
Raw and unedited
Top 3 things:
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Evaluating new technology:
Shane and Tim discussed starting with a real use case, making small bets, checking risk tolerance, and planning how to replace a tool if its vendor changes course. -
Classification with Jive/Jev:
Tim described using Gemini to extract image metadata, then Jive/Jev to make structured classification decisions at scale. -
Where data and BI are heading:
They covered the OSI metrics standard, DuckDB and MotherDuck, and whether simpler, “disposable” BI apps will take off.
https://agiledata.info/p/watch-now-recording-of-aura-tim-frazer-384?utm_source=youtube
<-OO->
Information Product Canvas Workshop
“That’s not what I wanted.”
“But that’s what you asked for.”
Shane runs a one-day workshop on the Information Product Canvas, a repeatable way to gather data requirements in 30 minutes. The approach he actually uses with his stakeholders, not a textbook version that falls apart on contact with messy data and vague stakeholder requirements.
Latest dates: Gather data requirements in 30 minutes using a shared language.

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