HOTEL DATA ANALYTIC REPORT

The hotel data report provides an analysis of a dataset of 525 hotels in a particular area, highlighting the average price, rating, and review score of the hotels in the dataset.

The report presents insights into the premium and luxurious nature of the hotels in the area, with several hotels priced higher than the average.

However, the dataset also includes lower-priced hotels, catering to different budgets and preferences of guests. The report emphasizes the overwhelmingly positive reviews of the hotels in the dataset, with the majority of hotels receiving a 'Very Good' or 'Good' review, suggesting that the guests are generally satisfied with their stay.

The report concludes with recommendations for hotels to focus on guest feedback to improve their services and enhance the guest experience, as well as the importance of providing diverse accommodation options for different types of guests.

Key Insight on metric:

Based on the analysis of the hotel dataset, the following insights was uncover:

1. The total average price for the hotels in the dataset was $12.9k, which represents 19.05% of the total price of $16.8M. This indicates that the hotels in the dataset are generally high-end and expensive.
2. The average rating of the hotels in the dataset was 8.1, which suggests that the hotels are of good quality and provide a satisfactory guest experience.
3. The average review score for the hotels in the dataset was 718.3, indicating that the hotels are well-reviewed, and guests are generally happy with their stay.
4. There are a total of 525 hotels in the dataset, which provides a comprehensive view of the hotel market in the area.
5. The top 10 hotels in the dataset with the highest prices are led by Crowne Plaza Maastricht, an IHG Hotel, with a price of $53,439, followed closely by NH Maastricht at $52,252. This suggests that these hotels offer a luxurious and exclusive experience to guests.
6. The other hotels in the top 10 list, such as Andaz Amsterdam Prinsengracht, Voorde 16pers: bungalow, and Win's Place Amsterdam/Airport Hoofddorp, also have high prices, indicating that there is a demand for premium accommodations in the area.
7. The dataset includes a diverse range of hotels, including floating hotels, bungalows, and suites, catering to different types of guests and their preferences.
8. The dataset includes several hotels that are priced lower than the average, with the lowest price being $3,988 for the Premiere Class Hotel. This indicates that there are also affordable accommodation options available in the area, catering to different budgets and preferences of guests.
9. The reviews of the hotels in the dataset are overwhelmingly positive, with 54.86% of hotels attested to a 'Very Good' review and 29.14% of hotels receiving a 'Good' review. Only 2.29% of the hotels received a 'Fair' review, indicating that the majority of guests were satisfied with their stay.
10. The 'Excellent' rating was given to 72 hotels, representing 18.71% of the total hotels in the dataset. This suggests that some hotels are excelling in providing a superior guest experience, which could be used as a benchmark for other hotels to improve their services.
11. It is essential to focus on the feedback and suggestions provided by guests, even if they had an overall good experience. This can help hotels to identify areas of improvement and make necessary changes to enhance the guest experience.
12. The Stayokay Hostel Harlen and Student Hotel Haven and Potterdam were among the hotels that received positive reviews. This suggests that there is a demand for affordable accommodation options among students and backpackers in the area.
13. The dataset includes a range of accommodation types, including hotels, bed and breakfast, and hostels, catering to different preferences and budgets of guests.

Overall, the dataset provides valuable insights into the hotel market in the area, highlighting the affordable and positive options available to guests. These insights can help stakeholders make informed decisions about investment opportunities, target audiences, and marketing strategies.

Key possible Recommendation

here are some recommendations based on the insights from the hotel dataset analysis:

1. Consider targeting high-end guests: Given that the hotels in the dataset are generally high-end and expensive, stakeholders could focus on targeting high-end guests who are willing to pay a premium for luxurious accommodations. This could involve marketing campaigns that highlight the luxurious amenities and services offered by the hotels in the area.
2. Focus on improving guest experience: While the average rating and review scores for the hotels in the dataset are good, stakeholders should still focus on improving the guest experience. This could involve investing in training staff to provide exceptional customer service, upgrading amenities and facilities, and addressing any negative feedback provided by guests.
3. Offer affordable accommodation options: While there is a demand for premium accommodations, it is also essential to offer affordable options to cater to a wider range of guests. Stakeholders could explore the possibility of offering more budget-friendly accommodations, such as hostels or bed and breakfasts.
4. Identify and emulate successful hotels: The analysis showed that some hotels excelled in providing a superior guest experience. Stakeholders could identify these hotels and study their strategies to learn how they provide such exceptional service. This could help other hotels in the area improve their guest experience and attract more positive reviews.
5. Cater to specific guest needs: The dataset includes a diverse range of accommodation types, catering to different preferences and budgets of guests.
6. Stakeholders could consider offering specialized accommodations to cater to specific guest needs, such as student accommodations or pet-friendly options.