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Leg
al D
iscl
aim
erT
his
Pre
sent
atio
n co
ntai
ns fo
rwar
d-lo
okin
g st
atem
ents
, inc
ludi
ng, b
ut n
ot li
mite
d to
, sta
tem
ents
reg
ardi
ng th
e va
lue
and
effe
ctiv
enes
s of
Qlik
Tec
h's
prod
ucts
, the
intr
oduc
tion
of p
rodu
ct e
nhan
cem
ents
or
addi
tiona
l pro
duct
s an
d Q
likT
ech'
s gr
owth
, ex
pans
ion
and
mar
ket l
eade
rshi
p, th
at in
volv
e ris
ks, u
ncer
tain
ties,
ass
umpt
ions
and
oth
er fa
ctor
s w
hich
, if t
hey
do n
ot
mat
eria
lize
or p
rove
cor
rect
, cou
ld c
ause
Qlik
Tec
h's
resu
lts to
diff
er m
ater
ially
from
thos
e ex
pres
sed
or im
plie
d by
suc
h fo
rwar
d-lo
okin
g st
atem
ents
. A
ll st
atem
ents
, oth
er th
an s
tate
men
ts o
f his
toric
al fa
ct, a
re s
tate
men
ts th
at c
ould
be
deem
ed
forw
ard-
look
ing
stat
emen
ts, i
nclu
ding
sta
tem
ents
con
tain
ing
the
wor
ds "
pred
icts
," "
plan
," "
expe
cts,
" "a
ntic
ipat
es,"
"be
lieve
s,"
"goa
l," "
targ
et,"
"es
timat
e,"
"pot
entia
l," "
may
", "
will
," "
mig
ht,"
"co
uld,
" an
d si
mila
r w
ords
. Q
likT
ech
inte
nds
all s
uch
forw
ard-
look
ing
stat
emen
ts to
be
cove
red
by th
e sa
fe h
arbo
r pr
ovis
ions
for
forw
ard-
look
ing
stat
emen
ts c
onta
ined
in S
ectio
n 21
E o
f th
e E
xcha
nge
Act
and
the
Priv
ate
Sec
uriti
es L
itiga
tion
Ref
orm
Act
of 1
995.
Act
ual r
esul
ts m
ay d
iffer
mat
eria
lly fr
om th
ose
proj
ecte
d in
suc
h st
atem
ents
due
to v
ario
us fa
ctor
s, in
clud
ing
but n
ot li
mite
d to
: ris
ks a
nd u
ncer
tain
ties
inhe
rent
in o
ur
busi
ness
; our
abi
lity
to a
ttrac
t new
cus
tom
ers
and
reta
in e
xist
ing
cust
omer
s; o
ur a
bilit
y to
eff
ectiv
ely
sell,
ser
vice
and
sup
port
ou
r pr
oduc
ts; o
ur a
bilit
y to
man
age
our
inte
rnat
iona
l ope
ratio
ns; o
ur a
bilit
y to
com
pete
eff
ectiv
ely;
our
abi
lity
to d
evel
op a
ndin
trod
uce
new
pro
duct
s an
d ad
d-on
s or
enh
ance
men
ts to
exi
stin
g pr
oduc
ts; o
ur a
bilit
y to
con
tinue
to p
rom
ote
and
mai
ntai
n ou
r br
and
in a
cos
t-ef
fect
ive
man
ner;
our
abi
lity
to m
anag
e gr
owth
; our
abi
lity
to a
ttrac
t and
ret
ain
key
pers
onne
l; th
e sc
ope
and
valid
ity o
f int
elle
ctua
l pro
pert
y rig
hts
appl
icab
le to
our
pro
duct
s; a
dver
se e
cono
mic
con
ditio
ns in
gen
eral
and
adv
erse
ec
onom
ic c
ondi
tions
spe
cific
ally
aff
ectin
g th
e m
arke
ts in
whi
ch w
e op
erat
e; a
nd o
ther
ris
ks m
ore
fully
des
crib
ed in
Qlik
Tec
h's
publ
icly
ava
ilabl
e fil
ings
with
the
Sec
uriti
es a
nd E
xcha
nge
Com
mis
sion
. P
ast p
erfo
rman
ce is
not
nec
essa
rily
indi
cativ
e of
fu
ture
res
ults
. T
he fo
rwar
d-lo
okin
g st
atem
ents
incl
uded
in th
is p
rese
ntat
ion
repr
esen
t Qlik
Tec
h's
view
s as
of t
he d
ate
of th
is
pres
enta
tion.
