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Resources · Case Studies

Data that drives decisions.

A selection of how Arealytics data is being used by investors, agencies, lenders, and government to make better property decisions across Australia.

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Updated weekly
ASX-listed REIT

Reallocating $180M of capital across a 214-asset portfolio.

A mid-cap REIT used our Ownership and Property Universe to independently benchmark every asset in their portfolio against a peer universe. Our data surfaced $180M of latent underperformance concentrated in three submarkets, enabling a disposal program that recycled capital into higher-momentum locations.

214
Assets benchmarked
$180M
Underperformance identified
+72bps
Portfolio yield post-reallocation
Capital reallocated
$180M
REIT · Portfolio analytics
Sites opened without a miss
47
Commercial Agency · Site selection
National commercial agency

Selecting 47 new locations without a miss.

A national commercial agency used our Occupier Details and Sales Records to build a defensible site-score model for their client's new-store pipeline. The model was calibrated against 11 years of historical performance data, then run against 340 candidate sites. Every location opened under the model hit its 12-month budget.

47
Locations selected
+18.4%
Year-one performance vs prior cohort
0
Sites that missed budget
Major Australian bank

Automating commercial property valuations at scale.

A major lender integrated our Property Universe and Sales Records via API to power automated valuation models across their commercial lending book. The integration reduced manual valuation turnaround from 5 days to same-day for standard assets, while improving risk coverage across the portfolio.

12K+
Assets assessed per month
−85%
Valuation turnaround time
API
Direct data integration
Valuation time reduction
−85%
Banking · Lending analytics
Horizon year
2041
Government · Planning
State government

A 2041 population & infrastructure model for a growth corridor.

A state planning agency used our Property Universe and Ownership Information to model population, dwelling demand, and infrastructure capacity out to 2041 across three migration and housing scenarios. The resulting scenario engine is now referenced in three public planning documents and updated annually with our data feeds.

3
Scenarios modelled
42
SA2s in the model
2041
Planning horizon
Client perspective
"Arealytics gave us a single, trusted view of ownership and transaction history across our entire lending book. It changed how we think about portfolio risk."
Head of Commercial Credit · Major Australian bank
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