This project delves into the comprehensive analysis of revenue and booking data from Atliq Hospitality, covering various dimensions such as property type, room category, booking platform, and booking status. The analysis provides valuable insights into the performance of different properties, revenue trends, and factors contributing to revenue loss.
The dataset provides comprehensive insights into Atliq Hospitality's operations, covering revenue, bookings, room categories, property details, and booking statuses. Key metrics include revenue, occupancy, cancellations, and booking success rates across various dimensions.
The analysis has been categorized into the following sections:
The tooltip feature in the "Loss Analytics" and "Seasonal Trendz" reports provides a quick and interactive way to gain insights into revenue metrics. By hovering over any visual in these reports, you can instantly view both the overall generated revenue and the corresponding loss revenue. This functionality allows users to efficiently analyze and compare revenue figures across different dimensions such as property name, room category, and time periods without navigating through multiple charts. This tool enhances data exploration by making key financial metrics easily accessible at a glance.
Note : This Tooltip is added for all charts in Both Seasional Trendz and Loss Analytics
We welcome contributions to enhance the analysis or add new insights. Please fork the repository and create a pull request with your proposed changes.
This project is licensed under the MIT License - see the LICENSE file for details.