Blogs

Because sharing is caring

5 core Data Collection Patterns

At AgileData, delivering our Fractional Data Service has revealed the diverse challenges of integrating data from varied organisations, industries, and systems. To scale effectively, we’ve adopted five core data collection patterns based on our “Define it Once, Reuse it Often” (DORO) principle:

1. Push
2. Pull
3. Stream
4. Share
5. File Drop

These patterns are supported by a toolkit of tested technologies like Dataddo, Meltano, and Google services, allowing us to solve new data challenges quickly. Our approach ensures flexibility and scalability, always starting with the question: Push, Pull, Stream, Share, or File Drop?

Mobius loop with Gabrielle Benefield
Mobius loop with Gabrielle Benefield

In this episode, we talked with with Gabrielle Benefield, the inventor of the Mobius loop, an outcome focused product development framework.  Gabrielle shares her journey in agile product development from Silicon valley to Yahoo.  And the importance of focusing on outcomes of outputs and improving decision speed. We discuss why organisations don’t focus on outcomes, the problem with contracts and scaling an outcome based approach. And finally, we talk about how you can use an experimental approach to bring an outcome driven, focus to your organisation.

The magic of DocOps
The magic of DocOps

TD:LR Patterns like DocOps provide massive value by increasing collaboration across team members and automating manual tasks. But it still requires a high level of technical skills to work in a DocOps way.  For the AgileData App and Platform, we want to delvier those...

Sprint Goals with Maarten Dalmijn
Sprint Goals with Maarten Dalmijn

In this episode, Murray Robinson chats with Maarten Dalmijn about Sprint Goals. We discuss how sprint goals should act as a primary mission for a sprint, around which everyone’s tasks should revolve, rather than focusing on individual deliverables. We talk about challenges to implementing this approach, the importance of measuring outcomes over output, and the need for competency and trust in the team. This conversation highlights the importance open dialogue with stakeholders, and the necessity of adaptability in the face of uncertainty.

I’m getting pedantic about semantics
I’m getting pedantic about semantics

TD:LR Having a shared language is important to help a data team create their shared ways of working. When we talk about self-service, we should always highlight which self-service pattern we are talking about.I'm getting pedantic about semantics. In the Data Domain we...

The Art of Data: Visualisation vs Storytelling
The Art of Data: Visualisation vs Storytelling

Data visualization is like painting with data, using charts and graphs to make trends and patterns easy to understand. It’s great for presenting data objectively.

Data storytelling weaves a narrative around data, adding context, engaging emotions, and inspiring action. It’s perfect for persuading stakeholders.

Ways of Working with Scott Ambler
Ways of Working with Scott Ambler

Join Shane Gibson on the Agile Data Podcast for an enlightening conversation with Scott Ambler, an IT and Agile expert. Delve into Scott’s journey from pioneering programmer to data architecture and Agile methodologies. Discover the evolution of Agile data, the importance of adapting ways of working, and the pitfalls of best practices. Learn valuable insights into continuous improvement, team dynamics, and the complexities of data quality in today’s fast-paced IT landscape. Don’t miss this episode for an in-depth exploration of Agile data and its impact on IT projects and processes.

AgileData App

Explore AgileData features, updates, and tips

Network

Learn about consulting practises and good patterns for data focused consultancies

DataOps

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

Journey

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

Resources

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.

The “Killer” Feature
The “Killer” Feature

One feature to rule them all As product managers we are always looking for the next “killer feature” for our product. You know the one, that feature that will become the magical thing that will have customers flooding...

3 types of product features
3 types of product features

Our UX/UI journey is accelerating We are currently full steam into the development of the initial User Interface for AgileData.io. The team have done some awesome work on the UX designs for a bunch of the core screens,...

Buy, Build or Lease
Buy, Build or Lease

One of the (many) things we needed to decide when we started to build out the AgileData Minimal Magical Product (MMP), was which capabilities we would build vs which capabilities we would lease or buy. As part of our...

Why we founded AgileData
Why we founded AgileData

My co-founder Nigel and I have been working in the data and analytics domain for over 30 years (well I have, he is slightly younger). We have both held multiple roles through these years, Nigel primarily in the...