Insights
Long-form thinking on
data, AI, and the public sector.
Essays on decision-grade data foundations, responsible AI, governance, and the practical work of turning evidence into better services.
Data intelligence is the next step beyond business intelligence
Traditional BI explains what happened. Data intelligence helps organisations understand what is happening now, what may happen next, and where action is required.
How to move from AI curiosity to AI capability
AI adoption works best when it starts with a clear business problem, trusted data, practical pilots, capable teams and measurable outcomes.
AI needs data strategy more than hype
AI does not remove the need for data strategy. It makes data strategy more important, because poor-quality, fragmented or poorly governed data will produce unreliable AI outcomes.
ESG reporting is becoming a data strategy problem
ESG reporting depends on trusted, governed, traceable and well-managed data. Without a data strategy, ESG reporting becomes manual, inconsistent and difficult to defend.
Why data maturity matters before investing in analytics and AI
A data maturity assessment helps organisations understand whether their strategy, governance, people, platforms and processes are ready to support better decision-making.
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