Blogs

Because sharing is caring

5 core Data Collection Patterns

At AgileData, delivering our Fractional Data Service has revealed the diverse challenges of integrating data from varied organisations, industries, and systems. To scale effectively, we’ve adopted five core data collection patterns based on our “Define it Once, Reuse it Often” (DORO) principle:

1. Push
2. Pull
3. Stream
4. Share
5. File Drop

These patterns are supported by a toolkit of tested technologies like Dataddo, Meltano, and Google services, allowing us to solve new data challenges quickly. Our approach ensures flexibility and scalability, always starting with the question: Push, Pull, Stream, Share, or File Drop?

Tesla and SpaceX with Joe Justice
Tesla and SpaceX with Joe Justice

In this episode, we talked to Joe Justice about how Tesla and Space X have developed a new operating model based on self-organizing teams that continuously discover, deliver, and improve to achieve a thousand year goal. It’s like the most radical combination of open space agility, OKR’s, Continuous Discovery, Continuous Delivery and Continuous Improvement, you can think of. Whatever you think of Elon Musk, these companies are way ahead of most other companies and accelerating further. Tune in for a fascinating discussion about how Tesla and Space X work.

Essence with Ivar Jacobson
Essence with Ivar Jacobson

Join Murray Robinson and Shane Gibson as they chat with Ivar Jacobson about Essence; a standard to develop patterns and pattern libraries that is being used by Scrum, SAFE, Lean and Kanban organisations. We discuss object oriented software engineering, use cases, UML, RUP, Essence and AI assisted method coaching. Join us to hear from one of the founders of the software engineering industry.

Data Asset, Data Product, Data Service?
Data Asset, Data Product, Data Service?

TD:LR Should we treat data as an Asset, a Product, a Service or a hybrid combination of all three? Data Asset, Data Product, Data Service? There has been a lot of discussions on LinkedIn, lots of podcasts, lots of webinars lately on the question of whether data should...

Demystifying the Semantic Layer
Demystifying the Semantic Layer

The semantic layer is your mystical bridge between complex data and meaningful business insights. It acts as a translator, converting technical data into a language you understand. It works through metadata, simplifying queries, promoting consistency, and enabling self-service analytics. This layer fosters collaboration, empowers customization, and adapts to changes seamlessly. With the semantic layer’s power, you can decipher data mysteries, conjure insights, and make decisions with wizard-like precision. Embrace this enchanting tool and let it elevate your data sorcery to new heights.

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 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.