Chad Barendse | Data & AI Governance @DataGoverned
Co-Founder DGXGroup — Australia's only pure-play Data & AI Governance consultancy. Organiser of the AI & Data Governance Summit 🇦🇺 Speaker. linkedin.com/in/chadbarendse Melbourne Joined April 2023-
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What do you think? Follow me for more practical takes on Data & AI Governance from the trenches.
Data governance failures are problem failures in disguise. When governance teams solve the real business problem, stakeholders start calling them instead of avoiding them.
The best data governance teams don't talk about governance. They talk about the problem in front of them. They show up as problem solvers first, not framework completers.
What do you think? Follow me for more practical takes on Data & AI Governance from the trenches.
Frameworks don't create buy-in. Solving something real does. Start with the pain point, not the playbook.
Most data governance programs fail not because the framework is wrong, but because they start with the framework. Maturity assessment, operating model, policies—then wonder why the business moved on 12 months later.
What do you think? Follow me for more practical takes on Data & AI Governance from the trenches.
Governance that sticks isn't measured by maturity scores or policy registers. It's measured by named problems solved for named people. Real outcomes matter more than frameworks.
Most governance programs fail because they're built around frameworks, not people. Maturity assessments, operating models, policies—all important. But if nobody asked for them, nobody uses them.
What do you think? Follow me for more practical takes on Data & AI Governance from the trenches.
The future of data governance looks nothing like the past 15 years. And after all that pain, that's actually good news.
We spent 15 years trying to make data governance work. It didn't. Not because the strategy was wrong, but because it was built entirely on manual effort—policies, spreadsheets, monthly meetings. The moment data moved faster than the people governing it, everything fell apart.
What do you think? Follow me for more practical takes on Data & AI Governance from the trenches.
Real progress happens when governance decisions get made without you in the room, new projects pull governance in early, and culture shifts. Each camp takes longer than expected. Resist the urge to summit immediately.
Implementing data governance feels like climbing Everest. Most organizations skip base camp and try to summit immediately. Here's what readiness actually looks like: knowing why it matters, getting senior sponsorship, and picking one data domain to focus on first.
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