Data quality : Why structured, reliable data is still the foundation of progress?

Host: Philippe Boulanger
Guest: Dylan Anderson – Director of Data Strategy, Analytics & AI at Atombit, creator of The Data Ecosystem

Why do organisations generate more data than ever, yet still struggle to turn it into meaningful insight?

In this two-part conversation, host Philippe Boulanger sits down with Dylan Anderson to cut through the noise and return to what truly matters: structured, reliable data as the foundation for analytics, AI, and business impact.

In Episode 1, they explore why insights remain scarce despite data abundance, what “structured” and “reliable” data really mean, and how weak standards, siloed systems, and inconsistent inputs quietly undermine even the most advanced AI initiatives. Dylan shares real-world lessons, including a digital twin that couldn’t scale due to poor data quality, and outlines the practical steps leaders can take to strengthen their data foundations fast.

A clear, actionable discussion that challenges the idea that “more data” is the answer, showing instead why real value comes from clarity, structure, and trust.

Episode 2 will dive into how AI can turn data quality from a challenge into a competitive advantage.

Brought to you by DQE – Data Quality Everywhere.

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