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B
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Ma
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2
0
1
9
In
stit
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te o
f
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C
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:
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y
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izatio
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th
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[
1
]
.
B
u
s
in
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in
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m
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ef
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atica
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-
m
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k
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s
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[
2
]
.
B
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is
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in
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Data
Min
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[
3
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.
Fo
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ased
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.
Fo
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w
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m
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:
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f
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8776
Usi
n
g
b
u
s
in
ess
in
tellig
en
ce
s
o
lu
tio
n
s
fo
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fo
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(
C
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lb
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)
103
So
,
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u
ce
co
s
t
s
in
o
r
d
er
to
g
ain
t
h
e
p
ick
r
ev
e
n
u
e
an
d
e
n
h
a
n
ce
t
h
e
o
r
g
an
iza
tio
n
i
m
ag
e
.
T
h
er
e
ar
e
m
a
n
y
p
r
ev
io
u
s
r
es
ea
r
ch
es
t
h
at
r
e
f
er
to
th
e
u
s
in
g
o
f
b
u
s
i
n
es
s
i
n
tell
ig
e
n
ce
s
o
l
u
tio
n
s
f
o
r
s
u
p
p
o
r
tin
g
an
d
p
r
ed
ictin
g
f
o
r
d
ec
is
io
n
m
a
k
in
g
in
t
h
e
m
ar
k
eti
n
g
r
esear
ch
e
s
.
B
u
s
in
e
s
s
I
n
tel
li
g
en
ce
p
o
s
s
es
s
es
th
e
ca
p
ab
ilit
ies
th
at
s
u
p
p
o
r
t
s
u
p
er
io
r
b
u
s
in
es
s
d
ec
is
io
n
-
m
ak
in
g
t
h
r
o
u
g
h
p
ast,
p
r
es
en
t
an
d
p
r
ed
ictiv
e
co
m
p
o
s
i
tio
n
/tre
n
d
s
o
f
o
r
g
an
i
za
tio
n
o
p
er
atio
n
s
.
B
u
s
in
es
s
i
n
telli
g
e
n
ce
is
n
o
t
a
p
r
o
d
u
ct,
tech
n
o
lo
g
y
a
n
d
o
r
m
et
h
o
d
o
lo
g
y
,
b
u
t
a
co
m
b
i
n
ati
o
n
o
f
all
to
lev
er
a
g
e
i
n
f
o
r
m
ati
o
n
ass
et
s
w
it
h
i
n
k
e
y
b
u
s
in
e
s
s
p
r
o
ce
s
s
es
to
ac
h
ie
v
e
i
m
p
r
o
v
ed
b
u
s
i
n
es
s
p
er
f
o
r
m
a
n
ce
[
1
]
.
Dec
is
io
n
-
m
ak
in
g
is
ev
er
y
d
a
y
li
f
e
ac
ti
v
it
y
a
n
d
it
is
th
e
ess
en
ce
o
f
m
a
n
ag
e
m
e
n
t
[
4
]
.
B
u
s
in
es
s
I
n
telli
g
en
ce
,
t
h
e
b
asic
tec
h
n
o
l
o
g
y
o
f
B
u
s
i
n
es
s
I
n
telli
g
e
n
ce
,
an
d
th
e
co
n
te
n
t
s
o
f
S
u
p
p
l
y
C
h
ain
I
n
te
g
r
atio
n
a
n
d
f
o
cu
s
es
o
n
th
e
a
n
al
y
s
is
o
f
th
e
ap
p
licatio
n
o
f
B
u
s
in
e
s
s
I
n
telli
g
en
ce
in
Su
p
p
l
y
C
h
ai
n
I
n
te
g
r
a
tio
n
to
p
r
o
v
id
e
b
asis
f
o
r
en
ter
p
r
is
es to
i
m
p
le
m
e
n
t B
u
s
i
n
es
s
I
n
tell
ig
e
n
ce
[5
]
.
2.
T
H
E
B
USI
NE
SS
I
N
T
E
L
L
I
G
E
NCE
E
NV
I
RO
NM
E
NT
B
u
s
i
n
ess
in
telli
g
en
ce
an
d
a
n
al
y
tics
r
eq
u
ir
es
a
h
u
g
e
a
m
o
u
n
t
o
f
s
tr
u
ct
u
r
ed
an
d
u
n
s
tr
u
ct
u
r
ed
d
ata
f
r
o
m
d
if
f
er
e
n
t
r
eso
u
r
ce
s
,
an
a
l
y
t
ic
to
o
ls
,
an
d
p
eo
p
le
w
h
o
d
ea
l
w
ith
th
ese
to
o
ls
to
p
lan
an
d
p
r
ed
ic
t
f
o
r
th
e
f
u
tu
r
e
a
n
d
s
o
lv
e
co
m
p
licated
p
r
o
b
lem
s
.
