Podcast
The Data Journey
Hosted by Roland Brown · EN
The Data Journey: Big Ideas, Small Time
Looking to stay ahead in data architecture, education strategy, and leadership—but short on time?
The Data Journey delivers actionable insights in under 10 minutes, weekly. Each episode is designed for busy professionals: quick, practical, and easy to apply. No fluff, no filler—just the strategies and frameworks you need to make smarter decisions, faster.
Subscribe to the newsletter at www.thedatajourney.com and transform your coffee break into a mini-masterclass in modern data and leadership.
12episodes
Episodes
Newest firstAll episodes
Episode 90: The Role of the Data COE (What It Should Actually Do)
2w ago00:16:17Tap to summarizeThe conversation delves into the misunderstood role of the Data COE, highlighting the inherent flaws of undefined excellence and reframing the COE's role as a facilitator of good behavior. It emphasizes the actual definition of excellence, the empowerment of ownership through the COE, and the role of the COE in a federated structure. Additionally, it discusses the balance between control and enablement in the COE, the long-term mandate of the COE, and ultimately defines the purpose of the Data COE.TakeawaysData COE's real job is to make good behavior easy to repeatCOE should build the foundation, codify what works, build capability, and make governance something teams work with🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 89: Data Ownership Is Still Broken (And Why That Matters)
Jun 2400:07:58Tap to summarizeIn this episode, Roland discusses the concept of ownership and its impact on behavior within an organization. He emphasizes the importance of real ownership, accountability, and value-driven ownership. The conversation delves into the challenges of ownership in federated models and the need for clear ownership to enable effective decision-making and reliable systems.TakeawaysOwnership is defined by behaviorOwnership without accountability creates activity, accountability creates actionReal ownership is tied to value, not activity🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 88: Centralised vs Federated: What Actually Works in Practice
May 2600:20:26Tap to summarizeThe conversation explores the debate between centralized and federated operating models, highlighting the impact of behavior on the success of these models. It emphasizes the need for a mature hybrid operating model that balances consistency and agility, with a focus on clarity and coordination across distributed ownership.TakeawaysCentralized vs. federated operating modelsBehavioral impact on operating models🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 87: Architecture Is Not an Operating Model
May 900:14:13Tap to summarizeIn this episode, Roland Brown discusses the critical distinction between architecture and operating model, emphasizing the importance of aligning these two layers for successful execution of data and AI initiatives. The role of architecture in enterprise transformation, the significance of operating models in data and AI initiatives, and the impact of aligning architecture and operating models are explored in detail.TakeawaysArchitecture vs Operating ModelExecution and StrategyAlignment of Architecture and Operating Model🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 86: Why Data & AI Strategies Fail in Execution
Apr 2200:07:33Tap to summarizeThe conversation delves into the journey of data products as intentional units of value, the gap between architecture and execution, the role of the operating model in execution, friction in the operating model, the danger of execution failure, and the importance of the operating model in creating value through consistent execution.TakeawaysData products as intentional units of valueExecution is where value is realized or lost🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 85: From Experimentation to Production AI
Apr 1400:11:16Tap to summarizeThe conversation delves into the challenges and considerations of transitioning AI systems to production, emphasising the organisational commitment, alignment, and maturity required for successful operation. It highlights the importance of trust, context, and intelligence in production AI, and the distinction between experimentation and real systems.TakeawaysAI in production is a commitmentProduction AI requires organisational alignmentTrust, context, and intelligence are crucial in production AI🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 84: AI Value vs AI Theatre
Apr 700:10:28Tap to summarizeThe conversation explores the concept of AI theater, where visibility masquerades as progress, and the value of AI is measured by sustainable impact rather than impressive demos. It emphasizes the importance of discipline in AI, focusing on trust, context, and intelligence as key factors in building real value.TakeawaysAI TheaterValue of AIDiscipline in AI🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 83: When Not to Use AI
Apr 200:10:07Tap to summarizeThe conversation explores the role of AI in architecture, emphasising the importance of architectural decision-making, complexity, clarity, data patterns, AI in policy-driven environments, risk and consequences of AI, ownership and governance of AI, and restraint in AI implementation.TakeawaysArchitectural decision-making is crucial in determining the necessity of AI implementation.Restraint in AI implementation is essential for maintaining coherence and trustworthiness in systems.🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 82: Explainable AI Starts With Architecture
Mar 2700:10:23Tap to summarizeThe episode introduces the concept of explainability and its importance in AI systems. It emphasizes that explainability is not an AI feature but an architectural outcome, and it's about being able to retrace intent. The conversation sets the stage for a deep dive into the topic of explainability and its practical implications in the context of customer 360.TakeawaysExplainability is not an AI feature, it's an architectural outcomeExplainability is about being able to retrace intent🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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Episode 81: Governing AI Like a Product
Mar 2400:06:27Tap to summarizeThe conversation explores the failure of AI governance, the need to move governance closer to where decisions are made, and the shift to product-centric governance. It also discusses the importance of specificity and context in governance, grounding governance in architecture, and enabling speed and scalability through product-based governance.TakeawaysAI governance fails due to a product problem, not a policy problemGovernance needs to move closer to where decisions are madeProduct-based governance enables speed and scalability🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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