Course Overview

The Data Governance Course is designed to provide learners with a comprehensive understanding of how to establish and maintain a robust data governance framework. Participants will explore best practices in data governance, including data quality management, data stewardship, compliance, and the role of governance in ensuring data integrity. The course covers key areas such as data policies, data standards, data privacy, and regulatory compliance, empowering learners to lead data governance initiatives in their organisations. By the end of the course, learners will be equipped to implement data governance strategies that ensure data is managed as a strategic asset.

 

Prerequisites

A basic understanding of data management, IT operations, or business processes is recommended.

Target Audience

This course is ideal for data governance professionals, data stewards, compliance officers, IT managers, and business professionals responsible for managing and safeguarding data within their organisations. It is also suitable for individuals looking to enhance their data governance skills.

Course Highlights

  • Learn how to establish and implement a data governance framework.
  • Develop skills in managing data quality, data stewardship, and data policies.
  • Explore best practices in data privacy, regulatory compliance, and risk management.
  • Gain hands-on experience in monitoring and enforcing data governance standards.
  • Ensure data integrity, security, and compliance with data governance initiatives.

Course Objectives

By the end of this course, learners will be able to:

  • Establish and implement a comprehensive data governance framework within their organisation.
  • Manage data quality by defining standards and ensuring data integrity across data domains.
  • Develop and enforce data governance policies to ensure compliance with internal and external regulations.
  • Implement data privacy and security measures that protect sensitive information.
  • Lead data governance initiatives by engaging cross-functional teams and stakeholders.
  • Monitor and report on data governance activities to ensure continuous improvement.
  •  Align data governance strategies with business goals and regulatory requirements.
  • Ensure that data is treated as a valuable asset by embedding governance practices into daily operations.
  • Manage risks associated with data privacy, security, and regulatory compliance.
  • Build a data-driven culture that promotes data stewardship and accountability.

Course Outline

Instructional Methods: Group discussions on the importance of data governance, practical exercises in data governance basics, and case studies on governance frameworks.

Topics Covered:

  • The importance of data governance in today’s data-driven organisations.
  • Key principles and objectives of data governance.
  • Establishing a data governance framework: Roles, responsibilities, and processes.
  • The role of data governance in supporting business objectives and compliance.
  • Overview of data governance frameworks: DAMA DMBOK, COBIT, and others.

Instructional Methods: Hands-on exercises in managing data quality, group discussions on data stewardship, and case studies on ensuring data integrity.

Topics Covered:

  • Defining and measuring data quality: Accuracy, completeness, and consistency.
  • Establishing roles and responsibilities for data stewardship.
  • Data quality management frameworks and tools.
  • Managing data quality across different data domains.
  • Ensuring continuous data quality improvement through monitoring and reporting.

Instructional Methods: Group discussions on developing data policies, practical exercises in creating data standards, and case studies on ensuring regulatory compliance.

Topics Covered:

  • Developing and enforcing data governance policies and standards.
  • Establishing data ownership and accountability across the organisation.
  • Implementing data privacy laws and regulatory compliance (e.g., GDPR, PDPA).
  • Ensuring data protection and security through governance policies.
  • Monitoring compliance with internal and external data governance requirements.

Instructional Methods: Practical exercises in data privacy management, group discussions on data security, and case studies on protecting sensitive data.

Topics Covered:

  • Managing data privacy across different regions and industries.
  • Implementing data protection frameworks to safeguard personal data.
  • Securing sensitive information through encryption and access controls.
  • Addressing data security breaches and ensuring data breach response readiness.
  •  Ensuring compliance with global data privacy regulations.

Instructional Methods: Hands-on exercises in building data governance programs, group discussions on program implementation, and case studies on successful governance rollouts.

Topics Covered:

  • Designing and implementing data governance initiatives.
  • Building cross-functional data governance teams.
  • Integrating data governance with IT and business processes.
  • Managing the lifecycle of data governance programs.
  • Overcoming challenges in implementing data governance across the organisation.

Instructional Methods: Practical exercises in monitoring data governance performance, group discussions on reporting, and case studies on governance oversight.

Topics Covered:

  • Monitoring data governance activities and ensuring compliance.
  • Developing key performance indicators (KPIs) for data governance.
  • Reporting on data governance initiatives to stakeholders and management.
  • Continuous improvement of data governance processes through monitoring and feedback.
  • Using dashboards and reporting tools for real-time governance insights.

Certification

A certificate of completion will be awarded upon successful completion of the course.

Course Fees

$788 $488