Abstract—The main interest for a tourism industry lies in analyzing the financial side like revenue per room and traveler expenses. The traveler analysis is provided in most of the analytics but if we can view it from the trip perspective then it will provide more meaningful insight. How a traveler is affected by economy, policies, media and other factors are few of the insightful parameters that we can consider. The concept deals in the area of tourism analytics from the big data perspective and how handling data from the tourism perspective can be made easy. The concept refers to the earnings and the households of the destination and churns the mathematical model to come up with a score for each trip a traveler makes. Based on the model, we also propose architecture for handling the data and provide analytics on the fly. The main aim is to study the tourism industry and come up with various insights to the data and the issues related to the same.
The gamified aspect of the industry is also one of the key features to study which we take into consideration and apply forecasting and prediction techniques to see the impact on the revenue or contribution in the future.

Index Terms—In-memory computing, tourism, analytics, gamification.

Prabal Mahanta and Suhas Sudheendra are with SAP Labs Pvt Ltd Bangalore, India (e -mail: p.mahanta@sap.com, suhas.s@sap.com)

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Cite:Prabal Mahanta and Suhas Sudheendra, "The Impact of Data Mining for Insights in Travel and Tourism Industry," International Journal of Computer and Electrical Engineering vol. 6, no.2, pp. 114-117, 2014.