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#AgileDataDiscover weekly wrap No.2
We discuss the ongoing development of a new product idea, emphasising feasibility and viability through internal research (“McSpikeys”). Initial tests using LLMs have been promising, but strategic decisions lie ahead regarding its integration. The team grapples with market validation and adjusting their workflow for optimal experimentation.
The Dojo with Joel Tosi and Dion Stewart
Join Murray Robinson and Shane Gibson as they chat with Joel Tosi and Dion Stewart about Dojo’s.
Dojo’s are a six week immersive learning experience where teams learn and practice new ways of working on real work with skilled coaches. We discuss the structure and implementation of Dojos, chartering, coaching dynamics, and frequent feedback loops. We emphasize the challenges and anti-patterns that can emerge, such as treating Dojos as bootcamps or lacking stakeholder support. Finally, Joel and Dion offer insights into the future of Dojos and their potential for building capability and driving organisation change.
#AgileDataDiscover weekly wrap No.1
We are tackling challenges in migrating legacy data platforms by automating data discovery and migration to reduce costs significantly. Our approach includes using core data patterns and employing tools like Google Gemini for comparative analysis. The aim is to streamline data handling and enable collaborative governance in organisations. Follow their public build journey for updates.
We are working on something new at AgileData, follow us as we build it in public
The AgileData team is dedicating 30 days to exploring a novel data use case, which might lead to a new product, feature set, or module. They’ll document their daily progress publicly to share learnings and insights. Follow their journey on their blog for updates as they build and experiment in real-time.
Product Management with John Cutler
Join Murray Robinson and Shane Gibson as they discuss product management with John Cutler, famous for his newsletter The Beautiful Mess.
We dive into the purpose of product management as a driver of profitable growth. And we discuss how to use the north star framework to align your organisation around common goals. We examine how to use product roadmaps to communicate and prioritize plans and discuss how critical it is to be an open, honest, and effective leader. And finally we look at whether agile is critical or useless in product management. Join us as we uncover the insights and best practices product managers need to be more effective.
UX Research with Nick Fine
Join Murray Robinson and Shane Gibson as they discuss UX research with Dr. Nick Fine. Nick explains what to expect from a UX researcher, how to do user research well, and the challenges that researchers have to overcome to obtain valid results. Whether you’re a product manager, designer, or developer this episode is packed with actionable insights, real world examples and expert tips to enhance your understanding of UX research and its role in creating high value, digital products and services.
The Vanguard Method with Ibrar Hussain
Join Murray Robinson and Shane Gibson as they discuss the Vanguard method with Ibbi Hussain, one of the founding architects of this revolutionary approach to organisation change. Ibi describes how the Vanguard method uses systems thinking, service design, and occupational psychology to make profound improvements to call center performance. Join us as we navigate through the philosophy of change, the importance of leadership. And practical insights into implementing sustainable improvement within organisations.
Episode 100 – A retrospective
Welcome to our 100th episode.
In this episode, we talk about what we’ve learnt from our guests about agile, product development and leadership. We discuss what the podcast is about and why we started it. We unpack our critical take on fake agile and discuss agile leadership and product development. Join us as we take a deep dive into the insights, experiences and conversations that have shaped our podcast ovr the last 99 episodes. And here’s to another hundred episodes of cutting through the nonsense and bringing you the advice you need to succeed.
Business Agility with Evan Leybourn
Join Murray Robinson and Shane Gibson as they chat with Evan Leybourn from the Business Agility Institute about business agility. We discuss how to define and measure business agility, examples of agile organisations, and the struggle with traditional bureaucratic models. We delve into the different types of leadership, the nature of internal cultural and political changes, and the challenges faced by organisations in adopting and implementing agility.
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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.
Unveiling the Definition of Data Warehouses: Looking into Bill Inmon’s Magicians Top Hat
In a nutshell, a data warehouse, as defined by Bill Inmon, is a subject-oriented, integrated, time-variant, and non-volatile collection of data that supports decision-making processes. It helps data magicians, like business and data analysts, make better-informed decisions, save time, enhance collaboration, and improve business intelligence. To choose the right data warehouse technology, consider your data needs, budget, compatibility with existing tools, scalability, and real-world user experiences.
Martech – The Technologies Behind the Marketing Analytics Stack: A Guide for Data Magicians
Explore the MarTech stack based on two different patterns: marketing application and data platform. The marketing application pattern focuses on tools for content management, email marketing, CRM, social media, and more, while the data platform pattern emphasises data collection, integration, storage, analytics, and advanced technologies. By understanding both perspectives, you can build a comprehensive martech stack that efficiently integrates marketing efforts and harnesses the power of data to drive better results.
