Successfully introduce data governance
Seminars
Trainings
Workshops
Roundtables
Successfully introduce data governance
What is data governance and how can it be specifically set up, introduced, controlled and the value concretely measured in the company?
Learning objectives
In an open, pleasant atmosphere, you will learn about current findings and approaches for the introduction of data governance programs. Experienced senior experts use numerous practical examples to explain different approaches to solutions at all levels: Strategic, organizational, technological. You will have the chance to bring your own situation into the discussion as a case study and learn valuable design tools for data governance initiatives.
Format
- 1-2 day seminar, 09:00 – 17:00 hrs.
- Lectures, discussion and group work
- incl. catering
- incl. materials
Target group
- Specialists and managers in the data-driven environment
- All decision makers, project managers and experts who want to professionalize their handling of data
- CIO’s, CTO’s, CDO’s
- Data users, managers, strategists, data owners & data stewards
- Data Manager, Data Engineer, Data Scientist, Business Intelligence Manager
Price
- 2-day seminar: 1.530,- € per person
- Seminar + Expert Coaching (4 x 1h, as needed) = 1.980,-€.
All prices per person plus VAT.
For in-house team seminars with individual content, we will be happy to make you a suitable offer. Please contact us.
You learn and experience:
- what data governance is, what it is not and how it works
- current trends and changes in data governance
- the interplay between data governance and data management disciplines
- how to truly quantify the benefits of data governance initiative
- how regulatory requirements (e.g., data privacy, information security, et al.) can be embedded in data governance
- how data governance can be linked to internal risk management
- how to structure and implement a successful DG program and measure progress.
- which tools support planning and implementation of data governance programs
- what defines the success of a DG program (structurally, organizationally, and technologically)
- How to embed data governance organizationally. What roles, responsibilities, and decision-making mechanisms are required?
- which technologies support systematic data governance
