AgileData Newsletter #15
Agile Data Governance Patterns
In 2022 our Shane Gibson joined The Focus podcast to talk about Data Governance in the AgileData world.
Have a listen, watch or read the discussion.
Read more @ AgileData.io
Creating Rules - Concepts and Details
Once we have designed the core Concepts for our organisation (Customer, Employee, Supplier, Product, Order, Payment etc) we then need to populate them with data to make them valuable and consumable.
In AgileData we do that by creating Change Rules.
Watch how we create Change Rules to populate Concept and Detail Tiles.
Still a lot of work to make this UI magical.
Watch @ YouTube
Scaling Agile Teams
Scaling data teams is hard.
There are many agile scaling patterns you can experiment to scale your teams and the way they work, from the so called "Spotify Model" to Unfix, Less, Nexus, Scrum of Scrum etc.
There are data focussed hybrids of this such as DV 2.0, DataOps and Data Mesh.
In this podcast we talk to Tammy Leahy about her experience experimenting with these patterns to scale the data teams she leads.
Listen to the AgileData podcast or read the transcript @ AgileData.io
Agile Data Gathering Requirements
Capturing data requirements is hard.
You might capture requirements taking a data driven approach or a report driven approach.
We recommend an approach based on core business events.
Read more @ AgileData WoW
Outcome-Driven Innovation
The concept of jobs to be done helps us focus on the outcome a customer wants to achieve, not the tasks they want to do to achieve it.
As Tony mentions we buy a drill because we want a hole not because we want a drill.
Nespresso focussed on the fact that we wanted a coffee not that we wanted a better Jug/Kettle.
We can apply this thinking to our data and analytics work and focus on the action and outcome our information consumers want to take.