As brands grow and scale, the increasing number of customer data sources creates fragmented profiles, which obscures high-value customers and prevents effective personalisation. Join New Look’s Chief Transformation Officer, Dan Chasle, as well as Matthew Biboud-Lubeck, Amperity’s General Manager EMEA, as they discuss the challenges of building accurate customer profiles when data is scattered across multiple systems.
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Dan Chasle
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Daniel Chasle is a seasoned Data and Analytics leader with nearly two decades of experience delivering transformative data solutions across the retail, hospitality, and consumer goods sectors. With a proven track record of operating at CXO level within some of the UK’s largest organisations, Daniel specialises in driving data-led transformations that unlock growth, operational efficiency, and customer value. Currently serving as the Interim Chief Data Officer for New Look a leading UK fashion retailer, Daniel has architected and mobilised a comprehensive data strategy aligned with top-line business objectives delivering enhanced decision-making and operational efficiencies across an intelligent end-to-end value chain. His previous roles include Co-Interim Chief Data Officer at a major health, beauty, and pharmacy retailer, where he helped establish a centralised Data Office, and Interim Chief Data Officer for the UK’s largest digital retailer, where he led the development of a new data operating model, a modern Azure cloud data platform and a transformation roadmap. Daniel’s leadership has also extended across Europe, where he directed multi-region teams delivering cloud data platforms for a large grocery retailer—supporting personalisation, analytics, and the successful re-launch of a loyalty scheme that re-engaged over 3 million customers. A passionate advocate for data-led transformation, Daniel helps organisations embed data and AI at the heart of their strategy—driving large-scale change and unlocking new value.
Bio from: Big Data LDN 2025
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