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Saturday, February 23, 2019

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Travel Data Daily

Home
Airlines
- Airlines
  
  How airlines & hotels profit from your data
  
  Airlines
  
  Disrupting Airline Loyalty – The billion dollar risk airlines are taking
  
  Airlines
  
  Airline Loyalty Blockchain – Is it all hype?
  
  Airlines
  
  American Airlines Going ‘Back to Basics’ To Prep For Big Data
  
  Airlines
  
  Could Machine Learning Help Cathay Pacific Save Millions From Travel Delays?
Hotels
- Big Data
  
  Are Asian Hoteliers Today Overwhelmed by Data?
  
  Business Intelligence
  
  5 Simple Ways Hotels Can Use Data To Increase Revenue
  
  Hotel Loyalty Programs
  
  Disrupting loyalty: How can hotels become enablers, not just destinations?
  
  Hotels
  
  Talking Big Data with HotelQuickly
  
  Business Intelligence
  
  3 Charts Showing Growth of Short-Term Rentals vs. Hotel Online Bookings
Big Data
- All Analytics Business Intelligence Insights CRM Design Machine Learning Revenue Management
  
  Airlines
  
  How airlines & hotels profit from your data
  
  Analytics
  
  Breakage vs Engagement: The Financial Question for Loyalty Programs
  
  Design
  
  Diversify the Data in Data-driven Design: Creative Pairings of Quant and…
  
  Analytics
  
  Predicting Loyalty Churn – Cathay Pacific Marco Polo [Case Study]
Loyalty Programs
- All Frequent Flyer Programs Hotel Loyalty Programs
  
  Airlines
  
  How airlines & hotels profit from your data
  
  Airlines
  
  Disrupting Airline Loyalty – The billion dollar risk airlines are taking
  
  Airlines
  
  Airline Loyalty Blockchain – Is it all hype?
  
  Analytics
  
  Predicting Loyalty Churn – Cathay Pacific Marco Polo [Case Study]
Talking Data
- Analytics
  
  Breakage vs Engagement: The Financial Question for Loyalty Programs
  
  Big Data
  
  Are Asian Hoteliers Today Overwhelmed by Data?
  
  AirBNB
  
  Interview with Airbnb host management platform, GuestReady
  
  Big Data
  
  Talking Data with Hilton: Jonathon Wardman, Vice President CRM
  
  Hotels
  
  Talking Big Data with HotelQuickly
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