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Data & AI Training

Data Governance Fundamentals

A clear, practical introduction to data governance, why it matters, and how the 8-Gate Framework turns governance from theory into an operating discipline.

Code: DG1 Track: Data Governance Length: 1 hour (other formats available) Level: Foundation
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Overview

Data governance is one of the most misunderstood areas of data and AI. Too often it is seen as bureaucracy, policy overload, or a blocker to delivery. In reality, effective governance is what enables organisations to scale data use safely, consistently and with confidence.

This session provides a clear, practical foundation for data governance, framed through the 8-Gate Framework. It explains what governance really is, what it is not, and how it connects directly to business outcomes, decision-making, risk management and data quality. The emphasis is on clarity, shared understanding and practical application, not theory.

Who it is for

  • Executives and senior leaders accountable for data, digital or AI risk.
  • Heads of Data, CDOs, CIOs and transformation leaders establishing governance for the first time.
  • Data Owners, Stewards and operational leaders who need clarity on roles and expectations.
  • Programme and delivery leads struggling with inconsistent data decisions or unclear accountability.

What you will learn

  • What data governance actually means in a modern organisation.
  • The difference between governance, management, architecture and tooling.
  • How the 8-Gate Framework structures governance in a way that supports delivery rather than slowing it down.
  • Why governance must start with business outcomes, not policies.
  • Common governance failure modes and how to avoid them.
  • How governance underpins data quality, trust and regulatory confidence.

Agenda

  • Why data governance fails (and what successful organisations do differently).
  • Defining governance in plain business language.
  • Governance vs data management vs platforms.
  • Deep dive on Gate 7: Governance and its dependencies.
  • How governance connects to data quality, ownership and decision rights.
  • Practical examples from real-world organisations.
  • Open discussion and Q&A based on your context.

Delivery and format

Delivered as a 1 hour interactive virtual session, with options to extend into a 2 hour working session focused on your portfolio.

  • Format: Live virtual or on site.
  • Group size: Up to 25 participants recommended.
  • Optional: Follow-up roadmap working session with your leadership team.

Next steps

This course is commonly followed by: DG2 · Ownership and Stewardship, DG3 · Data Forums & Communication and DG5 · Policies & Standards. Together, these form a practical governance foundations pathway.