Big Data has generated huge buzz among executives across industry verticals and travel industry is no exception. Several data challenges that the travel industry faces result from its long-term usage of information systems for key processes.

1. Big Data into actionable intelligence
Big Data has generated huge buzz among executives across industry verticals and
travel industry is no exception. Several data challenges that the travel industry
faces result from its long-term usage of information systems for key processes. As
a result their business data is often fragmented across multiple functions and units.
For example, airline data on the passenger experience is spread across flight
operations, baggage, loyalty programs, complaint databases, and external sources
like social media.
In order to make effective decisions about how to promote offers to customers and
deal with unexpected scenarios, airlines need to combine all of this information into
one data warehouse and one set of algorithms, which would require considerable
investment. Creating an integrated source of customer information is not only
expensive, but difficult no matter how large the available budget.
While most of us understand and agree with the benefits that big data can provide
to a travel firm, many of the business leaders we speak with still find the topic a
little abstract and theoretical. They want concrete examples of how leading
corporations convert Big Data into actionable intelligence to predict trends, save
costs, and boost revenues.
Orbitz provides an ideal case to compare before and after metrics of a Hadoop Big
Data implementation. How does big data affect their ability to precision market?
Improve search result? React faster to emerging trends?
View our webinarto learn how Orbitz turned unused Big Data into Big value.