Raw and unedited

Top 3 things:

1. How to evaluate new tools:
   Chris described a three-part approach: check whether a tool solves a real pain point, whether it has a community, and what a time-boxed trial reveals. He used Databricks serverless micro apps as an example of something worth revisiting later, rather than adopting now.
   
   
2. How to reduce vendor and migration risk:
   We discussed keeping business logic and context outside execution platforms, retaining access to data, and testing a fallback plan—not just assuming a migration will work.
   
   

3. AI-generated dashboards and their consequences:
   Faster creation could multiply duplicate reports. We discussed finding existing reports before making new ones, as well as the adoption, governance, and security challenges of switching BI tools.

https://agiledata.info/p/watch-now-recording-of-aura-chris-0f0?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