This title slide, labeled "Project Overview," displays the main title "Airbnb Antwerp Analytics Dashboard." The subtitle describes its focus: optimizing listings, analyzing trends, and scenario planning with Power BI.

Airbnb Antwerp Analytics Dashboard

Optimize Listings, Analyze Trends, Scenario Planning with Power BI

Source: Airbnb Antwerp Analytics Dashboard

The "Data Sources" slide outlines key data origins used in the analysis. It covers Airbnb API for listings and bookings, external sources like weather, events, and tourism data, plus internal pricing models and occupancy rates.

Data Sources

• Airbnb API: Listings & bookings data
• External: Weather, events, tourism data
• Internal: Pricing models, occupancy rates

Source: Airbnb Antwerp Analytics Dashboard

The slide outlines a four-phase workflow for Dashboard Structure: Data Ingestion from sources like Airbnb APIs and CSVs, ETL using Power Query for cleaning and validation, Power BI Model with relationships and DAX measures, and Visuals & Interactions via interactive reports with slicers and drill-through. Each phase includes a brief description and key features for modular scalability.

Dashboard Structure

{ "headers": [ "Phase", "Description", "Key Features" ], "rows": [ [ "Data Ingestion", "Gather raw data from multiple sources", "Airbnb APIs, CSV files, Automated ingestion pipelines" ], [ "ETL", "Extract, Transform, Load data", "Power Query for cleaning, aggregation, and validation" ], [ "Power BI Model", "Build semantic data model", "Relationships, DAX measures, Hierarchies" ], [ "Visuals & Interactions", "Create interactive dashboards", "Power BI reports, Slicers, Drill-through, Modular scalability" ] ] }

Source: Airbnb Antwerp Analytics Dashboard

The Overview Dashboard slide visualizes key metrics for property listings. It highlights occupancy rates and trends, revenue metrics with growth overview, and performance KPIs.

Overview Dashboard

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• Occupancy rates and trends for listings
• Revenue metrics and growth overview
• Listings performance KPIs highlighted

Source: Wikipedia

The Filters slide showcases a grid of dashboard tools like date range, location slicer for Antwerp areas, property type, price range, and host slicers. These enable custom trend analysis, targeted views, budget comparisons, performance segmentation, and real-time synchronization across all visuals.

Filters

{ "features": [ { "icon": "📅", "heading": "Date Range Filter", "description": "Select custom periods for trend analysis across the dashboard." }, { "icon": "📍", "heading": "Location Slicer", "description": "Filter by Antwerp neighborhoods or specific areas dynamically." }, { "icon": "🏠", "heading": "Property Type Filter", "description": "Choose apartments, houses, or unique stays for targeted views." }, { "icon": "💰", "heading": "Price Range Control", "description": "Adjust budgets to compare listings and occupancy rates." }, { "icon": "👤", "heading": "Host Slicers", "description": "Segment by top hosts or performance metrics hierarchically." }, { "icon": "⚡", "heading": "Dynamic Updates", "description": "Real-time filter synchronization across all visuals and pages." } ] }

Source: Airbnb Antwerp Analytics Dashboard

The "Listing Analysis" slide displays key stats for listings: an average price of €120 per night. It also shows a 75% occupancy rate in Antwerp and an average guest rating of 4.2.

Listing Analysis

• €120: Average Price

Per night across listings

• 75%: Occupancy Rate

Average utilization in Antwerp

• 4.2: Average Rating

Guest satisfaction score

The "Visuals" slide showcases data visualization options like maps and heatmaps for geographic distribution, trend lines for performance over time, and pie charts for listing distributions. It also highlights the custom Power BI visuals gallery.

Visuals

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• Maps and heatmaps for geographic distribution
• Trend lines for performance over time
• Pie charts for listing distributions
• Custom Power BI visuals gallery

Source: Airbnb Antwerp Analytics Dashboard

The slide's left column describes drilling from overview metrics to individual listing details, revealing occupancy rates, revenue trends, pricing insights, and guest reviews. The right column covers navigating from aggregate dashboards to host-specific deep dives on portfolio performance, revenue distribution, occupancy benchmarks, and optimization opportunities.

Drill-Through

Source: Airbnb Antwerp Analytics Dashboard

Scenario Insights slide highlights what-if analysis on price sensitivity, demand forecasts across occupancy scenarios, and projected revenue uplifts up to 15%. It covers optimizations balancing occupancy and ADR, visualized through interactive charts showing trade-offs.

