Sourcing globally consistent and occupier relevant
real estate information has remained a challenge
for most occupiers. Data sources have been
opaque, and simply establishing occupancy cost in
a given city or comparing locations often requires
downloading and compiling various documents.
Providing a global, central source of information has been
complicated by the extreme fragmentation of local practices
with regards to measuring rents or taxes. Still, most research
available to occupiers compares cost of occupation based on unit
rent (sq m/sq ft) that provides a fundamentally simplistic and
biased view on real occupier budget commitment.
Not only do occupiers need to take account of different ways
to measure space or apportion taxes to, they can’t ignore local
density practices when planning occupancy on a global basis.
In line with the increased transparency requirement of the
market, DTZ developed the Global Occupier Metrics Tool, a free
web-based tool combining market data and workplace strategy
for over 140 markets with over 100 different key performance
indicators (KPI).
The Tool has three main modules — Offices Metrics, focusing on
offices; Logistics Metrics, focusing on the industrial and logistics
sector; and Portfolio Metrics, allowing the comparison of whole
portfolios, which is currently under development and coming soon.
The Offices Metrics module covers five key areas of relevance for
occupiers and our approach to modelling total occupancy cost
is centred around each occupier’s own workplace strategy. This
therefore allows various sensitivity tests to identify the impact of
occupational standards on local occupancy costs.
Using the Global Occupier Metrics Tool provides a central
access to global occupancy data from establishing total
occupancy cost or identifying sustainability practices. It also
allows occupiers to identify how they perform against local
best practice and to test the impact of alternative occupational
standards such as agile workplace strategies.
Very impressive ballpark calculation model, user
friendly, intuitive. Excellent for running initial high
level comparative scenarios so key stakeholders
have a good general sense of cost and size impacts
of adjusting input variables in the markets covered.
USER COMMENT VIA LINKEDIN
TAMÁS POLSTER
Head of Consulting, EMEA
+32 2 629 02 58
Total occupancy cost sensitivity drivers that can be set by an occupier’s individual requirements:
Headcount
forecast
Usable area required
Lease area
X
=
Rental target
Workplace
strategy
Building type/
height
Location
primeness
Total cost of
occupancy
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24 DTZ | In Situ
