AgileData Way of Working

Because sharing is caring

Introducing Hai, AgileData 2024 Data Intern

I’m Hai, a name that intriguingly means “hi” in English. Originally from Vietnam, I now find myself in Australia, studying Data Science and embracing an internship at This journey is not just about academic growth but also about applying my knowledge in practical, impactful ways. Join me as I explore the blend of technology and community, aiming to make a difference through data.

Defining self-service data
Defining self-service data

Everybody wants self service data, but what do they really mean when they say that.

If we gave them access to a set of highly nested JSON data, and say “help your self”, would that be what they expect?

Or do they expect self service to be able to get information without asking a person to get it for them.

Or are they expecting something in between.

I ask them which of the five simple self service patterns they want to find, which form of self service they are after.

There are 3 strategic / macro data use cases
There are 3 strategic / macro data use cases

I often ask which of these three macro data use cases the Organisations believed were its priorities to achieve their business strategy:

Providing data to Customers
Supporting Internal Processes
Providing data to External Organisations

Each of these three strategic / macro data use cases come with specific data architectures, data work and also impact the context of how you would design your agile data ways of working.

Building the Data Plane while flying it
Building the Data Plane while flying it

In the data domain you typically have to balance between building the right thing and building the thing right.

The days of being able to spend 6 months or a year on “Sprint Zero” creating your data platform have gone.

One team I worked with called it “building the airplane as you fly it”

Here are 5 patterns I have seen data teams adopt to help them do this.

Understanding Concepts, Details, and Events: The Fundamental Building Blocks of AgileData Design
Understanding Concepts, Details, and Events: The Fundamental Building Blocks of AgileData Design

Reducing the complexity and effort to manage data is at the core of what we do.  We love bringing magical UX to the data domain as we do this.

Every time we add a new capability or feature to the AgileData App or AgileData Platform, we think how could we just remove the need for a Data Magician to do that task at all?

That magic is not always possible in the first, or even the third iteration of those features.

Our AgileData App UX Capability Maturity Model helps us to keep that “magic sorting hat” goal at the top of our mind, every time we add a new thing.

This post outlines what that maturity model is and how we apply it.

AgileData App

Explore AgileData features, updates, and tips


Learn about consulting practises and good patterns for data focused consultancies


Learn from our DataOps expertise, covering essential concepts, patterns, and tools

Data and Analytics

Unlock the power of data and analytics with expert guidance

Google Cloud

Imparting knowledge on Google Cloud's capabilities and its role in data-driven workflows


Explore real-life stories of our challenges, and lessons learned

Product Management

Enrich your product management skills with practical patterns

What Is

Describing data and analytics concepts, terms, and technologies to enable better understanding


Valuable resources to support your growth in the agile, and data and analytics domains

AgileData Podcast

Discussing combining agile, product and data patterns.

No Nonsense Agile Podcast

Discussing agile and product ways of working.

App Videos

Explore videos to better understand the AgileData App's features and capabilities.

Subscribe to our newsletter

We will email you once a fortnight, no spam, pinky promise

Let me read it first