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In this episode of Knowledge Distillation, Katrin Ribant talks with Tim Wilson – one of the most respected voices in digital analytics, widely known as the Quintessential Analyst (a title he’ll deny but absolutely deserves) and equally famous for climbing on a soapbox and delivering the kind of rants that somehow leave you smarter when he’s done. Tim has been working with digital data full-time since 2001, holding senior analytics roles at Search Discovery, Analytics Demystified, and across multiple agencies and Fortune 500 consultancies, and is widely known for his no-nonsense, clarity-first approach to getting business value out of data – earning him a reputation as one of the industry’s most beloved (and self-admittedly cranky) analytical thinkers.
Continuing the agentic e-commerce series, this episode goes upstream: before you instrument, before you build the data layer, how do you decide what to measure? Tim draws on over two decades of experience to argue that the agentic commerce shift – comparable in scale to mobile, Amazon, and GA4 combined – demands business clarity first, not more data collection. Together they explore why organizations keep repeating the same measurement mistakes across every technology disruption, how to use hypothesis testing and primary research to cut through the hype, and why the analyst’s real superpower is resisting the urge to solution before the business question is clear. The conversation also dives into the evolving skills analysts need now, from understanding LLMs to prompt and context engineering as the new SQL.
All episodes on our website: www.ask-y.ai/knowledge-distillation-podcast
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