AI and Data in Business
Master Data Management and Data Quality
This practical course develops directly applicable capability in Master Data Management and Data Quality. Participants work in depth on Master Data Domains, and Ownership and Governance, and Data Standards and Models, then convert the methods into tools and actions suited to their workplace.
Objectives
- Apply the principles and methods of master data domains in a workplace context.
- Apply the principles and methods of ownership and governance in a workplace context.
- Apply the principles and methods of data standards and models in a workplace context.
- Apply the principles and methods of data quality management in a workplace context.
- Apply the principles and methods of master data lifecycle in a workplace context.
- Apply the principles and methods of mdm improvement roadmap in a workplace context.
Target audience
- Professionals responsible for the subject area
- Managers and supervisors
- Analysts, coordinators, and specialists
- Project and improvement teams
- Employees preparing for broader responsibilities
Program outline
A clear structure for the learning journey.
Outline points are grouped in one designed block instead of being treated as separate module cards.
01Master Data Domains3 topics
- Customer, supplier, product, employee, and location data
- Master versus reference and transaction data
- Business impact of fragmented records
02Ownership and Governance3 topics
- Data owners, stewards, custodians, and users
- Decision rights for definitions and changes
- Governance councils and issue escalation
03Data Standards and Models3 topics
- Identifiers, naming, hierarchies, and attributes
- Mandatory fields and validation rules
- Golden-record and source-of-truth principles
04Data Quality Management3 topics
- Profiling completeness, validity, uniqueness, and consistency
- Root causes in process, system, and behavior
- Quality rules, thresholds, and scorecards
05Master Data Lifecycle3 topics
- Create, review, approve, update, merge, and retire
- Duplicate prevention and survivorship rules
- Bulk changes and migration controls
06MDM Improvement Roadmap3 topics
- Assessing domain maturity and business pain
- Prioritizing high-value records and controls
- Defining governance, technology, and adoption actions
Materials provided
- ○ Course-specific presentation slides
- ○ Practical exercises and facilitated activities
- ○ Course-specific worksheets, checklists, and templates
- ○ Applied workplace case studies
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D adapts this program to the participant group and workplace context. Delivery combines structured explanation with course-specific exercises, realistic cases, working tools, and an action-planning component so participants can transfer the learning to their roles.
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