The Data Journey

In this episode of The Data Journey, Roland Brown explores the next frontier beyond Customer 360 — Alternative Data— and how it’s redefining trust, context, and competitive advantage.

Building on Episode 47 (Customer 360 & Master Data — The Architecture of Trust), this discussion unpacks how organisations can augment internal data with external signals to build richer, more predictive insights about their customers and markets.

From social sentiment and mobility data to open datasets and ecosystem partnerships, alternative data extends the edges of what’s possible — moving analytics from descriptive to predictive, and AI from pattern recognition to true understanding.

Your internal data tells the story you already know.
Alternative data reveals the chapters you’ve yet to read.

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If data quality is about the health of your data, MDM is about its identity. Without it, you’re left with multiple versions of customers, products, or employees across your systems. Today, in Episode 47, we’re going deeper. We’re asking: how does MDM connect directly to Customer 360, and why is trust the architecture that makes it possible?

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How do I make the leap to becoming a data architect?

The leap isn’t technical — it’s mental. Engineers build pipelines. Architects design ecosystems. And making that leap requires not just new skills, but a completely different mindset. In this episode I explain ..

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Pipelines deliver data — but value streams deliver impact. If we architect around pipelines alone, we optimise for movement. If we architect around value streams, we optimise for outcomes. And that’s where true business value emerges. Lets dig deeper ..

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The future of data isn’t about one cloud or one platform — it’s about ecosystems. Organisations are realising that no single provider can meet all needs, so multi-cloud and hybrid architectures are becoming the norm. The challenge is designing for agility without drowning in complexity. Lets Unpack...

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Big data didn’t appear out of nowhere. It was born when the internet shifted from static consumption to dynamic participation. And at the heart of it are the famous V’s of Big Data — volume, velocity, variety, and more. Lets Explore ....

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Data doesn’t just live in databases — it lives under laws. Where your data sits physically and how it flows across borders can mean the difference between innovation and regulatory breach. Lets Unpack.

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Technology can scale faster than trust* AI has incredible potential, but without solid data practices, it risks reinforcing bias, breaching compliance, or undermining customer confidence. That’s why responsible AI must be built on responsible data. Lets Explore...

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Data is no longer just a by-product of business — it is the business. Organisations are now packaging, sharing, and selling data as products. The question is: how do you move from raw data to actual revenue streams? Lets Explore.

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The future of data isn’t one platform, it’s many. Most enterprises now live in multi-cloud and hybrid environments. That means your AWS data lake, Azure machine learning services, and on-premise warehouse all need to connect seamlessly. Without interoperability, silos return — just in a new form. So today, we’ll unpack how APIs, contracts, and standards allow platforms to talk, ensuring your ecosystem works as one.

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