The dataset contains information about bookings in two types of hotels, City and Resort Hotels. Both share the same structure, with 36 variables describing the 40,060 observations of the Resort Hotel and 79,330 observations of the City Hotel. Bookings recorded from July 1, 2015, to August 31, 2017, include successful and canceled bookings.
Both City & Resort Hotels are experiencing high cancellation rates, leading to reduced revenues and under-utilized rooms affecting the operational efficiency of the Hotels.
The primary objective of this analysis is to understand the factors contributing to high cancellation rates in both City Hotel and Resort Hotel. By identifying these factors, we can develop targeted strategies to minimize cancellations, increase revenue, and optimize hotel room utilization.
Sharing key insights gained from the analysis, revealing patterns & correlations impacting cancellation rates. Providing actionable solutions and strategies to minimize cancellations and improve bookings and revenue generation.