As a BI Practitioner
I want to understand what an AgileBI team is and isn’t
So that I know how to form and storm one

Building a self organising team is one of the key factors required to deliver in an AgileBI way.

Creating a team with T-Skills and helping them through the process of forming, storming and norming is a mssive challenge.

The articles below provide more details on how to achieve this.

Other Articles from this category

The Big Guess Up Front (BGUF)

The way we used to deliver Business Intelligence projects was to do what I call the “big guess up front” (BGUF). No more!

Boil boil toil and trouble – 3 Data Mining recipes

As part of the work we are doing to develop our one-day workshop titled 'from data analyst to data scientist', we have been researching the CRISP-DM methodology as it's a core part of one of the workshop modules. There are three main data mining methodologies that are...

AWS – Remember to check your Region

We play with a lot of the new stuff in AWS when it comes out to see what it does, how it works and to think about how we can incorporate it into what we do to remove manual effort. Every now and again we see a feature documented and for some reason can't seem to find...

Retrospective – No Meetings

As I outlined in my earlier blog AgileBI fundamentally changes the team’s traditional view of meetings. It’s interesting watching how new teams adapt to this change. An example from one of the teams I worked with recently is …

3 Free Things

I was talking to somebody recently who had been dropped into the deep end in the world of Business Intelligence (so to speak) at their organisation and wanted to know what was required to be able to deliver information and some advanced analytical models. I was...

Agile Data Engineering – Hyper Adoption

Ralph Hughes covers extensively in his book the concept of delivering Agile Data Engineering using Hyper Normalisation and Hyper Generalisation modelling techniques.