Data in travel and hospitality
travel data: booking and pricing data, demand forecasting, loyalty and personalization, and channel/distribution analytics.
Travel and hospitality runs on fragmented, high-velocity data: bookings, PMS records, GDS feeds, loyalty profiles, reviews, and real-time pricing signals across fragmented intermediaries. This block builds fluency in how data flows through the guest and traveler journey, what sources and metrics actually drive commercial and operational decisions, and how quality gaps distort demand forecasting, personalization, and revenue management. You will examine the systems generating this data (PMS, CRS, GDS, OTAs, CRM), the benchmarks used to judge its reliability and usefulness, and the privacy and governance obligations unique to cross-border travel data. The goal is practical fluency: reading data infrastructure critically, questioning metric definitions, and recognizing governance risk before it becomes a compliance or trust failure.
Ce que vous allez maîtriser
- Map the key data sources and systems (PMS, CRS, GDS, OTA feeds, loyalty platforms) that generate sector data
- Evaluate data quality issues specific to travel data, such as duplicate guest profiles, channel mismatches, and rate parity discrepancies
- Apply core data-quality and analytics benchmarks used in revenue management, personalization, and demand forecasting
- Identify privacy, cross-border data transfer, and governance risks specific to guest and traveler data, and design basic audit checks