AtliQ Grands owns multiple five-star hotels across India. They have been in the hospitality industry for the past 20 years.
Company is losing its market share and revenue in the luxury/business hotels category. Due to strategic moves from other competitors and ineffective decision-making in management.
The management wants to fix this issue, the managing director wanted to incorporate “Business and Data Intelligence” to regain their market share and revenue.
The goal of this project is to perform data analytics on data to incorporate “Business and Data Intelligence” to regain the market share and revenue using various tools and technologies.
- The month of "May 2022" stands out as a highly successful period in terms of revenue generation and realization indicating strong performance and profitability during that time.
- The "Elite" room type have seen a lot of canceled bookings and no-shows.
It appears that this room type has experienced the highest number of cancellations and instances where guests did not show up for their reservations.
This observation suggests an area for improvement in customer satisfaction, booking policies, or communication to minimize these occurrences.
- "Delhi" has achieved the highest occupancy rate, indicating a thriving hospitality market in the city.
- The "Presidential" rooms is the top performer in terms of Revenue Per Available Room (RevPAR).
It means that these rooms are in high demand and preferred by guests, bringing in a significant portion of the establishment's total revenue.
- The "Journey" platform has has received the highest average rating, scoring an impressive 3.63.
This shows that customers are very satisfied with the platform's services. It indicates that the platform is effective in providing a great user experience and meeting customer expectations.
- The analysis shows that most cancellations occur on Weekdays.
This finding suggests the need to investigate the reasons behind these cancellations, such as changes in travel plans or business-related factors. By understanding the underlying causes, strategies can be devised to mitigate cancellations and potentially enhance customer retention.
- During "Week 28", we identified the highest Average Daily Rate (ADR) of 12,754.
- "Atliq Exotica" hotel has the highest realization rate, meaning they convert a lot of bookings into actual stays.
This shows they run efficiently and satisfy customers. It positions "Atliq Exotica" as a top-performing hotel in turning bookings into revenue-generating stays.
- The "Elite" rooms have demonstrated their dominance in terms of "Daily Utilized Room Nights (DURN)".
This finding implies that these rooms are highly utilized and in demand, resulting in a larger number of room nights utilized compared to other room types.
It indicates that the"Elite" rooms are a preferred choice among guests, contributing significantly to the overall occupancy and revenue of the establishment.
- In terms of Daily Booked Room Nights (DBRN), "Mumbai" emerges as the top-performing location.
This finding suggests that Mumbai experiences a high demand for accommodations, leading to a larger number of rooms being booked on a daily basis.
The Generated revenue refers to the total revenue that was projected or expected to be earned during a specific month.
On the other hand, the Realized revenue represents the actual revenue that was achieved or collected in those months.
The "Occupancy Percentage" refers to the proportion of rooms or accommodations that are occupied in a given time period.
The occupancy percentage provides insights into how effectively a property is filling its available rooms.
DBRN represents the number of rooms booked in a hotel or accommodation establishment on a daily basis.
It serves as a crucial indicator of occupancy and overall demand within the hospitality industry.
DAILY UTILIZED ROOM NIGHTS (DURN) helps in understanding the occupancy rate and utilization of rooms in the hospitality establishment.
Additionally, we examined the performance of different room classes. These room classes likely represent different levels of luxury and amenities offered by the establishment.
ADR, or Average Daily Rate, is a key metric used in the hospitality industry to evaluate the average price at which hotel rooms are sold per day.
A higher ADR indicates that rooms are being sold at a higher price, which can be an indicator of increased profitability or a reflection of the hotel's pricing strategy.
The "AVERAGE_RATINGS" variable likely represents the average ratings or scores given by customers or guests, reflecting their satisfaction or experience with the hospitality services provided.
It Shows that certain platforms show a higher average rating compared to others, indicating a higher level of satisfaction among customers who booked through those platforms.
This metric helps assess the rate at which customers cancel their bookings or reservations.
This information can be valuable for hospitality businesses to optimize their operations, staffing, and revenue management strategies based on the expected cancellation patterns.
REVPAR is a key performance indicator in the hotel industry that measures the revenue generated per room available for a given period.
This metric provides valuable insights into the financial performance of your hospitality business and enables you to make data-driven decisions to optimize revenue and enhance customer satisfaction.
Cancelled Bookings: This indicates the number of bookings that were initially made but later cancelled by the customers.
No-Shows: This refers to the number of bookings where customers made a reservation but did not show up or failed to check-in.
This metric indicates the proportion of bookings that resulted in successful checkouts, reflecting the effectiveness of the hotel or accommodation in converting bookings into completed stays.
For example, if the realization percentage is low, it may indicate issues such as booking cancellations, no-shows, or guests leaving before completing their intended stay.
On the other hand, a high realization percentage suggests that the property is effectively converting bookings into completed stays.