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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.
Bridging Data and Product Management Practises and Patterns with Juha Korpela
Join Shane Gibson as he chats with Juha Korpela on how to adopt patterns and practises from Product Management and apply them to the data domain.
Innovation and disaster with Ron Westrum
Join Murray Robinson and Shane Gibson as they chat with Ron Westrum about how organisational culture drives innovation and disaster. We discuss generative, bureaucratic and pathological cultures, using real-world examples from NASA, Boeing and others. This episode highlights the importance of leadership integrity, openness, honesty, the free flow of information, and a mission-focused approach to achieving organisational goals. Listen for insights on identifying and promoting a generative culture, dealing with bad news, the role of technical maestros, and much more.
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 AgileData.io. 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.
Unmanaged with Jack Skeels
Join Murray Robinson and Shane Gibson as they chat with Jack Skeels about agile for digital and marketing agencies. Jack advocates for reducing the managerial overhead in organisations to promote productivity and improve communication. We discuss common hurdles in agile implementations. The value of a manager as a sports coach. The importance of scoping the work. Over managing and how real change must start from the top. This episode is full of practical advice and critical insights into organisation dynamics. This conversation is especially useful for those seeking to implement agile in a more holistic, efficient, and outcome oriented way in a service provider.
Patterns for being a successful internal data consultancy with Dylan Jones
Join Shane Gibson as he chats with Dylan Jones on how to adopt patterns used by successful data consultancies and apply them in your organisation as an internal data team.
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.
OKR’s with Adrian Howard
Join Murray Robinson and Shane Gibson as they discuss objectives and key results with Adrian Howard.
Adrian explains how OKR’s can be used as a strategic instrument for aligning goals within your organisation. We walk through common pitfalls and misconceptions emphasizing the importance of using OKR’s focused on outcomes rather than outputs. We discuss the potential for using OKR’s with vendors. The idea of paired metrics. And how OKR’s can serve as indicators of underlying problems within your organisations culture and structure.
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.
To whitelabel or not to whitelabel
Are you wrestling with the concept of whitelabelling your product? We at AgileData have been there. We discuss our journey through the decision-making process, where we grappled with the thought of our painstakingly crafted product being rebranded by another company.
Metadata-Driven Data Pipelines: The Secret Behind Data Magicians’ Greatest Tricks
Metadata-driven data pipelines are the secret behind seamless data flows, empowering data magicians to create adaptable, scalable, and evolving data management systems. Leveraging metadata, these pipelines are dynamic, flexible, and automated, allowing for easy handling of changing data sources, formats, and requirements without manual intervention.
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.
The Enchanting World of Data Modeling: Conceptual, Logical, and Physical Spells Unraveled
Data modeling is a crucial process that involves creating shared understanding of data and its relationships. The three primary data model patterns are conceptual, logical, and physical. The conceptual data model provides a high-level overview of the data landscape, the logical data model delves deeper into data structures and relationships, and the physical data model translates the logical model into a database-specific schema. Understanding and effectively using these data models is essential for business analysts and data analysts, create efficient, well-organised data ecosystems.
Shane Gibson – Making Data Modeling Accessible
TD:LR Early in 2023 I was lucky enough to talk to Joe Reis on the Joe Reis Show to discuss how to make data modeling more accessible, why the world's moved past traditional data modeling and more. Listen to the episode...
AgileData Cost Comparison
AgileData reduces the cost of your data team and your data platform.
In this article we provide examples of those costs savings.
Cloud Analytics Databases: The Magical Realm for Data
Cloud Analytics Databases provide flexible, high-performance, cost-effective, and secure solution for storing and analysing large amounts of data. These databases promote collaboration and offer various choices, such as Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics, each with its unique features and ecosystem integrations.
Data Warehouse Technology Essentials: The Magical Components Every Data Magician Needs
The key components of a successful data warehouse technology capability include data sources, data integration, data storage, metadata, data marts, data query and reporting tools, data warehouse management, and data security.
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...