Qlik
Tec
h an
ticip
ates
that
sub
sequ
ent e
vent
s an
d de
velo
pmen
ts w
ill c
ause
its
view
s to
cha
nge.
Qlik
Tec
h un
dert
akes
no
inte
ntio
n or
obl
igat
ion
to u
pdat
e or
rev
ise
any
forw
ard-
look
ing
stat
emen
ts, w
heth
er a
s a
resu
lt of
new
in
form
atio
n, fu
ture
eve
nts
or o
ther
wis
e. T
hese
forw
ard-
look
ing
stat
emen
ts s
houl
d no
t be
relie
d up
on a
s re
pres
entin
g Q
likT
ech'
s vi
ews
as o
f any
dat
e su
bseq
uent
to th
e da
te o
f thi
s pr
esen
tatio
n.
Thi
s P
rese
ntat
ion
shou
ld b
e re
ad in
con
junc
tion
with
Qlik
Tec
h's
perio
dic
repo
rts
filed
with
the
SE
C (
SE
C In
form
atio
n),
incl
udin
g th
e di
sclo
sure
s th
erei
n of
cer
tain
fact
ors
whi
ch m
ay a
ffec
t Qlik
Tec
h’s
futu
re p
erfo
rman
ce. I
ndiv
idua
l sta
tem
ents
ap
pear
ing
in th
is P
rese
ntat
ion
are
inte
nded
to b
e re
ad in
con
junc
tion
with
and
in th
e co
ntex
t of t
he c
ompl
ete
SE
C In
form
atio
ndo
cum
ents
in w
hich
they
app
ear,
rat
her
than
as
stan
d-al
one
stat
emen
ts.
© 2
012
Qlik
Tec
hnol
ogie
s In
c. A
ll rig
hts
rese
rved
. Qlik
Tec
h an
d Q
likV
iew
are
trad
emar
ks o
r re
gist
ered
trad
emar
ks o
f Qlik
T
echn
olog
ies
Inc.
or
its s
ubsi
diar
ies
in th
e U
.S. a
nd o
ther
cou
ntrie
s. O
ther
com
pany
nam
es, p
rodu
ct n
ames
and
com
pany
lo
gos
men
tione
d he
rein
are
the
trad
emar
ks, o
r re
gist
ered
trad
emar
ks o
f the
ir ow
ners
.
Ag
end
a
Intr
od
uct
ion
Arc
hit
ectu
re a
nd
ben
efit
s o
f th
e Q
likV
iew
Co
nn
ecto
r
Ove
rvie
w e
xtra
ctio
n fr
om
SA
P E
CC
6.0
(S
QL
con
nec
tor)
Dem
o t
oo
ls t
hat
co
me
wit
h t
he
con
nec
tor
(Scr
ipt
Bu
ilder
A
pp
licat
ion
)
Ove
rvie
w e
xtra
ctio
n fr
om
BW
/BI 7
.0 (
MD
X c
on
nec
tor)
Sec
uri
ty
Bes
t P
ract
ices
Co
mm
on
Dat
a W
areh
ou
se C
hal
len
ges
Cos
tly
Per
form
ance
Ind
ust
ry A
vera
ge
Dep
loym
ent:
17
Mo
nth
s
Ind
ust
ry A
vera
ge
Ap
p C
reat
ion
: 5
Mo
nth
s
Serv
ices
Cos
t
$500
K$4
00K
$300
K$2
00K
$100
K $0
Long
Tim
e to
Get
Res
ults
SAP
BW
Cog
nos
Bus
ines
sO
bjec
ts
Dat
a in
Mul
tiple
For
mat
s
BA
RC
BI
Surv
ey 9
Info
Wor
ld &
ID
C B
I Su
rvey
Qu
ery
Per
form
.
