Let's Talk Data

Guest: Charlotte Ledoux - Data & AI governance expertIn this episode of Let’s Talk Data, we take a step back to explore a foundational concept for any data-driven organization: data governance.As companies generate and rely on more data than ever, the challenge is no longer access - it’s trust, structure, and usability of data. With Charlotte Ledoux, we break down what data governance really means, where it comes from, and how it supports data quality, compliance, and business performance.The discussion highlights why data governance has become a critical business priority. From poor decision-making to failed AI initiatives, weak data foundations create real risks for organizations. On the other hand, a strong governance framework enables companies to unlock the full value of their data and scale AI with confidence.We also move into practical considerations: how to implement data governance within an organization, where to start, and the common challenges companies face. Is there a one-size-fits-all model, or does each company need its own data governance strategy?The takeaway: in a world saturated with data, success depends not on how much data you have, but on how well you manage, trust, and activate it to drive business outcomes.Brought to you by DQE – Data Quality Everywhere.Hosted on Ausha. See ausha.co/privacy-policy for more information.

Guests : Léonard Jochem and Steve Collinge - Managing Director - Insight Retail GroupWhat are the key challenges facing retailers in 2026 ?In this two-part episode of Let’s Talk Data, we explore the structural challenges shaping retail in 2026 - and what truly separates leaders from laggards in a permanently changed environment.Retail is no longer defined by disruption alone, but by execution. Customer expectations, cost pressure, technology capability and data maturity are colliding, forcing retailers to rethink long-held assumptions.Together with Steve Collinge, we examine why the physical store is being re-engineered rather than replaced, how convenience has become the primary competitive battleground, and why data is shifting from operational by-product to strategic commercial asset.The discussion also tackles range rationalisation as a profit lever and explains why, in an AI-enabled world, people and expertise are becoming stronger differentiators - not weaker ones.The takeaway: the gap between retail leaders and losers is widening, driven less by ambition and more by disciplined execution.Part 2 dives deeper into the data foundations retailers must fix to compete in 2026.Brought to you by DQE – Data Quality Everywhere.Hosted on Ausha. See ausha.co/privacy-policy for more information.

Guests: Philippe Boulanger and Dylan Anderson – Director of Data Strategy, Analytics & AI at Atombit, creator of The Data EcosystemWhy 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.Hosted on Ausha. See ausha.co/privacy-policy for more information.