Page 157 - Building Big Data Applications
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Chapter 8 Travel and tourism industry applications and usage 155
Hotel Shopping APIsdSimilar to the flight APIs, the hotel shopping APIs allow you to
return availability and price for accommodation at any given location. You can either
search using an IATA airport or city code or actually define the search zone yourself.
These APIs also allow you to get detailed information on any hotel, including address,
amenities, awards, room, prices etc.
Cars Shopping APIsdThe car shopping APIs provide you with a comprehensive way
to search for a rental car. You can either search using IATA airport codes or define
a geographical zone, making it the perfect way to enrich the traveler’s booking flow on
your prototype.
Rail and Train APIsdThe rail and train APIs allow you to find schedules, availability,
and prices for trains in France at any given date. Adding train to your flight and hotel
booking application is a great way to create a fully integrated journey for the traveler.
Travel Record APIdThe travel record API returns the trip information for a given
passenger name and reservation code. This API can do wonders when it comes to
creating personal traveling assistants to guide passengers during their trip.
Travel Intelligence APIsdThe new travel intelligence APIs allow you to access travel
insights based on real data. They allow you to find out the most popular destinations
people are searching and traveling to from a given origin. Similarly, the travel intelli-
gence APIs allow you to check the traffic between two airports over time.
In conclusion we see a huge upliftment of the customer and their 360 degrees of
activity becoming the focal point of the travel industry. Today we see the availability
of data and its trends with the movement of the customer, who can be a new or an
existing or a returning prospect providing us with perspectives on how they will and shall
react, which will be useful to create storyboards and be very useful in prescriptive
analytics for the enterprise. We have several innovative solutions deployed across many
of the travel and tourism channels in the eCommerce, which have delivered efficiencies
and increased revenue cycles by multiple percentages to enterprises.
Additional reading
Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling by
Constantinos Antoniou, Loukas Dimitriou, Francisco Pereira.
Big Data and Innovation in Tourism, Travel, and Hospitality: Managerial edited by Marianna Sigala,
Roya Rahimi, Mike Thelwall.
Learning Big Data Gathering to Predict Travel Industry Consumer Behavior Johnny Ch Lok.
Research Methods for Leisure and Tourism by A.J. Veal.
The Analytic Hospitality Executive: Implementing Data Analytics in Hotels by Kelly A. McGuire.