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.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Master Data Domains
Customer, supplier, product, employee, and location data
Master versus reference and transaction data
Business impact of fragmented records
Module 2: Ownership and Governance
Data owners, stewards, custodians, and users
Decision rights for definitions and changes
Governance councils and issue escalation
Module 3: Data Standards and Models
Identifiers, naming, hierarchies, and attributes
Mandatory fields and validation rules
Golden-record and source-of-truth principles
Module 4: Data Quality Management
Profiling completeness, validity, uniqueness, and consistency
Root causes in process, system, and behavior
Quality rules, thresholds, and scorecards
Module 5: Master Data Lifecycle
Create, review, approve, update, merge, and retire
Duplicate prevention and survivorship rules
Bulk changes and migration controls
Module 6: MDM Improvement Roadmap
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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