Ambururu Resort Revenue Forecasting

The Challenge

Ambururu Waterfall Resort in Siaya, Kenya, needed data-driven insights to optimize their booking strategy and maximize revenue during peak seasons.

Solution Overview

1. Data Integration

• Connected multiple data sources (booking systems, weather data, local events)
• Created a unified data warehouse using SQL
• Implemented automated data refresh processes

2. Dashboard Development

Built comprehensive Tableau dashboards featuring:

• Real-time booking analytics
• Revenue forecasting models
• Customer segmentation analysis
• Seasonal trend analysis

3. Key Visualizations

-- Revenue by season query
SELECT 
    EXTRACT(QUARTER FROM booking_date) as season,
    COUNT(*) as bookings,
    SUM(total_amount) as revenue,
    AVG(total_amount) as avg_booking_value
FROM bookings 
WHERE booking_date >= '2024-01-01'
GROUP BY EXTRACT(QUARTER FROM booking_date)
ORDER BY season;

Key Features

• Predictive Analytics: Forecast demand based on historical patterns
• Customer Insights: Identify high-value customer segments
• Operational Metrics: Track occupancy rates and revenue per room
• Marketing ROI: Measure campaign effectiveness

Results Achieved

• $1M+ revenue increase in first year
• 25% boost in bookings through optimized pricing
• 10K+ new visitors attracted through data-driven marketing
• Real-time decision making enabled for management

Technical Implementation

The solution included:

• Automated ETL pipelines
• Interactive Tableau dashboards
• Mobile-responsive design
• Real-time data updates

This project demonstrated how effective data visualization can transform business operations and drive significant revenue growth.