An applied five-day programme focused specifically on Data Governance and Data Quality.
This five-day Kaizen European Academy programme is dedicated specifically to Data Governance and Data Quality. It develops practical capability in Data Governance through structured explanation, applied tools, realistic scenarios and guided workshops. Participants move from core concepts to hands-on application, performance control and an implementation plan that can be transferred directly to their workplace.
Explain the essential concepts, terminology and professional context of Data Governance and Data Quality.
Apply the principal methods and tools used in Data Governance and Data Quality.
Analyse realistic situations and make evidence-based decisions related to Data Governance and Data Quality.
Evaluate performance, risk and control requirements in Data Governance and Data Quality.
Develop a practical implementation or improvement plan for Data Governance and Data Quality.
Professionals, specialists, supervisors and managers whose responsibilities involve data governance and data quality or who need to build practical capability in this area.
Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.
Explain the essential concepts, terminology and professional context of Data Governance and Data Quality. Apply the principal methods and tools used in Data Governance and Data Quality. Analyse realistic situations and make evidence-based decisions related to Data Governance and Data Quality. Evaluate performance, risk and control requirements in Data Governance and Data Quality. Develop a practical implementation or improvement plan for Data Governance and Data Quality.
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
Scope, terminology and professional context of Data Governance and Data Quality
Current practices and emerging trends in Data Governance and Data Quality
Roles, responsibilities and stakeholder expectations in Data Governance and Data Quality
Diagnostic assessment of current Data Governance and Data Quality practices
Data governance principles
Data ownership
Data stewardship
Data domains
Data policies
Data standards
Metadata
Data lineage
Data quality dimensions
Data-quality rules
Issue management
Master data concepts
Privacy and security interfaces
Governance councils
Data catalogues
Data controls
Choose one of the next planned European dates, or create a private delivery around your own schedule.
No public date is currently displayed for this programme. Choose the programme, preferred city and approximate dates. We will organise the venue, trainer and delivery format around your requirements.
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
Final venue, dates and trainer are confirmed when the session is scheduled.