Welcome to the DGX Data Governance Framework — a practical, no-nonsense model designed to make implementing data governance straightforward. We created this framework to simplify the complex world of data governance and give organisations a clear, actionable structure they can actually use.
It’s designed to be easy to follow, easy to customise, and focused on outcomes — not jargon. Whether you’re starting from scratch or strengthening existing efforts, the DGX Framework helps you cut through the noise and get governance working across your business.
Crafted in alignment with DAMA principles and compliant with the Australian Prudential Regulation Authority (APRA) standards, the DGX Framework ensures both technical accuracy and strategic alignment — helping executives and data teams work together to treat data as a true enterprise asset.

Establish

Lay the foundations for governing data across your organisation.

  • Data Governance Strategy: Align your data initiatives with business goals and regulatory requirements.

  • Data Policies & Standards: Define clear rules and expectations for managing data responsibly.

  • Operating Model: Structure how governance roles, processes, and teams operate.

  • Data Committees & Councils: Set up decision-making forums to provide oversight and resolve issues.

  • Roles & Responsibilities: Assign accountability across Sponsors, Stewards, and SMEs.

  • Data Lifecycle Management: Govern data from creation to retention and secure destruction.

Understand

Build clarity and shared understanding of your organisation’s data.

  • Data Lineage: Map where data comes from, how it flows, and where it goes.

  • Metadata Management: Capture and manage metadata to support data discovery and use.

  • Business Glossary: Define business terms consistently across systems and teams.

  • Critical Data Elements (CDEs): Identify and govern the most important data fields.

  • Information Classification: Categorise data based on sensitivity and criticality.

Protect

Safeguard your data with robust controls and governance.

  • Data Privacy & Security: Secure your data in line with privacy laws and internal standards.

  • AI Governance & Ethics: Ensure ethical, transparent, and compliant use of AI.

  • Third-Party Management: Govern how third parties access, use, and protect your data.

  • Data Retention & Destruction: Apply rules for how long data is kept and how it is disposed of.

  • Data Risk & Compliance: Embed governance into your enterprise risk and compliance activities.

  • Data Asset Management: Maintain a governed inventory of critical data assets.

Enable

Make data valuable, usable, and owned by the business.

  • Data Quality: Monitor, measure, and improve the accuracy, completeness, and consistency of data.

  • Data Stewardship: Put the right people in charge of data domains and decision-making.

  • Data Product Governance: Govern dashboards, reports, APIs, and other reusable data outputs.

  • Data Literacy: Equip people with the skills and knowledge to use data effectively.

  • Reference & Master Data: Ensure shared data like customer, product, or location is consistent across systems.

Want to talk data
governance?

We’d love to understand your goals and challenges — and help you navigate opportunities to extract full value on your data journey.