The analytics transformation: Becoming a data-driven ...€¦ · Copyright © 2014 CWT Thank you....
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Copyright © 2014 CWT - Copyright © 2011 CWT - Copyright © 2011 CWT - Copyright © 2014 CWT EyeforTravel Smart Analytics Amsterdam | November 24, 2014 The analytics transformation: Becoming a data-driven organization C. Sánchez
Transcript of The analytics transformation: Becoming a data-driven ...€¦ · Copyright © 2014 CWT Thank you....
Copyright © 2014 CWT- Copyright © 2011 CWT- Copyright © 2011 CWT- Copyright © 2014 CWT
EyeforTravel Smart Analytics
Amsterdam | November 24, 2014
The analytics transformation: Becoming a data-driven organization
C. Sánchez
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Agenda
Introduction to business travel.
Reporting 2.0.
The great differentiator: Use case applications.
Towards “industrial” Big Data: Main challenges.
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CWT at a glance
A global leader in business travel.
Present in over 150 countries and territories (wholly owned, JVs & partner countries).
Nearly 20,000 employees.
A diverse client portfolio of large corporations, small and mid-size companies, government institutions and non-governmental organizations.
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Reporting vs. analysis
Reports shares information:
Millennials = 25% of business travelers.
Account for 20% of the spend.
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Analysis shares insights:
Millennials occupy more junior ranks.
More stringent travel policies.
A higher fraction of millennials are observed in developing countries.
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Reality
Most organizations in early stages of Big Data analytics join the party!
Business leaders don’t care about the data. They care about making betterdecisions faster need use cases
Most Microsoft and Yahoo analyses done over 14 GB datasets not too big
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Gartner 2014 Survey
http://www.gartner.com/document/2841519
http://research.microsoft.com/pubs/179615/msrtr-2013-2.pdf
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Traveler experience
Digitalisation Connectivity Personalisation
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Most interactions arehappening via digitalplatforms.
We expect 25% oftravel bookings to beon mobile by 2017.
Everybody is connectedall the time even whentraveling.
Information is key andwe want access at ourfingertips.
Devices will becomeextensions of the self,and people will come toexpect offerings andservices which aretailored to them.
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Modeling
Past information gives you insight into the future.
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Text analytics
Results
Reviews
Surveys
Social
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Collect Analyze Present
Sentiment
Customer Service
Insight
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Challenges
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Big Data
Collect
Analyze
Communicate
Integrate
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Conclusions
Data analytics is the present and the future.
You have enough data. The question is what to do with it!
Find simple use cases. You can always make it more complex.
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Thank you.
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Carlos Sánchez
Sr. Manager Big Data Analytics
Carlson Wagonlit Travel
