1. BI 2017 will be an epic fail
Timo posted a great (tongue in cheek) blog about all the things that will go wrong in the world of BI next year. The scary thing is most of them probably happened in 2016
Predictions: A Cynic’s Guide to BI in 2017
2. Agile Metrics
It always amazes me how every new AgileBI team I coach matures at a different rate and in a different way. I have never got around to figuring out how to measure the differences, relying on gut feel to determine where a team is at.
Great blog posted here by Stefan Wolpers on some metrics you can use to see how your AgileBI team are going.
Agile Metrics—The Good, the Bad, and the Ugly
3. Agile Data Queries
My focus for AgileBI is all about Concepts > Processes > Templates > Automation. The changes in BI technology these days is astounding and it makes it very hard to keep up with the options for automation (the ability to effectively and safely remove human effort and reduce latency).
AWS announced Athena at RE:Invent which provides interesting options for automating the persistent staging (dare I say data lake) layer in my Modern Data Warehouse architecture.
Mark Litwintschik did a great article on some tests he ran that shows its potential power.
1.1 Billion Taxi Rides on Amazon Athena
When the team have time I am nagging them to add new cool features to ODE, our open source data vault automation engine at ode.ninja.
Most of my time is actually spent teaching and coaching customers how to deliver using AgileBI as part of the Optimal Orange team.
We run regular Agile courses with a business intelligence slant in both Wellington and Auckland, you can learn more about these here.