Course Overview
As organizations generate and rely on vast amounts of data, effective governance and compliance strategies have become essential to safeguard information assets, ensure accountability, and comply with complex regulations. Weak or absent governance exposes businesses to risks, penalties, and reputational damage.
This course provides executives and professionals with the knowledge to build robust governance frameworks, implement data policies, and manage compliance with international standards. Participants will gain practical tools for data quality, security, accountability, and risk management.
At EuroQuest International Training, the course blends governance models, regulatory insights, and hands-on case studies, equipping participants with both strategic and operational expertise.
Key Benefits of Attending
Learn to design effective data governance frameworks
Strengthen compliance with global regulations (GDPR, HIPAA, etc.)
Improve data quality, security, and accountability
Integrate governance with business and IT strategies
Build resilience against data-related risks
Why Attend
This course empowers professionals to transform data into a trusted business asset while ensuring compliance with international legal and ethical standards.
Course Methodology
Expert-led lectures and governance frameworks
Practical workshops on policy and data stewardship
Case studies on regulatory compliance failures and successes
Interactive group exercises on data risk scenarios
Hands-on development of governance strategies
Course Objectives
By the end of this ten-day training course, participants will be able to:
Define the principles of data governance and compliance
Develop policies for data ownership, stewardship, and accountability
Apply regulatory frameworks such as GDPR, HIPAA, and ISO standards
Align governance with IT, business, and risk management functions
Ensure data quality, accuracy, and consistency across systems
Implement data classification and access controls
Establish reporting, monitoring, and auditing practices
Manage risks related to data breaches and misuse
Embed ethics and transparency in data-driven strategies
Communicate governance priorities to executives and regulators
Build maturity models for continuous improvement
Drive organizational culture toward responsible data use
Target Audience
Chief data officers and data governance leaders
Risk and compliance managers
IT and data security professionals
Legal and regulatory officers
Business leaders overseeing data-driven strategies
Target Competencies
Data governance framework design
Regulatory compliance management
Data quality and stewardship
Risk and security management
Ethical and transparent data use
Organizational change leadership
Strategic data management
Course Outline
Unit 1: Introduction to Data Governance and Compliance
Defining governance and compliance principles
Business value of governance frameworks
Key challenges in regulatory alignment
Case studies of governance failures
Unit 2: Data Governance Frameworks and Models
Centralized vs federated governance
Roles and responsibilities in governance
Maturity models for governance structures
Industry frameworks and benchmarks
Unit 3: Regulatory Environment for Data Compliance
GDPR, HIPAA, CCPA, and international laws
Industry-specific compliance requirements
Cross-border data transfer regulations
Regulatory enforcement case studies
Unit 4: Data Quality and Integrity
Defining data quality standards
Tools for profiling, cleansing, and validation
Ensuring accuracy, consistency, and timeliness
Monitoring data lifecycle quality
Unit 5: Data Ownership and Stewardship
Assigning accountability across stakeholders
Roles of data owners and stewards
Creating stewardship policies
Building a data-centric culture
Unit 6: Data Classification and Access Control
Data classification frameworks
Implementing least-privilege access
Identity and access management integration
Protecting sensitive data assets
Unit 7: Data Security and Privacy in Governance
Security controls and encryption strategies
Privacy-by-design in data processing
Preventing breaches and unauthorized use
Security compliance case studies
Unit 8: Risk Management in Data Governance
Identifying and assessing data risks
Integrating with enterprise risk management
Mitigating compliance-related risks
Business continuity and resilience
Unit 9: Monitoring, Reporting, and Auditing
Compliance monitoring systems
Internal and external auditing practices
Building regulatory reports and dashboards
Measuring governance effectiveness
Unit 10: Ethical and Responsible Data Use
AI and data ethics in governance
Transparency and accountability frameworks
Avoiding bias in data-driven systems
Building public and stakeholder trust
Unit 11: Organizational Change for Governance Adoption
Embedding governance into business processes
Driving cultural change and executive buy-in
Employee awareness and training initiatives
Overcoming barriers to adoption
Unit 12: Capstone Governance and Compliance Project
Designing an organizational governance framework
Group policy drafting exercise
Compliance scenario simulation
Action plan for long-term governance maturity
Closing Call to Action
Join this ten-day training course to master data governance and compliance strategies, enabling your organization to protect information, meet regulations, and ensure business resilience.
The Data Governance and Compliance Strategies Training Courses in Kuala Lumpur equip professionals with a structured and practical understanding of how to manage data as a strategic asset while ensuring accountability, integrity, and regulatory alignment. This specialization is designed for data managers, IT leaders, compliance officers, risk professionals, and executives who seek to establish robust governance frameworks that support secure, ethical, and efficient data use across their organizations.
Participants develop a comprehensive foundation in data governance and compliance, exploring how policies, roles, and controls shape the full data lifecycle—from creation and storage to usage, sharing, and retention. The programs emphasize governance models, data ownership, stewardship, quality management, and classification strategies that enable organizations to maintain consistency, reliability, and transparency in data-driven operations. Through applied case studies and interactive discussions, participants learn to design governance structures that balance innovation with risk management and accountability.
These data governance and compliance training programs in Kuala Lumpur blend conceptual frameworks with real-world application. Key topics include data risk assessment, privacy and security alignment, audit readiness, metadata management, and the integration of governance practices within enterprise architecture and digital transformation initiatives. Participants also explore how data governance supports analytics, business intelligence, and strategic decision-making while reducing operational and reputational risk.
Attending these training courses in Kuala Lumpur offers a collaborative learning environment guided by experts with international experience in data management and compliance leadership. The city’s role as a regional hub for digital and business innovation enriches the experience through diverse perspectives and practical insight. By completing this specialization, participants emerge equipped to lead data governance initiatives, strengthen compliance strategies, and unlock sustainable value from organizational data—ensuring trust, resilience, and long-term performance in a data-driven global economy.