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In this episode, we challenge one of the most overused (and unhelpful) phrases in data: “garbage in, garbage out.”

We talk about how a negative data narrative can actually sabotage data-driven ambitions, and why constantly focusing on what’s broken creates friction instead of progress. Instead, we argue for a mindset shift: focusing on the data we trust - our gold data - and building from there.

We discuss why data should be prioritized early in projects (not rushed in at the end), why “big data” is often the wrong goal, and how trusted data is the real foundation for ROI, AI, and business impact. The takeaway? Stop collecting everything. Start collecting what matters - and talk about data as an enabler, not a problem.

Garbage in, garbage out is officially dead. Long live gold in, gold out.

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In this episode, we dive into Adobe’s new AI agents in Customer Journey Analytics and what they actually mean for businesses - beyond the hype.

We talk about how AI agents can democratize analytics, automate reporting, and free up time for real analysis. But we also get brutally honest about the elephant in the room: data quality, governance, and trust. Because AI doesn’t fix bad data - it just scales the problem.

We discuss AI as a workflow enabler vs. AI as a business driver, why most AI projects die in pilot, and why executives, not tools, need to take ownership if AI is going to create real business value. Also: one of us is officially declared a “grumpy old man” when it comes to AI. We stand by it.

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Why do different teams in the same company end up with different “truths” in the data - and why does it turn into a political battle?

In this episode, we unpack “data wars”: the clash between optimization truth (marketing performance) and business truth (actual outcomes). We talk about why marketing, IT, data teams and executives often operate in silos, why dashboards don’t add up, and how “single source of truth” is more myth than reality.

We dive into shared data language, integration challenges, compliance concerns, and why business value - not tools or politics - should be the starting point. And yes, there are dad jokes. Data quality starts with honesty.