Bu
sin
ess
Dis
cove
ry:
Bu
sin
ess
Use
r-D
rive
n B
I
Insi
gh
tE
very
wh
ere
Ap
p M
od
elR
emix
abili
ty
and
Rea
ssem
bly
So
cial
an
d
Co
llab
ora
tive
Mo
bili
ty
Fina
nce
HR
Sale
s
Mar
ketin
g
IT
Pro
duct
ion
ST
AC
K
VE
ND
OR
BI
•M
anag
ed
repo
rtin
g
EN
D U
SE
R•
Pre
-cal
cula
ted
dash
boar
ds
OP
ER
AT
ION
AL
DA
TA
SO
UR
CE
S
IT D
EP
AR
TM
EN
T
RE
PO
RT-
CE
NT
RIC
AR
CH
ITE
CT
UR
E(I
T-d
rive
n, t
igh
tly
con
tro
lled
)
IT R
OL
E•
Dat
a pr
epar
atio
n an
dgo
vern
ance
+•
Res
pons
ible
for
build
ing
all t
he
anal
yses
Th
e E
volv
ing
BI L
and
scap
e
Th
e E
volv
ing
BI L
and
scap
e an
d IT
’s C
han
gin
g R
ole
ST
AC
K
VE
ND
OR
BI
•M
anag
ed
repo
rtin
gIT
RO
LE
•D
ata
prep
arat
ion
and
gove
rnan
ce
+•
Ena
ble
busi
ness
us
ers
to c
reat
eth
eir
own
anal
yses
IT R
OL
E•
Dat
a pr
epar
atio
n an
dgo
vern
ance
+•
Res
pons
ible
for
build
ing
all t
he
anal
yses
EN
D U
SE
R•
Pre
-cal
cula
ted
dash
boar
ds
BU
SIN
ES
S U
SE
R
•S
elf-
serv
ice
anal
ysis
•C
reat
e an
alys
is
rele
vant
to s
peci
fic
busi
ness
pro
blem
s
•C
hang
e an
alys
is
on th
e fly
QL
IKV
IEW
•D
ynam
ic
dash
boar
ds
•S
earc
h liv
e da
ta
•A
ny d
evic
e
OP
ER
AT
ION
AL
DA
TA
SO
UR
CE
S
IT D
EP
AR
TM
EN
T
RE
PO
RT-
CE
NT
RIC
AR
CH
ITE
CT
UR
E(I
T-d
rive
n, t
igh
tly
con
tro
lled
)B
US
INE
SS
DIS
CO
VE
RY
AR
CH
ITE
CT
UR
E(B
usi
nes
s u
ser-
dri
ven
, sel
f-se
rvic
e)
SA
P B
I as
Mai
n D
ata
War
eho
use
Po
ten
tial
Ch
alle
ng
es :
•H
ard
to in
tegr
ate
non-
SA
P d
ata
•W
eakn
esse
s in
man
agin
g la
rge
data
vol
umes
•C
ompl
ex in
terf
aces
for
third
-par
ty
prod
ucts
•P
oor
perf
orm
ance
•C
ostly
to a
chie
ve
•C
ompl
ex to
use
•N
o se
lf se
rvic
e
Mak
ing
th
e C
om
ple
x S
imp
le
•C
onso
lidat
es in
form
atio
nra
pidl
y fr
om S
AP
BI,
SA
P R
/3 o
r an
y ot
her
data
sou
rce
•S
earc
h an
d an
alyz
e da
ta w
ithG
oogl
e-lik
e ea
se a
nd s
peed
•Tr
ue s
elf-
serv
ice
BI
•R
apid
dev
elop
men
t of
new
app
licat
ions
Co
nn
ect
to A
dd
Val
ue
Qlik
Vie
wC
on
nec
tor
for
use
w
ith
SA
P N
etw
eave
r®
•E
nabl
es S
AP
cus
tom
ers
to
get
easy
and
qui
ck a
cces
s to
al
l the
dat
a hi
dden
in d
iffer
ent
SA
P s
yste
ms
•S
AP
dat
a ca
n th
en e
asily
be
com
bine
d w
ith N
on-S
AP
dat
a w
ithin
indi
vidu
al Q
V-a
naly
tical
ap
plic
atio
ns
•C
reat
es v
alue
out
of S
AP
sy
stem
s w
ithin
a fe
w w
eeks
–ra
ther
than
mon
ths/
year
s
•C
ertif
ied
by S
AP
•S
AP
bec
omes
a “
stan
dard
” da
ta s
ourc
e fo
r Q
V D
evel
opm
ent
•7
conn
ecto
rs, S
QL
base
d an
d M
DX
bas
ed (
for
BW
info
cu
bes/
quer
ies)
Rem
ote
Fu
nct
ion
Cal
l co
nn
ecti
on
to
SA
P
•O
pens
the
door
for
quic
k an
d ea
sy d
evel
opm
ent
of a
ny k
ind
of
anal
ytic
al
appl
icat
ion
with
in Q
likV
iew
Pro
vid
es Q
likV
iew
Scr
ipt
Bu
ilder
Ap
plic
atio
n
•R
eads
Clu
ster
, Poo
l and
Tra
nspa
rent
tabl
es•
Incl
udin
g S
AP
Met
adat
a•
Ext
ract
s ta
bles
/vie
ws
from
SA
P (
stan
dard
or
cust
om Z
* an
d Y
*)•
Ext
ract
s B
W in
fo c
ubes
/BE
X q
uerie
s or
OD
S/D
SO
•E
xtra
cts
from
SA
P q
uerie
s
Rea
ds
SA
P d
ata
dic
tio
nar
y
•In
itial
cer
tific
atio
n D
ecem
ber
2006
•R
ecer
tifie
d A
pril
2009
Co
mp
atib
le w
ith
R/3
>=
4.6C
an
d B
W >
= 3.
