Big Data Analytics in E-procurement of a Chain Hotel

  • Elezabeth MathewEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 29)


The hospitality industry is growing at a faster pace across the world which results in accumulating a huge amount of data in terms of employee details, property details, purchase details, vendor details and so on so forth. The industry is yet to fully benefit from these big data and the data has not been investigated to all extent for decision making or revenue/budget forecasting. Chae et al., 2014 has proposed in his paper to have descriptive, predictive and prescriptive data analysis as a good tool to analyze the big data collected in such means. In this paper, the author has tried to explore the data and produce some useful visual reports which is beneficial for the top management that give extra information about the inventoried data. The visual representation is limited to descriptive and predictive data analysis due to the time constraints. The author has used mainly R studio for the visual reporting. The author’s vision is to do an extended study by further investigation with the information gathered for prediction and decision making.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.RKW, HCTRas Al KhaimahUnited Arab Emirates

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