for continual corrective and optimization measures. The presented concepts and models are complemented with practical insights into deployment approaches, with reflections on lessons-learned from implementation experience, again with a number of good practice example.
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.
