Data Governance and Master Data Management

Information Technology and Digital Systems October 25, 2025
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Introduction

This comprehensive course provides the knowledge and skills to establish effective data governance frameworks and master data management programs. Participants will learn to develop data policies, implement governance structures, manage data quality, and establish master data management processes. The program covers both strategic planning and practical implementation, addressing how to align data governance with business objectives and create sustainable data management practices. Through case studies and interactive exercises, attendees will gain the expertise to lead data governance initiatives that improve data quality, compliance, and business value.

Objectives

Key learning objectives for this course include:

  • Develop comprehensive data governance frameworks and strategies
  • Establish data governance organizational structures and roles
  • Implement data quality management processes and metrics
  • Design and implement master data management solutions
  • Create data policies, standards, and procedures
  • Manage data catalog and metadata management systems
  • Develop data lineage and impact analysis capabilities
  • Implement data security and privacy controls
  • Measure and communicate the value of data governance

Target Audience

  • Data Governance Managers
  • Chief Data Officers
  • Data Stewards
  • IT Managers
  • Business Analysts
  • Compliance Officers
  • Data Architects
  • Information Security Professionals

Methodology

  • Case studies of data governance implementations
  • Policy development workshops
  • Data quality assessment exercises
  • Tool evaluation and selection activities
  • Stakeholder management role-plays
  • Group discussions on governance challenges
  • Individual action planning

Personal Impact

  • Enhanced data governance and management skills
  • Improved stakeholder management and influence abilities
  • Stronger policy development and implementation capabilities
  • Increased confidence in leading data initiatives
  • Better understanding of regulatory compliance
  • Professional growth in data management career

Organizational Impact

  • Improved data quality and consistency
  • Enhanced regulatory compliance and risk management
  • Better decision-making through trusted data
  • Reduced data-related costs and inefficiencies
  • Increased data sharing and reuse
  • Stronger data-driven culture

Course Outline

Data Governance Foundations

Framework Development
  • Data governance concepts and principles
  • Developing data governance frameworks
  • Business case development for data governance
  • Stakeholder analysis and engagement
Organizational Structure
  • Data governance roles and responsibilities
  • Data stewardship programs
  • Governance committees and decision rights
  • Change management for data governance

Policy & Standards Development

Policy Framework
  • Data policy development
  • Data standards and procedures
  • Data classification schemes
  • Policy communication and training
Compliance Management
  • Regulatory compliance requirements
  • Data privacy regulations
  • Audit and compliance reporting
  • Risk management framework

Data Quality Management

Quality Framework
  • Data quality dimensions and metrics
  • Data profiling and assessment
  • Data quality monitoring
  • Root cause analysis
Improvement Processes
  • Data cleansing and standardization
  • Data quality improvement initiatives
  • Data quality tools and technologies
  • Business process integration

Master Data Management

MDM Concepts
  • Master data management principles
  • MDM implementation styles
  • Domain-specific MDM (customer, product, etc.)
  • MDM architecture patterns
Implementation
  • MDM tool evaluation and selection
  • Data matching and merging
  • Golden record creation
  • MDM workflow design

Metadata Management

Metadata Framework
  • Metadata types and categories
  • Business glossary development
  • Data dictionary management
  • Metadata standards and models
Data Catalog
  • Data catalog implementation
  • Automated metadata collection
  • Data lineage and impact analysis
  • Search and discovery capabilities

Technology & Tools

Tool Landscape
  • Data governance platform evaluation
  • MDM technology selection
  • Data quality tools
  • Metadata management tools
Implementation Planning
  • Tool implementation strategies
  • Integration with existing systems
  • Vendor management
  • Total cost of ownership analysis

Measurement & Sustainability

Value Measurement
  • Data governance metrics and KPIs
  • ROI calculation for data governance
  • Business value demonstration
  • Maturity assessment
Sustainable Practices
  • Continuous improvement processes
  • Organizational culture development
  • Training and awareness programs
  • Future trends in data governance

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