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Amazons product development process with Ryan Lysne
Join hosts Murray Robinson and Shane Gibson as they sit down with special guest Ryan Lysne, a Product Director at Amazon, responsible for the Amazon app, the content creator economy, and worldwide events. In this episode: We examine the inner workings of Amazon's...
From the Wild West to Agile and Beyond with Jim Highsmith
Join Murray Robinson and Shane Gibson as they chat with Jim Highsmith, one of the authors of the Agile Manifesto. Take a journey through the history of software development, from the wild west to structured methods and the emergence of the agile movement.
Working with executives with Peter Lam
Join Murray Robinson and Shane Gibson as they discuss the nuances of agile transformations with management consultant expert, Peter Lam. We delve deep into: 🔹 The value and effectiveness of consulting playbooks🔹 The ongoing debate around centralised agile approaches...
Can you be an agile project manager with Jem Jelly
Join Murray Robinson and Shane Gibson as they delve into a comprehensive discussion on agile project management with certified scrum trainer, Jem ‘Jelly’ D’jalel.
Modern Product Management with Pawel Huryn
Join Murray Robinson and Shane Gibson as they chat with Pawel Huryn about product management. What it is, and isn’t? How to motivate teams and what makes a product succeed. We discuss the difference between product management, which focuses on discovery and project management, which focuses on delivery. And how to do both at the same time in one empowered product team. We talk about how you can become a product manager and the best product management tools to use. Join us as we uncover valuable insights to help you succeed in this critical role.
Data Consulting Patterns with Joe Reis
Dive into the world of data consulting with Shane Gibson and Joe Reis on the Agile Data Podcast. Explore their journey from traditional employment to successful data consulting, covering client acquisition, business models, financial management, reputation, sales strategies, employee management, and work-life balance.
What really happened at Spotify with Brendan Marsh
Join Murray Robinson and Shane Gibson as they converse with Brendan Marsh about his experience working at Spotify. Understand how Spotify's agile methodologies aim to achieve speed to market and learning, which their leaders believe are crucial competitive advantages...
Scrum Anti Patterns with Stefan Wolpers
Join Murray Robinson and Shane Gibson as they chat with Stefan Wolpers about scrum anti-patterns. Explore common anti-patterns, such as scrum masters assigning tasks to disempowered teams, and discover the solutions for overcoming these challenges. Key points of...
Fundamentals of product management with Roman Pichler
Join Murray Robinson and Shane Gibson as they delve into the fundamentals of product management with Roman Pichler, renowned author of 'Agile Product Management with Scrum'. Topics we'll explore in this conversation include: 🔸 The role and responsibilities of a...
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.
Analysts can model democratising data modeling
In 2022 Shane Gibson was lucky enough to present “Analysts can model democratising data modeling” at the Knowledge Gap Conference
Watch the presentation.
Data Mesh Podcast – Finding useful and repeatable patterns for data
TD:LR I talk to Scott Hirleman on the Data Mesh Radio podcast on my thoughts on Data Mesh and the need for resuable patterns in the data & analytics domain. My opinion on Data Mesh I am not a fan of the current...
The Enchanting World of Data Magicians: Marketing Analytics vs. Product Analytics
Marketing Analytics involves analysing data from various channels, such as social media, email, and websites, to assess the performance of marketing efforts.
Product Analytics focuses on understanding and improving user experience and satisfaction with digital products or services.
What is Data Lineage?
TD:LR AgileData mission is to reduce the complexity of managing data. In the modern data world there are many capability categories, each with their own specialised terms, technologies and three letter acronyms. We...
Data Mesh 4.0.4
TD:LR Data Mesh 4.0.4 is only available for a very short time. please ensure you scroll to the bottom of the article to understand the temporal nature of the Data Mesh 4.0.4 approach.This article was published on 1st...
Abracadabra! Unravel the Mysteries of Data Catalog
Data catalogs are comprehensive inventories of an organisations data assets, helping data analysts and information consumers to quickly find, understand, and utilise relevant information. They foster collaboration, maintain data governance, and ensure compliance.
Catalog & Cocktails Podcast – agile in the data domain
Early in 2022 Shane Gibson was lucky enought to talk to the Catalog and Cocktails podcast crew about agile in the data domain. Watch or listen to the episode.
Whats the hottest new data thing in 2022 — Data Mesh or Metric Store
There is a lot of vendor washing going on A lot of data vendors are vendor washing their technologies to pretend they enable "Data Mesh" as they are punting on Data Mesh being the new thing for 2022. I think they are...
Data Observability Uncovered: A Magical Lens for Data Magicians
Data observability provides comprehensive visibility into the health, quality, and reliability of your data ecosystem. It dives deeper than traditional monitoring, examining the actual data flowing through your pipelines. With tools like data lineage tracking, data quality metrics, and anomaly detection, data observability helps data magicians quickly detect and diagnose issues, ensuring accurate, reliable data-driven decisions.
AgileData >>> Modern Data Stack
TD:LR AgileData's mission is to reduce the complexity of managing data. A large part of modern data complexity is selecting, implementing and maintaining a raft of different technologies to provide your "Modern Data...
A selection of practical agile patterns when using Data Vault
In 2021 Shane Gibson was lucky enough to present “A selection of practical agile patterns when using Data Vault” at the Knowledge Gap Conference
Agile DataOps
TD:LR Agile DataOps is where we combine the processes and technologies from DataOps with a new agile way of working, to reduce the time taken and increase the value of the data we provide to our customers What's in a...
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
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,...
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....
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...