Most organisations don’t struggle with collecting or moving data.
They struggle with turning data into something people can actually use.

In this episode, Roland Brown explores what a data product really is and why so many organisations believe they are building data products when they are actually just producing data assets. He explains how pipelines, tables, and dashboards are often mistaken for products, even when no one owns them or uses them with confidence.

Roland unpacks why intent, ownership, and context are what separate real data products from technical artefacts. He shows how data without a clear consumer, decision, or accountability quickly becomes fragile, mistrusted, and underutilised regardless of how modern the platform may be.

The episode connects product thinking, data architecture, and operating models highlighting why data products are the missing link between platforms and outcomes. From pipelines that move data to products that enable decisions, Roland reframes what “done” really means in modern data teams.

From data assets to data products, this episode challenges teams to rethink how value is created and why clarity matters before scale.

Discover insights on:

What a data product really is and what it isn’t
Why pipelines and datasets alone don’t create value
How intent, ownership, and semantics build trust
Why product thinking is essential for data maturity

“Pipelines move data. Products create value when people can trust and use them.”

🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com.