Travel data often remains underutilized due to static reports and lack of interactivity.
This project transforms raw travel survey data into a dynamic, insight-driven Power BI dashboard that helps understand travel patterns, budget utilization, seasonal trends, and traveler satisfaction.
Provided a Quick-access links to LinkedIn profile, GitHub repository, and project dataset are provided for reference.
The dashboard is designed to support **data-driven decision-making** through visually rich and interactive analytics.
The Travel Insights & Budget Analysis Dashboard provides a comprehensive analysis of travel behavior using Power BI.
It enables users to explore how travelers plan trips, spend budgets, choose destinations, and rate their experiences across different seasons and travel modes.
This project focuses on storytelling through data by combining KPIs, trends, geographic analysis, and customer satisfaction metrics.
- Analyze travel patterns across months, seasons, and travel modes
- Understand budget utilization and trip cost variations
- Evaluate traveler satisfaction using rating-based visuals
- Identify popular destinations and traveler preferences
- Provide trend-based and forecast-driven insights for future planning
- Executive Overview Dashboard with key KPIs
- Trend Analysis (2D) showing seasonal and monthly travel behavior
- Geographic & Hierarchical Analysis (3D) for destinations and journeys
- Interactive slicers for month, season, gender, and travel mode
- Custom DAX measures for budget utilization and averages
- Star-based rating visuals to analyze customer satisfaction
Provides a quick snapshot of key metrics such as:
- Total number of trips
- Average travel budget
- Trip duration
- Overall satisfaction score
- Monthly and seasonal travel trends
- Budget variations over time
- Forecast-based insights for future travel behavior
- Destination popularity across regions
- Travel behavior based on occupation and trip type
- Hierarchical and map-based visual exploration
- Power BI Desktop
- DAX (Data Analysis Expressions)
- Microsoft Excel (Data Source)
PowerBITripdataProject.pbix– Power BI dashboard filetripdatabi.xlsx– Source dataset
- Download the
.pbixfile - Open it using Power BI Desktop
- Enable map visuals if prompted (for geographic insights)
- Use slicers and filters to interact with the dashboard
- Explore insights across different dimensions
- Hands-on experience with Power BI dashboard design
- Practical implementation of DAX calculations
- Improved understanding of data storytelling and visualization
- Exposure to real-world business analytics scenarios
Srujana Addanki
Aspiring Data Analyst | Power BI | Data Visualization
🔗 LinkedIn, GitHub, and dataset links are included for transparency and reference.
⭐ If you find this dashboard useful, feel free to star the repository!