Enterprise Data Governance and Stewardship

Course Category : Data Management

An advanced programme for establishing enterprise data governance, defining stewardship accountability, strengthening data quality and compliance, and enabling trusted, controlled use of organisational data assets.
Duration: 5 Days
Level: Advanced

Introduction

Enterprise data has evolved from an operational resource into a strategic asset whose reliability directly influences decision quality, compliance, risk management, and organisational performance. As data ecosystems expand across functions and systems, organisations require clearly defined governance structures covering ownership, authority, accountability, standards, and control.
This course develops advanced capabilities in enterprise data governance and stewardship, addressing operating models, data ownership, stewardship responsibilities, data quality, metadata, policies, controls, performance measurement, and the establishment of sustainable governance structures that strengthen trust in organisational data..

Targeted Audience

Data Governance and Data Management Managers
Data Stewards and Data Officers
Enterprise Data Owners
Quality, Compliance, and Risk Managers
IT and Digital Transformation Managers
Data Management and Architecture Professionals
Business and Data Analysts
Leaders responsible for enterprise data policies and standards

Targeted Skills

Enterprise Data Governance Framework Design
Data Ownership and Stewardship Accountability
Policy, Standard, and Control Development
Data Quality Management and Measurement
Metadata and Enterprise Data Definition Management
Data Lifecycle and Classification Governance
Accountability and Decision-Rights Design
Data Governance Maturity and Performance Assessment

Expected Outcomes

Explain core and advanced principles of enterprise data governance.
Design a governance model defining roles, accountability, and decision rights.
Define responsibilities for data owners, data stewards, and governance bodies.
Develop policies, standards, and controls supporting data quality, protection, and appropriate use.
Establish approaches for data quality, metadata, and data asset classification.
Design performance indicators for governance effectiveness and compliance.
Assess data governance maturity and identify institutional improvement priorities.

Training Topics Index

Data governance concepts and relationship with data management
Data as an enterprise asset and associated responsibilities
Ownership, accountability, and decision-right principles
Centralised, decentralised, and federated governance models
Alignment of data strategy with organisational objectives

Roles of data owners, data stewards, and data custodians
Data governance councils, committees, and decision structures
Organisational accountability and responsibility models
Coordination between business and technology functions
Data issue management, escalation, and governance decisions

Data quality dimensions and measurement criteria
Data quality rules and performance indicators
Metadata management and business glossaries
Data classification and critical data elements
Root-cause analysis and remediation of data quality issues

Development of enterprise data policies and standards
Access, usage, and data-sharing controls
Privacy, retention, and disposal requirements
Governance across the enterprise data lifecycle
Integration of governance with compliance and risk management

Target operating models for data governance
Governance KPIs and compliance metrics
Data governance maturity assessment
Change management and data accountability culture
Governance programme roadmap and sustainability

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

Enterprise Data Governance and Stewardship