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A multi-dashboard interactive report developed to analyze sales trends, customer behavior, and agent performance for a travel agency, aiming to optimize package offerings, enhance sales strategies, and drive total revenue.
The Business Problem & Goal
The travel agency needed comprehensive visibility into their operations to identify the most profitable packages, top-performing agents, and popular destinations. The goal was to analyze over 2,000 bookings to maximize the total revenue (Revenue: 8.9M unit) and improve customer retention by understanding membership levels.
Data Cleaning, Modeling, and Multi-Dashboard Reporting:
Data Cleaning, Modeling, and Multi-Dashboard Reporting:
Data Model:
Created a relational data model linking Customers, Bookings, and Destinations to enable holistic analysis across different data points.
Analytical Toolset:
The project utilized Excel/Power Query for data transformation and advanced Pivot Tables to calculate key metrics by month, package type, and agent.
KPIs Developed:
Four key dashboards were developed: Overview, Booking, Customer Trend, and Agent Performance.
The Interactive Solution (Full Dashboard Demo)
A set of interconnected dashboards provides detailed views on all aspects of the business, allowing stakeholders to track revenue over time, analyze package type profitability, and monitor individual agent performance.
The Interactive Solution (Full Dashboard Demo)
A set of interconnected dashboards provides detailed views on all aspects of the business, allowing stakeholders to track revenue over time, analyze package type profitability, and monitor individual agent performance.
Key Insights & Findings
Key Insights & Findings
Most Profitable Package:
The Luxury Package was the highest revenue generator, achieving sales worth 2,424,822 units, indicating a strong customer willingness to pay for premium services.
Top Performing Agent:
Agent Michael Lee was the top sales performer, generating a total revenue of 2,051,612 units, highlighting the need to analyze his methodologies for team-wide training.
Preferred Payment Method:
PayPal was the most preferred payment method, accounting for 2,435,508 units in total revenue, followed closely by Credit Card.
Business Impact & Conclusion
This multi-dashboard analysis provided the travel agency leadership with granular control and deep insight into sales and operational efficiency. The project enabled the business to:
Business Impact & Conclusion
This multi-dashboard analysis provided the travel agency leadership with granular control and deep insight into sales and operational efficiency. The project enabled the business to:
Boost Revenue: Strategic focus was shifted to promoting Luxury Packages and optimizing marketing efforts in high-revenue regions (United States, France).
Improve Agent Performance: Identified top performers (Michael Lee) to create training programs and new operating models to enhance the performance of other agents, contributing to the increase in total bookings (2,000).
Enhance Customer Loyalty: Analyzing customer trends and membership levels helped in customizing promotional offers to improve retention and lifetime value.
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