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https://github.com/sajalvats/python-hotel-data-analytics

AtliQ Grand Hotels is facing severe challenges from its competitors and is losing market share and revenue. The management wants to implement data-informed decision-making to increase their revenue
https://github.com/sajalvats/python-hotel-data-analytics

jupyter-notebook pandas pandas-dataframe pycharm python

Last synced: 4 days ago
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AtliQ Grand Hotels is facing severe challenges from its competitors and is losing market share and revenue. The management wants to implement data-informed decision-making to increase their revenue

Host: GitHub
URL: https://github.com/sajalvats/python-hotel-data-analytics
Owner: SajalVats
Created: 2024-06-17T12:49:59.000Z (6 months ago)
Default Branch: main
Last Pushed: 2024-06-17T13:45:41.000Z (6 months ago)
Last Synced: 2024-10-31T14:23:29.534Z (about 2 months ago)
Topics: jupyter-notebook, pandas, pandas-dataframe, pycharm, python
Homepage:
Size: 1.83 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

# Hotel Data Analytics Project Using Python Pandas

## AtliQ Grand Hotel

AtliQ Grand Hotel has a chain of hotels in 4 Indian cities: Delhi, Mumbai, Bangalore, and Hyderabad. They offer various types of hotels and segments of rooms. Bookings occur either through AtliQ's own website or via third-party websites.

![Hotel Types](https://github.com/SajalVats/Python-Hotel-Data-Analytics/blob/main/Types%20of%20Hotels.png)
![Hotel Rooms](https://github.com/SajalVats/Python-Hotel-Data-Analytics/blob/main/Types%20of%20Rooms.png)

### Problem Statement

AtliQ Grand is facing severe challenges from its competitors and is losing market share and revenue. The management wants to implement data-informed decision-making to increase their revenue.

We will not perform the analysis on the Booking database (OLTP) as it may interfere with its operations. Using ETL, we will create a Data Warehouse (OLAP) to perform the analysis.

![Analytics Process](https://github.com/SajalVats/Python-Hotel-Data-Analytics/blob/main/Steps%20in%20Analytics.png)

### Analytics Approach

The steps involved in the project include:

- Understand the business problem
- Data collection & understanding
- Data cleaning & exploration
- Data transformation

![Steps Involved](https://github.com/SajalVats/Python-Hotel-Data-Analytics/blob/main/OLAP%20Data%20Warehouse.png)

### Project Insights

The project outcome would involve gaining insights on metrics such as:

- Occupancy %
- Profit per city
- Loss-making segments
- Month-wise variations
- Revenue per booking platform