Research
Frameworks and methodologies developed from 15+ years of building and scaling data and AI capabilities in complex, regulated enterprises. These aren't theoretical models — they're codified patterns from operational experience at organisations like Westpac and Cochlear.
The Strategy-Execution Gap
Organisations spend millions on strategy development, then fail at execution. The standard explanations are incomplete. A diagnostic methodology for identifying execution failure patterns in organisational liminal spaces.
A Practitioner's Data Product Taxonomy
The term 'data product' has become meaninglessly broad. This taxonomy classifies data products by the organisational function they serve and the decision type they support — from operational datasets to strategic intelligence layers — giving teams a shared vocabulary for portfolio planning and investment decisions.
Defensive and Offensive Data Strategy
Organisations tend to over-index on either defensive data management (governance, compliance, quality) or offensive data exploitation (analytics, AI, monetisation) — rarely both. This framework provides a diagnostic for assessing your current balance and a sequencing model for building both capabilities without paralysing either.