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BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

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BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014
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Page 1: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

BIG DATA & THE TRAVEL INDUSTRY

Glasgow PLUs 2014

Page 2: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

DEFINING BIG DATA

Glasgow PLUs 2014 2

Source: IBM - Big data and analytics in travel and transportation - 2014

Page 3: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

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Page 4: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

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Page 5: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

• Has to solve a business problem

• Requires multi-step analysis

• Has an element of prediction

• The nerve center of a company, but a human must be in control

• Fake serendipity & spontaneity

MOVING TOWARDS A DEFINITION

Glasgow PLUs 2014

Page 6: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

Big Data for the Travel

Industry

Big Data for the Travel

Industry

Page 7: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

PRIVACY & SECURITY?

Glasgow PLUs 2014 7

• Data security in general is a big risk, but big data doesn’t make this much worse

• Companies must have good data security practices

• Focus – collecting everything is dangerous

• Customers don’t know who has their data; they may reject personalization efforts

Page 8: BIG DATA & THE TRAVEL INDUSTRY Glasgow PLUs 2014.

OTHER PITFALLS

Glasgow PLUs 2014 8

• Shortage of qualified workforce (analysts, developers, statisticians, etc.)

• Garbage In / Garbage Out

• Forgetting the fundamentals


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