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https://github.com/as16082023/atliq-hospitality-analysis

This project presents an overview of AtliQ Grands' performance in the hospitality industry using Power BI.
https://github.com/as16082023/atliq-hospitality-analysis

atliqgrand codebasicsresumeprojectchallenge data-analysis data-visualization powerbi revenueinsights

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This project presents an overview of AtliQ Grands' performance in the hospitality industry using Power BI.

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README 

        
# AtliQ-Grands-Hospitality-analysis



# Introduction

AtliQ Grands, a well-established chain of five-star hotels in India, has been a leading name in the hospitality industry for over two decades. With a strong presence in major cities such as Delhi, Mumbai, Bangalore, and Hyderabad, AtliQ Grands is known for providing luxury accommodations and exceptional service.



# Problem Statement

Despite its strong reputation, AtliQ Grands has been losing market share and revenue in the competitive luxury and business hotel segments due to competitor strategies and poor management decisions. To address this, the managing director has opted to integrate 'Business and Data Intelligence' into their operations. As they lack an internal data analytics team, AtliQ Grands has hired a third-party data analytics team to analyze their historical data and provide actionable insights to help the company regain its market position.



# Insights



- Mumbai generates the highest revenue, followed by Bangalore, Hyderabad, and Delhi.

- Make Your Trip is the leading booking platform, outperforming all others.

- Atliq Exotica and Atliq Palace lead in capacity utilization compared to other hotels in the chain.

- May experiences the highest number of bookings compared to other months.

- Atliq Blu has the highest occupancy rate, while Atliq Seasons shows the lowest.

- Elite rooms have the highest number of bookings, but also experience the most cancellations. These rooms are more popular compared to standard, premium, and presidential room types.

- Total bookings are higher on weekdays, but occupancy percentages are lower compared to weekends.

- Delhi has the highest occupancy rate, while Bangalore records the lowest.

- Revenue per available room (RevPAR) is highest in Mumbai and lowest in Hyderabad.

- The overall average rating is 3.62, with Delhi having the highest rating and Bangalore the lowest.

- Overall cancellations stand at 24.84%, with the highest cancellation rates in Delhi properties.

- The ADR (Average Daily Rate) has remained steady across all hotels, indicating a consistent pricing strategy.



# Recommendations



- Revenue Optimization: Focus on leveraging Mumbai's strong revenue performance by offering premium services or exclusive experiences.

                      For underperforming cities like Hyderabad, targeted marketing campaigns and service improvements can help boost revenue.



- City-Specific Strategies: Bangalore, with the lowest occupancy and ratings, could benefit from customer feedback analysis to address service gaps and improve overall experience.

                            For high-performing cities like Delhi, maintaining quality while offering new services can further enhance customer satisfaction.



- Peak Season Promotion: With May experiencing the highest number of bookings, consider offering special packages, incentives, and promotions during this time to further boost demand.



- Room Class Optimization: Given the popularity of Elite rooms, consider increasing availability or offering bundled packages. 

                           To reduce cancellations, implement more flexible booking policies or offer incentives to commit to reservations.



- Platform Expansion: While Make Your Trip is the leading platform in hotel booking, diversifying partnerships with other booking platforms can help attract more customers and reduce 

                      dependency on a single platform.