IPA Podcast

The episode contains substantive ideas about data storytelling, decision-making quality, and curiosity, though much of it explores familiar frameworks (storytelling vs. analysis, the Socratic method, question-asking) that circulate widely in consulting and analytics circles. The specifics around the BHF campaign and AstraZeneca example provide concrete value, but lengthy passages on classical education and AI limitations veer into tangential discussion without novel operational insights per minute.

“the CFO and the CMO often do not speak the same language”

“between 90 and 95 percent of any um uh of the time spent on analysing data to inform decision-making is spent on cleansing the data and running a new analysis. And uh and about between five and ten percent, if you're lucky, is spent on how are we gonna tell that story”

The contrarian framing of presenting answers upfront (like Columbo/Pokerface vs. Agatha Christie/whodunit) is clever and relatively fresh for data storytelling discourse. However, core arguments - that storytelling matters more than dashboards, that curiosity is undervalued, that AI lacks humility - are well-established in business discourse. The five dimensions of decision quality are structured but not deeply counterintuitive.

“why don't you completely change the way that you have your commercial meetings... they are now all how catchums rather that rather than uh who done its”

“the information crisis is not a we haven't got enough data, it's that we're not curious enough or don't ask the right type of questions”

Sam Knowles is a credible practitioner: founder of InsightsAgence, published author on data strategy, active consultant with named blue-chip clients (AstraZeneca, British Heart Foundation), and host of an established podcast. He has real operating experience beyond pure thought leadership. However, he is primarily a consultant/trainer rather than a CEO or founder of a major commercial enterprise, which slightly limits his practitioner weight for a B2B operations audience.

“Sam is the founder and chief data storyteller at InsightsAgence”

“we ran three half-day workshops in cohorts of 20 in lots of different places”

The episode includes two concrete case studies (BHF Vinnie Jones campaign, AstraZeneca Insights team transformation) with enough detail to be instructive. However, many claims lack specifics: the Scott Berenato article is cited but not quantified beyond the 90-95% rule; Sylvie Delacroix and other references are namechecked without data; broader assertions about organizational silos, data tolerance, and AI limitations remain conceptual. The host pushes minimally for hard numbers or outcomes data.

“the proportion of the population that knew what to do, when, as Vinny says in the ad, some geezer collapses and has a heart attack in front of you, had fallen from a half to a third”

“they said, Well, it's got much better drum and bass combinations, just as well known. And it's Queen's Another One Bites the Dust”

The host (Simon/Molly) asks relatively open-ended, softball questions that allow Knowles to deliver long, prepared monologues without sharp pushback. There is minimal challenge to claims, no skeptical follow-ups on AI's actual limitations vs. optimistic assertions, and no probing on the scalability or ROI of the frameworks offered. The conversation flows conversationally but lacks the tension and specificity of rigorous journalistic or expert interviewing. A few light follow-ups exist but no genuine productive disagreement.

“Well, thanks so much for coming in today, Sam, to talk to us. Um really exciting episode.”

“Um, do you think that increasingly as well with it with the world of AI coming into things, have we fallen into a trap of asking dumb questions?”