The article discusses the advantages of using ‘Hotel Management Analysis and Visualisation’ in condition of increasing global competition. The advantages of the Hotel Management Application is Financial Security, Enhanced guest Experience, Increase Bookings, Easy to manage Employees, Customers can give ratings for overall experience, including Room and Hall reservations, Ordering food. In condition of increasing global competition, demands and needs of consumer, quality and quality management is an intensified competition can be seen in the hotel industry in today. In this scenario, it is necessary to improve their management techniques and procedures. We downloaded the Dataset from Github which contains 119,390 Rows and 32 Column. We conducted research by taking some column as a Output column such as ‘City Hotel and Resort Hotel’, ‘Children and Adults’, ‘adr and assigned room type’, ‘Number of Bookings and Country’, ‘Customer type and is cancelled’, ‘adr and arrival date month’. Analysis and visualization helps managers and hotel owners can use to track their growth, identify new areas to improve and make better decision. The main objectives of this analysis is to understand the day-to-day improvement of hotel.

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Data-Driven Hotel Management: Analysis and Visualization

  • Anushree Raj,
  • Sadhana Kumble,
  • M. S. Rashmi,
  • Deekshitha

摘要

The article discusses the advantages of using ‘Hotel Management Analysis and Visualisation’ in condition of increasing global competition. The advantages of the Hotel Management Application is Financial Security, Enhanced guest Experience, Increase Bookings, Easy to manage Employees, Customers can give ratings for overall experience, including Room and Hall reservations, Ordering food. In condition of increasing global competition, demands and needs of consumer, quality and quality management is an intensified competition can be seen in the hotel industry in today. In this scenario, it is necessary to improve their management techniques and procedures. We downloaded the Dataset from Github which contains 119,390 Rows and 32 Column. We conducted research by taking some column as a Output column such as ‘City Hotel and Resort Hotel’, ‘Children and Adults’, ‘adr and assigned room type’, ‘Number of Bookings and Country’, ‘Customer type and is cancelled’, ‘adr and arrival date month’. Analysis and visualization helps managers and hotel owners can use to track their growth, identify new areas to improve and make better decision. The main objectives of this analysis is to understand the day-to-day improvement of hotel.