Data governance
Operating models, ownership, stewardship, decision rights and controls that work in practice.
AUSTRALIA · INDEPENDENT SPECIALISTFOUNDER DATA MANAGEMENT SPECIALIST
More than 30 years in IT and more than 25 years working through complex delivery environments have taught me one durable lesson: technology creates value only when the business can trust the information, ownership and decisions behind it.
My roles have included Data Governance Manager, Data Migration Manager, Data Architect and Enterprise Information and Master Data specialist. That experience spans regulated and operational environments including financial services, health, government, utilities, education, property, technology and consumer businesses.
AI DATA FOR YOU packages that enterprise experience into two connected streams for growing organisations: make the necessary data trustworthy, then improve one real process, see what AI could practically do and prove whether it creates value — always with human accountability and proportionate controls.
The work connects architecture and quality with the people, controls and economics that determine whether improvement lasts.
Operating models, ownership, stewardship, decision rights and controls that work in practice.
Profiling, mapping, cleansing, reconciliation, cutover evidence and data-risk reduction.
Clear structures and flows across operational, analytical and external data.
Customer, product, supplier, asset and other shared records the organisation must trust.
A business use case, fit-for-purpose evidence, human control and measurable operating proof.
Current and future process analysis, practical AI functions, data dependencies and controlled pilot design.
Do not buy technology before the business problem and owner are clear.
Fit-for-purpose evidence is safer and more useful than collecting everything.
Separate assumptions from realised benefit and preserve the baseline.
AI supports judgement; it does not silently inherit authority.