Henry Piney

speaker

238 appearances 2 recordings 1 series first heard Jun 2026 last heard 19 Jun

Henry Piney’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 2 in all, peaking in Jun 2026 with 2.

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Insights, Marketing & Data: Secrets of Success from Industry Leaders · BOUNCE - Charlie Butler (Co-CEO). Getting to the best decision at the right speed; Balancing data retrieval & fresh research; Why researchers still matter. · 19 Jun 2026 podcast

And I I guess I won't get into the detail of the company.

One of the companies I work with is is somebody I used to

work closely with who came in and became the chief data scientist and wasn't out of the research background out of the research world conventionally.

And he was like, Why on earth is it done like this?

And that's now the business he's he's set up is to is to reconcile everything.

Yeah, I I and even referring back to the example I was taking I I think Tom would probably say once he got involved in it, started doing it, it was more complex than he thought.

But he's continued to roll up his sleeves and solve it.

So, Charlie, we should probably back up a little bit though and let everybody know what bounce actually does.

And Charlie, what did you mean by making decisions with information that's good enough?

That wasn't exactly the phrase you used, but it was something along those lines.

I mean, is that suggesting that sometimes the uh

level of information can be overengineered by the traditional indust industry.

Yeah, yeah, definitely.

And do you have a particular area of specialization?

I mean, and the reason why I ask that is for instance like around sector, because I'd imagine different data sets, if we're looking at that kind of knowledge management piece of it, probably have different challenges.

You know, even something that we've talked about if it might be T V ratings as opposed to I don't know, beverage retail data probably have different considerations around them, I would imagine.

Sure.

Got it.

And also I I haven't seen the system actually in in action, but in terms of the user experience, I mean, is it a sort of LLM type of approach where you type in and go, I don't know, what can you tell me about females eighteen to twenty-four and their consumption?

Yeah, that makes a lot of sense to me.

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