Sp
ec
if
ic
ca
s
e
o
f
b
u
s
i
n
es
s
in
te
llig
e
n
ce
(
B
I
)
in
f
r
astru
ct
u
r
es,
s
h
o
u
ld
b
e
d
ec
i
d
ed
ac
co
r
d
in
g
to
th
e
s
p
ee
d
o
f
th
e
d
ec
is
io
n
-
m
ak
i
n
g
p
r
o
ce
s
s
es,
w
h
i
ch
ar
e
u
s
u
all
y
ex
ec
u
ted
in
r
ea
l
ti
m
e.
I
t
is
d
eter
m
in
e
th
e
f
lex
ib
il
it
y
r
ate
at
w
h
ic
h
t
h
e
b
u
s
i
n
ess
ca
n
g
r
o
w
.
B
u
s
in
e
s
s
es
g
r
o
w
b
u
t
t
h
e
k
e
y
d
r
iv
er
s
ca
n
r
e
m
ai
n
t
h
e
s
a
m
e.
I
t a
n
al
y
ze
s
th
e
ele
m
e
n
ts
r
eq
u
ir
ed
f
o
r
an
o
p
tim
a
l d
ep
lo
y
m
e
n
t
o
f
s
m
ar
t d
ec
is
io
n
ar
ch
i
tectu
r
e
s
[
6
].
As
s
h
o
w
n
in
F
i
g
u
r
e
1
w
h
ic
h
g
iv
e
s
a
n
o
v
er
v
ie
w
o
f
a
b
u
s
in
e
s
s
i
n
telli
g
e
n
ce
e
n
v
ir
o
n
m
e
n
t
s
t
ar
tin
g
w
it
h
th
e
d
ata
an
d
e
n
d
in
g
w
it
h
d
if
f
er
en
t
s
o
l
u
tio
n
s
to
th
e
e
n
d
u
s
er
s
.
T
h
e
b
u
s
in
e
s
s
i
n
telli
g
e
n
ce
en
v
i
r
o
n
m
e
n
t
co
n
s
is
t
s
o
f
s
ix
m
ile
s
to
n
e
s
.
2
.
1
.
D
a
t
a
I
n
th
e
b
u
s
i
n
ess
e
n
v
ir
o
n
m
en
t,
t
h
er
e
ar
e
d
if
f
er
e
n
t
t
y
p
es
o
f
s
tr
u
ctu
r
ed
,
s
e
m
i
s
tr
u
ct
u
r
ed
an
d
u
n
s
tr
u
ct
u
r
ed
d
ata
f
r
o
m
d
if
f
er
en
t r
eso
u
r
ce
s
w
it
h
co
n
tai
n
i
n
g
t
h
e
m
o
b
ile
d
ev
ices a
n
d
s
o
cial
n
et
w
o
r
k
s
.
A
l
l th
ese
d
ata
is
n
ee
d
ed
b
y
t
h
e
d
ec
is
io
n
m
a
k
er
s
i
n
o
r
d
er
to
an
al
y
ze
to
g
ai
n
a
co
m
p
etit
iv
e
ad
v
a
n
tag
e.
2
.
2
.
B
us
ines
s
i
nte
llig
ent
infr
a
s
t
ruct
ure
B
u
s
i
n
ess
i
n
tel
lig
e
n
t
i
n
f
r
astru
c
tu
r
e
co
n
s
i
s
ts
o
f
th
e
d
atab
ase
s
,
d
ata
w
ar
eh
o
u
s
e
an
d
d
ata
m
ar
ts
in
o
r
d
er
to
tu
r
n
d
ata
i
n
to
i
n
f
o
r
m
atio
n
a
n
d
in
f
o
r
m
at
io
n
i
n
to
k
n
o
w
led
g
e
an
d
k
n
o
w
led
g
e
i
n
to
s
tr
ateg
ic
p
lan
s
t
h
at
g
ai
n
a
co
m
p
eti
tiv
e
ad
v
an
ta
g
e.
2
.
3
.
B
us
ines
s
a
na
ly
t
ics t
o
o
ls
T
h
er
e
ar
e
m
an
y
b
u
s
in
e
s
s
a
n
al
y
tics
to
o
ls
li
k
e
O
L
A
P
,
d
ata
m
i
n
in
g
,
s
ta
tis
tica
l
m
o
d
els,
a
n
d
r
ep
o
r
ts
.
2
.
4
.
