https://github.com/akashash01/hospitality_analysis

Calculated and analyzed the key metrics of Hospitality data using My SQL.
https://github.com/akashash01/hospitality_analysis

datanalaysis excel hospitality-analysis kpi mysql

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Calculated and analyzed the key metrics of Hospitality data using My SQL.

• Host: GitHub
• URL: https://github.com/akashash01/hospitality_analysis
• Owner: Akashash01
• Created: 2024-11-19T12:29:28.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-11-19T12:41:17.000Z (about 1 month ago)
• Last Synced: 2024-11-19T13:35:36.275Z (about 1 month ago)
• Topics: datanalaysis, excel, hospitality-analysis, kpi, mysql
• Homepage:
• Size: 1.79 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Hospitality_Analysis

Calculated and analyzed the key metrics of Hospitality data using My SQL.

# Description

Hospitality Bookings Data Analysis challenge from Code Basics. 

📊 Comprehensive Metrics Calculations

Analyzed overall bookings, revenue generated, loss due to cancellations and no-shows, and successful check-ins.

Calculated average customer ratings across multiple criteria such as service, cleanliness, and amenities.

📈 Weekly Insights and Trends

Conducted Week-over-Week (WoW) analysis to identify booking trends, peak periods, and seasonality patterns.

Assessed customer behavior to uncover the impact of cancellations, no-shows, and refund policies on revenue.

🔍 Cancellation and No-Show Insights

Highlighted high cancellation rates (X%) and no-show percentages (Y%), identifying specific customer groups and booking sources with recurring patterns.

💡 Key Recommendations

📍Dynamic Pricing: Introduce flexible pricing models based on demand to attract more customers during off-peak periods.

📍Optimized Cancellation Policy: Implement partial refund options and stricter policies to reduce losses from cancellations.

📍Loyalty Programs: Develop rewards for frequent bookers and returning customers to improve retention.

📍Enhanced Customer Experience: Focus on improving key areas with low ratings, like check-in efficiency and room amenities.

📍Marketing Strategy: Use targeted campaigns on high-performing channels to boost bookings during slow weeks.