Situation: Airbnb wanted a better understanding of pricing trends, customer demand, and booking patterns across different locations.
Task: The objective was to develop a Power BI dashboard that visualized key Airbnb metrics such as average prices, occupancy rates, and revenue trends.
Action:
- Imported and cleaned Airbnb data, ensuring accurate calculations of price per night, occupancy rates, and seasonal trends.
- Created an interactive dashboard with filters for cities, property types, and booking dates.
- Used advanced DAX calculations to analyze revenue trends and forecast demand.
Result:
- Enabled property owners to set competitive pricing based on demand patterns.
- Helped Airbnb managers optimize property listings and marketing strategies.
- Improved revenue forecasting by identifying peak seasons and low-demand periods.

Airbnb Case Study