Data in luxury
luxury data: clienteling and CRM, authentication and grey-market tracking, demand for scarce items, and privacy for high-value clients.
Luxury brands run on scarcity, heritage and emotional value, yet they increasingly compete on data maturity: CRM depth, resale intelligence, counterfeit detection and personalization at scale. This block builds sector-specific data fluency for luxury professionals. You will see how core data concepts apply to atelier-to-boutique value chains, learn which datasets actually matter in this industry (client books, VIC tiers, secondary-market pricing, provenance records), how to judge their quality, and which analytics benchmarks signal real performance versus vanity metrics. You will also cover the privacy and governance obligations tied to handling ultra-high-net-worth client data, and the practical checks needed to keep luxury data trustworthy, compliant and usable across markets.
What you'll master
- Map core data concepts (structured/unstructured, first vs third-party) onto luxury-specific flows like clienteling, boutique CRM and e-commerce
- Identify and evaluate the key luxury datasets, including client books, VIC/VIP tiers, resale and authentication data, and inventory-to-boutique data
- Apply data-quality and governance metrics to assess CRM hygiene, data completeness and clienteling effectiveness
- Design practical data audits and privacy checks compliant with GDPR and regional rules for handling sensitive UHNW client information