Blogs
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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.
Demystifying CDP’s vs. Data Warehouse’s
In this article we describe the concepts of Customer Data Platforms (CDP) versus Data Warehouses.
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...
Iterations create milestone dates, milestone dates force trade off decisions to be made
Data teams struggle to not “boil the ocean” when doing data work.
Use milestones as a pattern to help the data team to focus on what really needs to be built and manage the trade-off decisions for what doesn’t.
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.
Your data team are mercenaries, define your ways of working based on this
Modern data teams are transient, often staying less than 5 years, unlike past decades of long-term loyalty.
Companies should adapt by defining robust Ways of Working (WoW) that endure beyond individual tenures.
Balancing in-house teams with reliable data vendors for continuity and efficiency may also be a useful pattern as part of your WoW.
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
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
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 Magic of Serverless
Join Shane and Nigel as they discuss what serverless actually means, and the value of leveraging serverless components within your data platform.
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...
Data Layers, the magic of the right data in the right place
Join Shane and Nigel as they discuss what data layers and how we apply data layers as a core part of the AgileData.io Agile-Tecture.
AgileData refactoring
Join Shane and Nigel as they discuss what refactoring is and why you should always plan to refactor your data, code and platform from day one.
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,...
AgileData Patterns
Join Shane and Nigel as they discuss what agile data patterns are and how you can apply them to speed up the delivery of data to your stakeholders.
Reducing Manual Effort, Everywhere, Every-time
Some tasks seem really small and only take minutes, but multiply that effort by completing that task a hundred times and you have found a task that should be automated. Collect your data In AgileData we automate the...
Why assumptions are just that
When we first sketched out our plans for AgileData we were pretty clear what AgileData would do and what it wouldn’t do. Those assumptions didn’t last long. Combine with magic We knew we wanted to focus on what we call...
Micro Actions, ensuring a little bit of Magic Happens Here everytime
We are currently doing some work on creating rule patterns that enable us to automagically find duplicate Concept values and create a master view of them. For example creating a master view of Customers, or a master...
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...
What problem(s) does AgileData solve?
This should be an easy one for me to answer right? Understand the customers problem first We get told in startup land that you need to understand the customers problem in-depth, before you start building your product....
Flying the airplane while building it – Jan Sheppard
Join Shane and Blair as they chat with Jan Sheppard about the experience of building a new agile way of working while still ensuring you are delivering data and analytical value to your stakeholders.
Why we chose Google Cloud as the infrastructure platform for AgileData
Pick a few things that really matter, not thousands of “requirements” We when first started developing the core of the AgileData backend for the MVP, we knew we would need a cloud database to store...
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...
Leading agile data at scale – Chris La Grange
Join Shane and Blair as they chat with Chris La Grange about leading agile data teams in large organisations.
A DataOps and Data Science Journey
Join Shane as he chats to Hamish and Liam in a pub in the middle of the North Island about their journey to adopting a way of working that combines DataOps with Data Science.
Maturing product owner capability
Join Shane and Blair as they chat amongst themselves on maturing the product owner capability.
Prototype to Production – Gerhard DeBeer
Join Shane and Blair as they chat with Gerhard DeBeer on moving prototypes to production in an agile way.
Innovation iteration
Join Shane and Blair as they chat amongst themselves on their experience running innovation iterations.
The art of Business Agility – Andy Cooper
Join Shane and Blair as they chat to Andy Cooper on his experience working with senior executives to help them introduce Business Agility to their organisations.Guests Andy CooperBlair TemperoShane GibsonResources...
Tips for a New Scrum Master – Blair Tempero
Join Shane and Blair as they chat about tips for up skilling a new scrum masterGuests Blair TemperoShane GibsonResources Subscribe | Apple Podcast | Spotify | Google Podcast | Amazon Audible | TuneIn |...