Data Quality Management

Seminars
Trainings
Workshops
Roundtables

Data Quality Management
What is data quality management and how can it be specifically set up, introduced and controlled in the company? Learn the basics and critical steps required to plan and implement data quality initiatives.
Learning objectives
In an open, pleasant atmosphere, you will learn about current findings and approaches for the introduction of data quality programs, taking into account ISO 8000-61. Experienced senior experts will use numerous practical examples to explain different approaches and tools 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 (duration & content can be designed), each 09:00 – 17:00 hrs.
- Lectures, discussion and group work
- Catering
- Materials
Target group
- Professionals and managers whose job and success depends on the quality of their data
- All decision makers, project and program managers who want to gain more control over the quality of their data
- CIO’s, CTO’s, CDO’s
- Data users, managers, strategists, data owners & data stewards
- Data quality managers from business and IT.
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:
- The basics of data quality management (DQM)
- The basic structures, trends and challenges
- The importance of ISO 8000 -61 as a basis for the planning, introduction and systematic operation of DQM in a company.
- Integration of DQM in compliance (e.g. DSGVO) and risk management.
- Anchoring of a DQM between business departments, data management and IT.
- Definition of roles and responsibilities and anchoring of DQM in effective data governance.
Consideration of the core data quality disciplines:- Data Quality Planning
- Data Quality Control
- Data Quality Assurance
- Data Quality Improvement
- Supporting disciplines
- The data quality organization
- Success factors of effective DQM projects
- Worth knowing from case studies