Raw and unedited

Top 3 things:

1. Conference takeaways:
   Helsinki Data Week was nearly sold out. Juha said Big Data London felt less crowded than two years ago, with context, AI trust and governance, and data products prominent in the discussions.

2. The missing enterprise context layer:
   Catalogs focused on tables and metrics are too narrow. He envisaged a shared reference layer that helps agents find relevant data, documents, processes and APIs—but said he had not seen it working in production yet.

3. Making business meaning explicit:
   Definitions for the book and companion app, the distinction between a business glossary and a data dictionary, and why relationships such as “customer places order” and “customer cancels order” need their meaning captured.

https://agiledata.info/p/watch-now-recording-of-aura-juha-03f?utm_source=youtube

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.

Simply Magical Data Ways of Working