Blog
Practical notes on data and AI
What we’ve learned joining up business data, putting AI on top of it and building dashboards people open. Drawn from client work and our own live demo.
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Dashboards people actually use: data visualisation that leads to decisions
Most dashboards fade after launch because they don’t answer anyone’s question. Practical data visualisation best practice for dashboards that drive decisions.
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Semantic data foundations for AI: what to build before you plug in a model
AI tools answer business questions well only when the data underneath says what it means. Five semantic-layer changes that doubled our AI’s right answers.
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Data wrangling today: what’s changed, and what still takes the work
Connectors and warehouses have made moving data easy. Matching customers, agreeing definitions and testing outputs still take real work. Here’s how we do it.