Savills - Smart Data - Esri UK Annual Conference 2017

1. Savills GIS
Robert Allcock
22 May 2017

2. About Savills
2
Savills advises corporate, institutional
and private clients seeking to acquire,
lease, develop or realise the value of
prime residential and commercial
property in the world’s key locations.
Savills operates from
over 700 owned and
associated offices,
employing more than
30,000 people in over
60 countries. 5,663
136
Offices
Employees
85
273
Offices
Employees
806
105
Offices
Employees
26,241
66Offices
Employees
690
64Offices
Employees

3. Rural Division
3

4. GIS clients include
4
And very many other individual clients

5. The story
Taking a manual, labour intensive process
Using a GIS process to make it extremely efficient
5

6. The story
6
Manage 68 properties
around the UK
Part of the contract
includes monitoring of
planning applications
Reporting on those
applications that would
affect DIO

7. Monitoring and reporting
on all applications within
a 2km of a DIO property
which can cause
concern to the clients
operations
7

8. 68 DIO properties Savills management areas DIO management areas

9. Original system
9
6 offices
12 staff
1 – 2 days per
week per person
Manual search
procedure
Report fortnightly
to DIO

10. Improve speed of service
Streamline system
Remove human error
Reduce costs
How can a GIS based solution benefit this service?
10

11. Goal is to
11
Supply to each Savills
management office
The selected planning applications
must be classified and grouped into:
The DIO
property
affected
The
responsible
Savills
Office
The DIO
administration
area
Shown in
the correct
location
All details to
be available

12. How do we do this?
Determine which Local
Authorities data is required
from
Find a consistent regular,
reliable planning application
data source
Create a geographic process
to give the required output
12

13. Determine which Local Authorities data is required from

14. Weekly data screen scrape of all councils
Consolidate to a standard format
Excel file 8,000 – 9,000 records weekly
How do I get this data?
14

15. How do I get this data?
15

16. Process requirements
16
Select applications in target areas
DIO property name
Distance from Boundary
Savills Office /region
DIO administration area

18. Data accuracy
18
An accurate site location
for each planning application
is CRITICAL

19. Location error check process
19
Variable
for output
names
Input
Data
Calculate
distance
from
application
to
postcode
Create
buffers of
the
location
errors
Select DIO
properties
that
intersect
errors
Join to
postcode
layer
Map
symbols
for
resulting
layers
Add
fields

20. Error check result
20
DIO properties affected - blue
Each error’s attributes have the planning application
information
Manual check
Wrong letter in postcode
Duplicated X , Y Coordinate
One or two digit error during input of coordinate figures

21. 21

22. Selection process
22
Variable
for output
names
Planning
application
table
Excel files
for each
region
DIO
properties
and 2km
search
area
Savills
and DIO
admin
areas
Spatial
joins and
selections
output
layers
All applications within
target areas
All solar and wind
applications in Council areas
Selection
wind
power
and solar
arrays

23. Results
23
Model builder process results mean:
Attributes in the planning
applications now have the:
 Name of the property
 Distance within and from
the property
 Savills admin region
 DIO admin region
We can now generate overview maps
using data driven page maps:
 National
 Savills areas
 Map for each managed DIO property

24. National overview for the Savills contract manager
24

25. Data driven pages regional maps
25

26. Data driven pages property maps
26

27. Excel file for each Savills office
27

28. Result
28
No manual searching,
saving 800 – 900
working days per year
 Local office time is
around ½ hour per week
 Agents can follow up
and report directly on the
relevant applications
 Client receives the same
service (weekly instead
of fortnightly)

29. Thank you