The Data Governance and Master Data Management Training Course by Oxford Training Centre, within the Data Science and Visualization category, provides practical knowledge and strategies for managing data as a trusted organizational asset. The course focuses on data governance, master data management, data quality, data stewardship, compliance frameworks, and data lineage. Participants will learn how to establish governance structures, define data ownership, improve data consistency, manage critical data assets, and support secure, compliant, and data-driven decision-making.
Objectives
- Understand the principles, frameworks, and practices of data governance.
- Develop effective master data management strategies and processes.
- Establish clear data ownership, accountability, and data stewardship roles.
- Improve data quality, consistency, accuracy, and accessibility.
- Create effective policies, standards, and governance controls.
- Apply data lineage techniques to improve data transparency and traceability.
- Understand regulatory requirements and relevant compliance frameworks.
- Identify and manage data risks, security concerns, and governance gaps.
- Develop practical approaches for data classification and metadata management.
- Support organizational decision-making through trusted and well-governed data.
Target Audience
- Data Governance Managers and Professionals
- Data Stewards and Data Owners
- Master Data Management Professionals
- Data Analysts and Data Scientists
- Data Architects and IT Professionals
- Business Intelligence Professionals
- Compliance and Risk Management Professionals
- Information Management Specialists
- Database and Data Quality Managers
- Managers responsible for organizational data strategy
Course Content
Module 1: Fundamentals of Data Governance
- Definition and principles of data governance
- Data governance frameworks and operating models
- Roles, responsibilities, and accountability
- Data governance maturity assessment
- Building a data-driven governance culture
Module 2: Data Stewardship and Ownership
- Principles of data stewardship
- Data owners, custodians, and stewards
- Defining accountability and decision rights
- Data stewardship operating models
- Developing effective stewardship practices
Module 3: Master Data Management
- Introduction to Master Data Management (MDM)
- Identifying critical master data domains
- Customer, product, supplier, and reference data
- Master data models and hierarchies
- MDM implementation strategies
Module 4: Data Quality Management
- Dimensions of data quality
- Data quality assessment and profiling
- Identifying and resolving data quality issues
- Data cleansing and standardization
- Data quality metrics and KPIs
Module 5: Data Lineage and Metadata Management
- Understanding data lineage
- End-to-end data traceability
- Metadata management principles
- Data catalogs and business glossaries
- Improving transparency and data discoverability
Module 6: Data Policies, Standards, and Compliance
- Developing data governance policies
- Data classification and handling standards
- Regulatory requirements and compliance frameworks
- Privacy, security, and data protection considerations
- Governance controls and audit readiness
Module 7: Data Governance Technology and Implementation
- Data governance tools and platforms
- MDM technologies and data integration
- Data governance workflows
- Measuring governance effectiveness
- Developing and implementing a practical data governance roadmap
FAQs
What is data governance?
Data governance is a structured approach to managing data through policies, standards, roles, responsibilities, and controls to ensure data remains accurate, secure, compliant, and reliable.
What will I learn in this Data Governance and Master Data Management course?
You will learn about data governance frameworks, master data management, data quality, data stewardship, data lineage, metadata management, compliance, and governance implementation.
Who should attend this data governance training course?
The course is suitable for data professionals, data stewards, data owners, analysts, IT professionals, compliance specialists, data architects, and managers responsible for organizational data.
Why is data stewardship important?
Data stewardship establishes accountability for data quality, consistency, security, and appropriate use, helping organizations maintain reliable and trusted data.
What is data lineage?
Data lineage tracks where data originates, how it moves and changes across systems, and where it is ultimately used, improving transparency, traceability, and governance.
Does the course cover compliance frameworks?
Yes. The course introduces compliance requirements, governance controls, data protection considerations, policies, standards, and compliance frameworks relevant to effective data management.