Scenario Insights

• What-if analysis reveals price sensitivity impacts
• Demand forecasts across occupancy scenarios
• Revenue uplift projected up to 15%
• Optimizations balance occupancy and ADR
• Interactive charts visualize trade-offs

Source: Airbnb Antwerp Analytics Dashboard

The "Scenario Outputs" slide compares base and optimized scenarios across key hotel metrics. It shows improvements from the base: occupancy rate up 10% to 77%, total revenue up 15% to $1.38M, average daily rate up 4% to $125, and total bookings up 4% to 10,400.

Scenario Outputs

{ "headers": [ "Metric", "Base Scenario", "Optimized Scenario", "% Improvement" ], "rows": [ [ "Occupancy Rate", "70%", "77%", "+10%" ], [ "Total Revenue", "$1,200,000", "$1,380,000", "+15%" ], [ "Avg. Daily Rate", "$120", "$125", "+4%" ], [ "Total Bookings", "10,000", "10,400", "+4%" ] ] }

The Seasonal Multiplier timeline tracks demand fluctuations for Antwerp bookings, featuring a x1.5 peak in Summer 2022 and x0.8 dip in Winter 2022. Spring 2023 provides moderate transitional balance, while 2023 events boost multipliers beyond x1.5.

Seasonal Multiplier

Summer 2022: Peak Demand Surge Multiplier of x1.5 boosts bookings during high tourist summer season in Antwerp. Winter 2022: Off-Peak Demand Dip Winter multiplier x0.8 reflects reduced occupancy in colder months. Spring 2023: Transitional Season Balance Moderate multipliers stabilize demand between winter lows and summer peaks. Event Peak 2023: Festival and Event Boost Special multipliers exceed x1.5 during major Antwerp events and holidays.

Source: Airbnb Antwerp Analytics

The Interactivity Features slide highlights five key dashboard enhancements: Interactive Tooltips for instant insights, Custom Bookmarks for saving views, Seamless Drill-Downs for data navigation, Natural Language Q&A, and Mobile Responsive design. These tools enable intuitive hovering, quick sharing, effortless exploration, plain-English queries, and seamless functionality across all devices.

Interactivity Features

{ "features": [ { "icon": "💡", "heading": "Interactive Tooltips", "description": "Hover for instant insights and detailed metric explanations." }, { "icon": "📑", "heading": "Custom Bookmarks", "description": "Save and share specific dashboard views quickly and easily." }, { "icon": "🔍", "heading": "Seamless Drill-Downs", "description": "Navigate from summaries to granular data effortlessly." }, { "icon": "💬", "heading": "Natural Language Q&A", "description": "Ask questions in plain English for instant answers." }, { "icon": "📱", "heading": "Mobile Responsive", "description": "Full functionality optimized for all devices seamlessly." } ] }

The Data Refresh slide highlights scheduled daily refreshes using incremental loads to ensure up-to-date data and efficient performance. It also provides failure alerts and visualizes the process with a refresh cycle diagram.

Data Refresh

• Ensures up-to-date data via scheduled daily refreshes
• Utilizes incremental loads for efficient performance
• Provides alerts for any refresh failures
• Visualizes process with refresh cycle diagram

Source: Airbnb Antwerp Analytics Dashboard

The "Key Assumptions" slide lists three core premises for the analysis. It assumes 95% data accuracy, stable market conditions, and no major regulatory changes.

Key Assumptions

• Analysis assumes 95% data accuracy
• Market conditions remain stable
• No major regulatory changes expected

Source: Airbnb Antwerp Analytics Dashboard

The "Value & Outcomes" slide showcases key stats: 20% year-over-year revenue growth from insights. It also highlights 50 hours saved monthly on manual analysis and 100% stakeholder buy-in.

Value & Outcomes

• 20%: Revenue Increase

Year-over-year growth from insights

• 50: Hours Saved Monthly

Reduced manual analysis time

• 100%: Stakeholder Buy-in

Full support and alignment achieved Source: Airbnb Antwerp Dashboard

The conclusion slide highlights a powerful dashboard driving Airbnb's success in Antwerp, with plans to scale to other cities next. It ends with "Thank you! Q&A" and includes call-to-action icons plus contact info.

Conclusion

Powerful dashboard driving Airbnb Antwerp success.

Next: Scale to other cities.

Thank you! Q&A

[Call-to-action icons, contact info]