Top 3 things:
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.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.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.
Thank you to everyone who tuned into our latest AURA Ask Us Anything live session.
Got a Question you want to ask and have answered in the next AURA session, leave a comment and we got you!
Information Product Canvas Workshop
“That’s not what I wanted.”
“But that’s what you asked for.”
Shane runs a 6 hour workshop on the Information Product Canvas, a repeatable way to gather data requirements in 30 minutes. The approach he actually uses with stakeholders, not a textbook version that falls apart on contact with messy data and vague requirements.
He runs it regularly.
Latest dates : Gather data requirements in 30 minutes using a shared language
Workshop details : https://maven.com/agiledataguides/info-prod