Anatomy of a Data Product
A graphical overview of the components required for a Data Product
Unveiling the Magic of Data Clean Rooms: Your Data Privacy Magicians
Data clean rooms are secure environments that enable organisations to process, analyse, and share sensitive data while maintaining privacy and security. They use data anonymization, access control, data usage policies, security measures, and auditing to ensure compliance with privacy regulations, making them indispensable for industries like healthcare, finance, and marketing.
Data Lineage Patterns with Tomas Kratky
In this episode of the AgileData Podcast, Shane Gibson has an insightful discussion with Tomas Kratky on the evolution and importance of data lineage, especially in large enterprises. Tomas Kratky, a traditional software engineer turned data enthusiast, shared his journey to founding Manta, a company focused on data lineage. The conversation highlighted the significance of data lineage, not just as an end in itself, but as a powerful tool for unlocking potential in large enterprises, enhancing visibility, and fostering agility.
Free Google Analytics 4 (GA4) online courses
TD:LR There is some great free course content to help you upskill in Google Analytics 4 (GA4) Here are the ones we recomend.Discover the Next Generation of Google Analytics Find out how the latest generation of Google...
Observability – Raj Joseph
Join Shane Gibson as he chats with Raj Joseph on his experience in defining data observability patterns.Guests Raj JosephShane GibsonResourcesSubscribe | Apple Podcast | Spotify | Google Podcast | Amazon Audible |...
5E’s
As Data Consultants your customers are buying and outcome based on one of these patterns – effort, expertise, experience or efficiency.
We outline what each of these are, how they are different to each other and how to charge for delivering them.
Conceptually Modeling Concepts, Details and Events in AgileData
Join Shane and Nigel as they discuss how and why we define a conceptual model of Concepts, Details and Events in AgileData and how we map these to a physical Data Vault model.
Agile-tecture Information Factory
Defining a Data Architecture is a key pattern when working in the data domain.
Its always tempting to boil the ocean when defining yours, don’t!
And once you have defined your data architecture, find a way to articulate and share it with simplicity.
Here is how we articulate the AgileData Data Agile-tecture.
Data Architecture as a Service (DAaaS)
TD:LR Data Architecture as a Service (DAaaS), is it Buzzwashing or not? As is often the case, it depends on your point of view. Our point of view? Nope its a real thing.
Myth: using the cloud for your data warehouse is expensive
TD:LR Cloud Data Platforms promise you the magic of storing your data and unlimited elastic compute for cents. Is it too good to be true? Yes AND No. You can run a cloud platform for a low low cost, but its will take...
Agile and Product – Justin Bauer
Join Shane Gibson as he chats with Justin Bauer on his experience combining the worlds of agile and product in a data driven company.Guests Justin BauerShane GibsonResourcesSubscribe | Apple Podcast | Spotify | Google...
AgileData WoW Q&A – Hamish Gray and May-Lyn Hu
Join Shane Gibson, Hamish Gray and May-Lyn Hu as they talk through some of the experiences they have had in their organisation applying agile and data together in a new way of working.Guests Hamish Gray May-Lyn Hu...
Observability, Tick
TD:LR Data observability is not something new, its a set of features every data platform should have to get the data jobs done. Observability is crucial as you scale Observability is very on trend right now. It feels...
DataOps: The Magic Wand for Data Magicians
DataOps is a magical approach to data management, combining Agile, DevOps, and Lean Manufacturing principles. It fosters collaboration, agility, automation, continuous integration and delivery, and quality control. This empowers data magicians like you to work more efficiently, adapt to changing business requirements, and deliver high-quality, data-driven insights with confidence.
The language of data is not so natural
TD:LR The dream is we can just point the machine at our data, ask our question and get a useful answer. With ChatGPT we are closer than we have ever been, but we are not there yet,When Nigel and I first started...
Build Data Products Without A Data Team Using AgileData
TD:LR Late in 2022 I was lucky enough to talk to Tobias Macey on the Data Engineering podcast about our AgileData SaaS product and our focus on enabling analysts to do the data work without having to rely on a team of...
How To Bring Agile Practices To Your Data Projects
TD:LR Late in 2022 I was lucky enough to talk to Tobias Macey on the Data Engineering podcast about combining agile patterns and practises with those from the data domain. Listen to the episode or read the transcript....
Using the Information Product Canvas with Tammy Leahy
Join Shane and Tammy Leahy as they discuss the Information Product Canvas, what each area of the canvas holds and why you would want to collect this information.
This is the second in a series of podcast episodes that deep dives into the Information Product pattern.
Analytical team topologies – Ashwin Kamath
Join Shane and guest Ashwin Kamath as they discuss his experience working with analytical teams and analytical team topologies.