High Level Design
Overview
When offering an apartment for rent, a market understanding is highly valuable in order to maximize your profit. Insights about your approximated income, popular locations, appearance and weekdays can drive your decision.
Goals
Maximize profit by understanding the market’s trends and offering an apartment in the most popular location, days and best price.
Objectives
- Maximize income by understanding the market’s rental preferences.
- Maximize booking by understanding the current market trends, price and what is considered as an appealing apartment
KPIs Architecture
Objectives |
KPIs |
Measures |
Data Source |
Maximize income by understanding the market’s rental preferences |
Median Price |
Median (Price) |
Listings Detailed.csv |
Growth (median price) |
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Median Income |
Median (# Bookings * Price for each listing) |
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Growth (# Bookings * Price for each listing) |
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Neighborhoods by Number of Bookings and Income |
Top 5 Neighborhoods by Median Price. Break by number of bookings for each Room Type (Entire Room, Private Room, Shared Room) |
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# of Bookings by Income and Weekdays |
Max (number of bookings) for each weekday |
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Median (# Bookings * Price for each listing) |
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Maximize booking by understanding the current market trends, price and what is considered as an appealing apartment |
# Monthly Availability (Nights) |
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AVG (availability of 30 days) |
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Growth (availability of 30 days) |
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# of Listings Current available listings |
Count (listings) |
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Growth (# number of listings) |
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# Listings Over Years |
# of listings by Years |
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# Bookings |
# of Bookings by Months |
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10 Most Booked Properties |
# of Bookings Please note that this KPI is linked to Airbnb apartments as an example only. The dashboard’s KPIs are not related to Airbnb. |
Plugins & Scripts used
- BloX
- Hide Widget Titles
- Sisense Quest
- Card view customization
- Conditionally Format Secondary Value With Up / Down Arrows