Laurent Reich
Global Head of HR Data & Analytics
L'Oreal
Precision in Talent Intelligence: Building a Bespoke Skills Framework
This session presents a first-hand account of building a bespoke skills framework at L’Oréal – an initiative that replaced generic taxonomies with a tailored solution for 90,000 employees. Laurent Reich explains the strategic rationale behind creating a manageable, 600-item taxonomy and how empowering employees to self-rate has generated over 500,000 data points. Learn how these insights support targeted learning, heat-map analysis for skill gaps, and informed dialogue between HR and business leaders. Attendees will gain practical examples of converting people data into measurable business value.
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Rationale for creating a bespoke skills framework
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Stakeholder alignment across global and functional boundaries
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The methodology behind limiting the taxonomy to around 600 skills
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Employee self-rating and its integration with personalised learning systems
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Use of data visualisation (heat maps) for real-time skill gap analysis
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Converting skills data into strategic discussions with business leaders
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Future enhancements using advanced analytics and AI forecasting.
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Understand the strategic benefits of a customised skills taxonomy
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Gain insights into implementing self-rating mechanisms to drive learning
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Learn how to visualise and activate people data for operational decisions
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Identify ways to align HR and business strategies using skills analytics
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Recognise potential challenges and strategies to overcome them in similar initiatives.
As organisations increasingly demand precise talent intelligence, a custom skills framework offers an alternative to off-the-shelf solutions that fail to capture unique business requirements. L’Oréal’s initiative reflects the urgent need for agile HR strategies that integrate data-driven learning and forecasting, supporting efficient talent mobility and resource allocation across global operations.
