Analyzing Hotel Reservations Dataset on Kaggle: Insights and Trends
The hospitality industry has undergone a significant transformation in recent times. It is no longer just about providing a room and food to guests; rather, hospitality providers aim to offer a personalized and memorable experience. This has resulted in the collection of vast amounts of data from hotel guests, which has become a valuable resource for the industry. In this article, we will analyze the Hotel Reservations Dataset on Kaggle, which provides us with insights and trends that can help those in the hospitality industry make data-driven decisions.
Understanding the Hotel Reservations Dataset
The Hotel Reservations Dataset on Kaggle is a comprehensive database that contains information about hotel reservations from two hotels. One is a resort hotel, while the other is a city hotel. The dataset consists of 119,390 records with 32 features, including the booking dates, the number of adults, children, and babies, meal types, and room types, among others.
Insights from the Dataset
We analyzed the dataset and came up with some interesting insights and trends that could help hospitality providers enhance their service delivery. Here are some of the key takeaways:
Seasonal Trends
Seasonality affects the hospitality industry, and the dataset provides some insights into this. In both the city and resort hotels, there were more reservations made in the summer months compared to the winter months. This presents an opportunity for hospitality providers to take advantage of peak seasons and develop targeted marketing strategies to attract more guests.
Lead Time
The lead time, which is the number of days between the booking date and arrival date, is an essential factor in the hospitality industry. The dataset reveals that a significant percentage of bookings were made near the arrival date, indicating that many guests make last-minute reservations. As such, hospitality providers should maintain flexibility in their booking policies to accommodate such guests.
Booking Cancellations
Booking cancellations are common in the hospitality industry, and the dataset provides insights into this. The analysis shows that city hotels had a higher cancellation rate compared to resort hotels. This presents an opportunity for city hotels to improve their booking policies to minimize cancellations.
Conclusion
The Hotel Reservations Dataset on Kaggle is an excellent resource that provides insights and trends into the hospitality industry. By understanding the dataset and the trends it reveals, hospitality providers can make data-driven decisions to enhance their service delivery. From our analysis, seasonality, lead time, and booking cancellations are essential factors that the industry needs to pay attention to. By keeping an eye on these factors, hospitality providers can provide personalized and memorable experiences to every guest.
