1. No category

CASE STUDY
SPEND REDUCTION
risk
e
h
t
e
Reduc outlay on
“
e
v
i
t
Objec ng and the
di
ance”
ring
n
e
t
of floo
n
monito ards
i
n
e
a
e
b
ve
ew
ge m
ent ha
d the r
epartm have reape
d
s
y
draina
a
hw
and
ncil hig
e 2008
c
ou
GIS sin
unty C
ata for
hire Co ing through
s
p
m
a
e GIS d cussed
n
h
H
a
t
le
e
c
s
u
fo
ully
g.
was to
. They
their g sed plannin
rtant it g knowledge
o
a
p
b
S
im
I
G
ow
rin
of
nd sha
knew h
hways sessments a
ig
H
e
as
hir
Hamps lanning, risk liefs;
e
p
b
e
e
r
im
o
aning
reg
ntory
ing c
w
o
ll
o
ture cle
f
d inve
a
fu
e
o
h
n
s
r
t
n
la
d
n
p
o
an
to
locatio
stions
g asset
curate
ral que
existin
u
t
h
c
l Ac
u
it
r
t
w
g
ds
rrelatin
ition an
ts
l Co
ht cond
ig
r
e
iremen
h
s requ
king t
s
s
e
A
c
,
c
a
l
ding
S team that
the GI
ta
erstan
a
d
h
m
d
n
e
it
f
t
U
s
o
w
d
n
sy
l
gratio
worke
that
elop a
sy inte
twistle e field to dev ond to none
n
E
,
k
l Ea
r
Ma
egimes
e sec
in th
servic to produce r
onTech e engineers
b
a
r
s
a
a
a
nd th
er of K
esult w ogrammes
Found managers a s. The end r
pr
t
d
c
tware
e
icing.
f
a
e
o
nd s
contr
d invo
ncil n
a
e
u
t
o
ire
ls
a
c
il
m
e
k
th
ampsh
auto
r of s
suited
lped H 500,000
e
numbe dicators and
h
a
s
n
it
o
tch p
and £
called ormance In
and ca
11-12
rf
gullies l clean in 20
e
Key Pe
h
t
t in
cyclica
itor sil
o mon ,000 off their
t
ents
S
I
G
400
ding ev
o
Using
£
o
t
fl
u
t
c
tha
ays
eriod.
sured
Highw
ime en e over this p
g
e
2-13.
r
1
0
g
2
s
e
nin
ea
in
ke plac
ed clea did not incr
ds bas
d
oubt ta tions
e
d
n
e
e
o
n
p
n
s
a
l
ing
wil
g to
ide solu
e data
Movin rgency clean
to prov
use th
d
e
o
n
t
a
m
t
e
h
s
d
e
b
an
e on
on how
ech ar
pment d KaarbonT
lo
e
v
a in a
e
an
rd
set dat
s
a
e
Furthe coming year
r
tu
e
ou cap
over th quired.
help y
n
a
c
e
e
r
ww
where
see ho
now to
h
c
e
T
arbon
Call Ka ctive way.
e
f
f
cost e
KaarbonTech
SURVEYING
facebook/KaarbonTech
www.twitter.com/KaarbonTech
[email protected]
0800 804 8844
www.kaarbontech.co.uk