1
Wh
at is
th
e Q
likvi
ew C
on
nec
tor
?
EX
CE
LS
QL
SA
PE
RP
OR
AC
LE
SA
LE
SF
OR
CE
DA
TA
WA
RE
HO
US
EIN
FO
RM
AT
ICA
Fin
ance
Mar
ketin
g
Sal
esO
pera
tions
Presentation
QL
IKV
IEW
WE
BS
ER
VE
RB
US
INE
SS
DIS
CO
VE
RY
AP
PS
Application
QL
IKV
IEW
PU
BL
ISH
ER
BU
SIN
ES
S U
SE
RS
IT A
dmin
s
QV
W; Q
VD
file
s
Win
dow
s B
ased
F
ile S
hare
(O
ptio
nal)
Cus
tom
con
nect
ors;
OD
BC
; O
LED
B; Q
VX
; XM
LT
hird
-Par
ty
Inte
grat
ion:
•In
form
atic
a•
Del
l•
Boo
mi
•S
ybas
e•
Goo
gle
Big
Que
ry•
and
man
y m
ore…
Sec
urity
In
tegr
atio
n:
•W
indo
ws
Ser
ver
•T
ivol
i Sof
twar
e•
IBM
OP
ER
AT
ION
AL
DA
TA
SO
UR
CE
S
Data Access
Qlik
Vie
wB
usi
nes
s D
isco
very
Pla
tfo
rm
QL
IKV
IEW
SE
RV
ER
Dat
a / B
usin
ess
Ana
lyst
s D
evel
oper
s
QL
IKV
IEW
MA
NA
GE
ME
NT
C
ON
SO
LE
QL
IKV
IEW
DE
VE
LO
PE
R
Win
dow
s IIS
Bu
sin
ess
Ben
efit
s
•de
ploy
men
ts a
re m
easu
red
in d
ays
and
wee
ks—
not m
onth
s. T
his
way
, im
plem
enta
tion
cost
s ar
e si
gnifi
cant
ly lo
wer
than
com
petin
g so
lutio
ns.
Rap
id D
eplo
ymen
t
•Q
likV
iew
pulls
dat
a di
rect
ly fr
om S
AP.
Dat
a fr
om
SA
P B
W a
nd o
ther
dat
a w
areh
ouse
can
be
load
ed a
s w
ell –
but i
t is
not r
equi
red.
No
Dat
a W
areh
ou
se
req
uir
ed
•Q
likV
iew
com
bine
s da
ta fr
om m
ultip
le s
ourc
es,
givi
ng c
usto
mer
s a
com
plet
e vi
ew o
f the
ir bu
sine
ss.
SA
P a
nd
No
n-S
AP
d
ata
com
bin
ed
•P
aten
ted
tech
nolo
gy m
akes
Qlik
Vie
wap
plic
atio
ns
easy
to le
arn,
for
deve
lope
rs a
nd fo
r en
d-us
ers.
E
asy-
To-U
se
Tech
nic
al B
enef
its
Acc
ess
to S
AP
dat
a us
ing
SA
P la
test
Net
wea
ver
RF
C
No
depe
nden
cies
on
othe
r pr
oduc
ts (
e.g.
SA
PG
UI,
Bex
)
Fie
ld le
vel s
ecur
ity
Fol
low
s S
AP
sec
urity
mod
el
Del
ta lo
ad c
apab
le
Zer
o ad
min
istr
atio
n
One
con
nect
or to
mul
tiple
SA
P s
erve
rs (
DE
V, Q
AS
, PR
D)
Par
alle
l dow
nloa
ds
No
extr
a ha
rdw
are
(coe
xist
s w
ith Q
V D
evel
opm
ent a
nd P
ublis
her)
Qui
ck in
stal
latio
n an
d co
nfig
urat
ion
(1/2
hr)
Aut
omat
ic E
TL
scrip
t gen
erat
ion
base
d on
eas
y po
int a
nd c
lick
sele
ctio
n us
ing
Qlik
view
Scr
ipt B
uild
er a
pplic
atio
n
Qlik
Sta
rt T
emp
late
s fo
r S
AP
•Q
likS
tart
for:
•S
D –
Sal
es a
nd D
istr
ibut
ion
•A
R –
Acc
ount
s R
ecei
vabl
e
•A
P-A
ccou
nts
Pay
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