Introduction

Data governance is essential for organizations to manage data assets effectively, ensure regulatory compliance, and achieve strategic objectives. This Data Governance Fundamentals training program provides participants with a strong foundation in data governance principles, frameworks, and best practices. It equips them with the knowledge and skills to establish data governance strategies that promote data quality, security, and usability across their organizations.

Target Audience

• Data governance and management professionals.

• IT managers and business analysts.

• Compliance officers and regulatory specialists.

• Data stewards and custodians.

• Professionals interested in implementing or enhancing data governance frameworks.

Objectives

By the end of the program, participants will:

• Understand the principles and importance of data governance.

• Explore frameworks and models for effective data governance.

• Learn strategies for ensuring data quality, security, and compliance.

• Develop skills to establish roles, responsibilities, and processes for data governance.

• Create a roadmap for implementing or improving data governance in their organizations.

Outlines

Day 1:

Introduction to Data Governance

• Key Topics:

  • What is Data Governance and Why is it Important?

  • Key Drivers for Data Governance: Compliance, Quality, and Strategy.

  • Components of a Data Governance Program.

  • Stakeholders in Data Governance: Roles and Responsibilities.

  • Case Studies: Successful Data Governance Implementations.

• Outcome: Participants understand the foundational concepts and the need for data governance.

Day 2:

Building a Data Governance Framework

• Key Topics:

  • Overview of Industry-Standard Frameworks (e.g., DAMA DMBOK).

  • Defining Policies, Standards, and Guidelines.

  • Data Stewardship: Roles and Responsibilities.

  • Aligning Data Governance with Business Objectives.

  • Workshop: Drafting a Data Governance Charter.

• Outcome: Participants gain the ability to create a tailored data governance framework.

Day 3:

Ensuring Data Quality and Compliance

• Key Topics:

  • Data Quality Dimensions: Accuracy, Consistency, and Completeness.

  • Implementing Data Quality Controls and Tools.

  • Regulatory Compliance: GDPR, CCPA, HIPAA, and More.

  • Audit and Monitoring Processes for Governance Programs.

  • Hands-on Session: Applying Data Quality Tools.

• Outcome: Participants acquire practical skills for maintaining data quality and compliance.

Day 4:

Data Security and Privacy in Governance

• Key Topics:

  • Importance of Data Security in Governance.

  • Data Classification and Access Control Mechanisms.

  • Managing Privacy Concerns: Techniques and Tools.

  • Integration with Cybersecurity Programs.

  • Case Study: Resolving Security Breaches in Data Governance.

• Outcome: Participants learn how to integrate security and privacy into data governance.

Day 5:

Implementing and Sustaining Data Governance

• Key Topics:

  • Developing a Roadmap for Data Governance Implementation.

  • Measuring Success: Metrics and KPIs for Data Governance.

  • Overcoming Challenges in Implementation.

  • Driving Organizational Change and Culture for Governance Success.

  • Workshop: Designing a Data Governance Implementation Plan.

• Outcome: Participants create a practical and actionable data governance roadmap.