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Big Data in the travel marketplace

  • Practice Article
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Journal of Revenue and Pricing Management Aims and scope

Abstract

We are beginning to see that Big Data will have a profound impact on gaining consumer insights, improving process efficiencies and enhancing the consumer experience. In the travel industry, travel suppliers, Online Travel Agencies and Global Distribution Systems have access to vast amounts of data from across the travel value chain – marketing and lead generation, interactive selling, fulfillment and customer care. Big Data can offer unique insights into consumer preferences and behavior patterns to improve conversion rates and revenues. This article focuses on the role of Big Data, the skills required in an organization to leverage Big Data in travel followed with examples of Big Data applications related to travel as it applies to suppliers, online and traditional travel agencies.

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References

  • Choubert, L., Fiig, T. and Viale, V. (2015) Amadeus Dynamic Pricing, AGIFORS Revenue Management Conference presentation, 15 May, Shanghai, China.

  • Danova, T. (2014) Beacons: What they are, how they work, and why Apple’s iBeacon Technology is ahead of the pack, Business Insider, 23 October.

  • Dean, J. and Ghemawat, S. (2004) MapReduce: Simplified Data Processing on Large Clusters, Sixth Symposium on Operating System Design and Implementation, OSDI, Vol. 6, San Francisco, CA, December.

  • Demir, H.I. (2010) Our unique digital footprint, The Fountain Magazine, Issue 77, September–October.

  • Dumancas, G.G. and Bello, G.A. (2015) Comparison of machine-learning techniques for handling multicollinearity in big data analytics and high-performance data mining, http://sc15.supercomputing.org/sites/all/themes/SC15images/tech_poster/poster_files/post111s2-file3.pdf, accessed 15 January 2016.

  • Gantz, J.F. (2008) ‘The Diverse and Exploding Digital Universe’ an IDC White Paper sponsored by EMC, Framingham, MA 01701.

  • Ghemawat, S., Gobioff, H. and Leung, S.-T. (2003) The Google File System, 19th ACM Symposium on Operating Systems Principles, Lake George, New York, October.

  • Kavi, K.M. (2010) Beyond the black box, IEEE Spectrum, August, pp. 46–51.

  • Laney, D. (2001) 3D Data Management: Controlling Data Volume, Velocity, Variety, Application Delivery Strategies, META Group, Stamford, Connecticut, 6 February.

  • Rao, B.V. and Smith, B.C. (2005) Decision support in online travel retailing. Journal of Revenue and Pricing Management 5(1): 72–80.

    Google Scholar 

  • Ratliff, R.M. and Vinod, B. (2005) Airline pricing and revenue management: A future outlook. Journal of Revenue and Pricing Management 4(3): 302–307.

    Article  Google Scholar 

  • Sabre Corporation (2015) Sabre introduces Sabre Marketplace Analytics – A data analytics solution to help airlines capitalize on travel demand, PR Newswire, 24 March.

  • Varian, H. (2014) Big data: New tricks for econometrics. Journal of Economic Perspectives 28(2): 2–28.

    Article  Google Scholar 

  • Vinod, B. (2011) The future of online travel. Journal of Revenue and Pricing Management 10(1): 56–61.

    Article  Google Scholar 

  • Vinod, B. (2013) Leveraging big data for competitive advantage in travel. Journal of Revenue and Pricing Management 12(1): 96–100.

    Article  Google Scholar 

  • Vinod, B. (2015) Leveraging Big Data in the Travel Marketplace, AGIFORS Revenue Management and Second Chinese Airline Revenue Management Summit Joint Conference, 13–15 May, Shanghai, China.

  • Zouaoui, F. and Rao, B.V. (2009) Dynamic pricing of opaque airline tickets. Journal of Revenue and Pricing Management 8(2/3): 148–154.

    Article  Google Scholar 

Download references

Acknowledgements

This article is based on a presentation the author made at the AGIFORS Revenue Management Conference in Shanghai, 14–15 May 2015. The author thanks Sunny Ja and Tassio Carvalho for having provided the opportunity to present a key new enabler for pricing and revenue management, and travel in general, that may not be foremost on the radar of revenue management practitioners.

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Authors and Affiliations

  1. Sabre Research, Southlake, USA

    Ben Vinod

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  1. Ben Vinod
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1serves as Chief Scientist and Senior Vice President at Sabre. Before rejoining Sabre in 2004, he was Vice President of Sabre Airline Solutions; responsible for pricing and yield management.

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Vinod, B. Big Data in the travel marketplace. J Revenue Pricing Manag 15, 352–359 (2016). https://doi.org/10.1057/rpm.2016.30

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  • DOI: https://doi.org/10.1057/rpm.2016.30

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