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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.

Attribution Model Patterns with Yorgos Moschovis
Attribution Model Patterns with Yorgos Moschovis

Explore the intricacies of marketing attribution with Yorgos Moschovis on the Agile Data Podcast. Dive into the complexities of tracking customer behavior across various channels and the challenges of connecting online and offline data. Learn about Yorgos’s journey from the Office of the Auditor General to a leader in data analytics, navigating through companies like Spark New Zealand and Silicon Graphics. Understand the evolution of attribution modeling, from basic first and last touch to sophisticated, multi-touch approaches. Discover the impact of third-party cookie demise on tracking and the emergence of identity management solutions. Gain insights into how different industries, like retail and insurance, approach customer journey mapping and the significance of continuous touches versus deeper histories. Hear Yorgos’s perspective on the diminishing role of static demographics in favor of digital behavior analysis. The conversation also delves into operational improvements through actionable insights, emphasising real-world applications and AB testing over theoretical model complexities.

AgileData Newsletter #37
AgileData Newsletter #37

The Hitchhikers Guide to the Information Product Canvas
Information Product Canvas – Google Slide Template
How Can Data Teams use Generative AI with Shaun McGirr
Roman Pichler – Product Management
AgileData App Colours of the Catalog
Pulp Data Fiction

Building a vibrant community with Scott Hirleman
Building a vibrant community with Scott Hirleman

Explore the art of building vibrant communities with Scott Hirleman on the Agile Data Podcast. Uncover key insights into community growth, operational strategies, and sustainability. Discover how Scott transitioned from a stock market enthusiast to a community management expert, specifically in tech and data spaces. Learn about the rapid expansion of the Data Mesh Learning Community, the importance of engaging members, and the role of timely content and responses. Delve into the operational nuances of community building, including automated onboarding, managing different fluency levels, and establishing community vibes. Understand the critical need for investment, sustainability, and how to overcome founder dependence. Gain insights into ideal team structures for community management and the significance of adaptability and realism in community growth. These comprehensive strategies and experiences offer valuable lessons for anyone looking to nurture and grow a successful community in the tech and data sectors.

AgileData Newsletter #36
AgileData Newsletter #36

The Challenge of Parsing Files from the Wild
An AgileData Guide to Information Product Canvas
The Patterns of Activity Schema with Ahmed Elsamadisi
Pawel Huyrn – Product Management
Natural Language Rules Output
Latest AgileData Magician Guides
Designed in NZ

Unveiling the Magic of Change Data Collection Patterns: Exploring Full Snapshot, Delta, CDC, and Event-Based Approaches
Unveiling the Magic of Change Data Collection Patterns: Exploring Full Snapshot, Delta, CDC, and Event-Based Approaches

Change data collection patterns are like magical lenses that allow you to track data changes. The full snapshot pattern captures complete data at specific intervals for historical analysis. The delta pattern records only changes between snapshots to save storage. CDC captures real-time changes for data integration and synchronization. The event-based pattern tracks data changes triggered by specific events. Each pattern has unique benefits and use cases. Choose the right approach based on your data needs and become a data magician who stays up-to-date with real-time data insights!

Layered Data Architectures with Veronika Durgin
Layered Data Architectures with Veronika Durgin

Dive into the Agile Data Podcast with Shane Gibson and Veronika Durgin as they explore the intricacies of layered data architecture, data vault modeling, and the evolution of data management. Discover key insights on balancing data democratisation with governance, the role of ETL processes, and the impact of organisational structure on data strategy.

AgileData Newsletter #35
AgileData Newsletter #35

Magical Plumbing for Effective Change Dates
Common Team Design Patterns
The Patterns of Data Vault with Hans Hultgren
Pawel Huyrn – Product Management
Custom Sync
Latest AgileData Magician Guides
ADI

How can data teams use Generative AI with Shaun McGirr
How can data teams use Generative AI with Shaun McGirr

Discover the transformative impact of generative AI and large language models (LMS) in the world of data and analytics. This insightful podcast episode with Shane Gibson and Shaun McGirr delves into the evolution of data handling, from manual processes to advanced AI-driven automation. Uncover the vital role of AI in enhancing decision-making, business processes, and data democratization. Learn about the delicate balance between AI automation and human insight, the risks of over-reliance on AI, and the future of AI in data analytics. As the landscape of data analytics evolves rapidly, this episode is a must-listen for professionals seeking to adapt and thrive in an AI-driven future. Stay ahead of the curve in understanding how AI is reshaping the role of data professionals and transforming business strategies.

AgileData Newsletter #34
AgileData Newsletter #34

To white label or to not white label
Concept of Team Design
Data Consulting Patterns with Joe Reis
Willem Jan Ageling – Agile Project Management and Leadership
Data Versioning

The Magic of Customer Segmentation: Unlocking Personalised Experiences for Customers
The Magic of Customer Segmentation: Unlocking Personalised Experiences for Customers

Customer segmentation is the magical process of dividing your customers into distinct groups based on their characteristics, preferences, and needs. By understanding these segments, you can tailor your marketing strategies, optimize resource allocation, and maximize customer lifetime value. To unleash your customer segmentation magic, define your objectives, gather and analyze relevant data, identify key criteria, create distinct segments, profile each segment, tailor your strategies, and continuously evaluate and refine. Embrace the power of customer segmentation and create personalised experiences that enchant your customers and drive business success.

AgileData Newsletter #33
AgileData Newsletter #33

The HitchHikers Guide to the Information Product Canvas
Bring Back Business Analysis with Howard Podeswa
New Google Cloud Feature to Optimise BigQuery Costs
Data Lineage Patterns
G60S – Google Sheets
Bring Back Data Modeling

The patterns of Activity Schema with Ahmed Elsamadisi
The patterns of Activity Schema with Ahmed Elsamadisi

In an insightful episode of the AgileData Podcast, Shane Gibson hosts Ahmed Elsamadisi to delve into the evolving world of data modeling, focusing on the innovative concept of the Activity Schema. Elsamadisi, with a rich background in AI and data science, shares his journey from working on self-driving cars to spearheading data initiatives at WeWork. The discussion centers on the pivotal role of data modeling in enhancing scalability and efficiency in data systems, with Elsamadisi highlighting the limitations of traditional models like star schema and data vault in addressing complex, modern data queries.

Amplifying Your Data’s Value with Business Context
Amplifying Your Data’s Value with Business Context

The AgileData Context feature enhances data understanding, facilitates effective decision-making, and preserves corporate knowledge by adding essential business context to data. This feature streamlines communication, improves data governance, and ultimately, maximises the value of your data, making it a powerful asset for your business.