M
a
na
g
em
ent
m
et
ho
ds
T
h
e
m
a
n
a
g
e
m
en
t
m
et
h
o
d
s
u
s
e
d
to
p
r
ed
ict
an
d
f
o
r
ec
ast
u
s
i
n
g
k
e
y
in
d
icato
r
s
o
f
p
er
f
o
r
m
a
n
ce
.
Ma
n
ag
er
s
u
s
e
a
v
ar
iet
y
o
f
m
a
n
a
g
er
ial
m
et
h
o
d
s
in
o
r
d
er
to
d
em
o
n
s
tr
ate
s
tr
ateg
ic
b
u
s
i
n
es
s
g
o
als
an
d
p
er
f
o
r
m
an
ce
m
an
a
g
e
m
e
n
t.
2
.
5
.
Deliv
er
y
pla
t
f
o
rm
T
h
e
d
eliv
er
y
p
latf
o
r
m
co
n
tai
n
s
m
a
n
a
g
e
m
en
t
i
n
f
o
r
m
atio
n
s
y
s
te
m
(
MI
S),
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
(
DSS),
ex
ec
u
ti
v
e
s
u
p
p
o
r
t
s
y
s
t
e
m
(
E
SS
)
.
T
h
e
r
es
u
lts
f
r
o
m
b
u
s
i
n
es
s
i
n
telli
g
e
n
ce
a
n
d
an
al
y
tics
ar
e
d
eliv
er
ed
to
m
an
a
g
er
s
a
n
d
e
m
p
lo
y
ee
s
i
n
a
v
ar
iet
y
o
f
w
a
y
s
.
MI
S,
DSS,
an
d
E
SS
th
at
h
e
lp
tr
ac
k
an
d
k
ee
p
in
f
o
r
m
atio
n
f
lo
w
i
n
g
in
t
h
e
a
m
o
u
n
t
a
n
d
d
ir
ec
tio
n
o
r
g
an
iza
tio
n
n
ee
d
s
to
s
ta
y
o
n
tr
a
ck
,
d
eliv
er
i
n
f
o
r
m
atio
n
an
d
k
n
o
w
led
g
e
to
d
if
f
er
en
t
lev
els
o
f
m
a
n
ag
e
m
e
n
t
f
r
o
m
to
p
,
m
id
d
le
an
d
lo
w
m
a
n
ag
e
m
e
n
t
.
Deli
v
er
y
p
latf
o
r
m
ca
n
p
r
es
en
t,
s
u
m
m
ar
ize,
an
d
an
al
y
ze
d
ata
f
r
o
m
an
o
r
g
an
iza
tio
n
’
s
d
atab
ases
o
r
d
ata
w
ar
e
h
o
u
s
e
to
o
p
er
atio
n
al
em
p
lo
y
ee
s
,
m
id
d
l
e
m
a
n
ag
er
s
,
an
d
s
en
io
r
ex
ec
u
ti
v
es.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
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8776
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
8
,
No
.
2
,
A
u
g
u
s
t
20
1
9
:
1
0
2
–
110
104
2
.
6
.
User
inte
rf
a
ce
T
o
d
ay
’
s
b
u
s
i
n
es
s
an
al
y
tic
s
s
o
f
t
w
ar
e
ca
n
d
eliv
er
r
ep
o
r
ts
an
d
s
u
m
m
ar
ized
d
ata
th
r
o
u
g
h
th
e
u
s
i
n
g
o
f
s
m
ar
t
p
h
o
n
e
s
an
d
h
a
n
d
h
eld
co
m
p
u
ter
s
.
T
h
e
u
s
er
in
ter
f
ac
e
ca
n
b
e
t
h
r
o
u
g
h
w
eb
p
o
r
tals
o
r
m
o
b
ile
ap
p
licatio
n
s
o
r
s
o
cial
n
et
w
o
r
k
s
.
B
u
s
i
n
es
s
an
al
y
tics
s
o
f
t
w
ar
e
h
ig
h
li
g
h
ts
v
i
s
u
al
tech
n
iq
u
es
s
u
ch
as
d
ash
b
o
ar
d
s
an
d
s
co
r
ec
ar
d
s
.
Mo
b
ile
b
u
s
i
n
ess
in
telli
g
en
ce
t
o
o
l
(
MB
I
T
)
aim
s
to
p
r
o
v
id
e
t
h
ese
f
ea
t
u
r
es
in
a
f
lex
ib
le
a
n
d
c
o
s
t
-
e
f
f
icien
t
m
an
n
er
.
B
u
s
i
n
ess
a
n
al
y
tics
s
o
f
t
w
ar
e
d
escr
ib
es
th
e
d
etailed
ar
ch
itec
tu
r
e
o
f
MB
I
T
to
o
v
er
co
m
e
t
h
e
li
m
itatio
n
s
o
f
ex
i
s
ti
n
g
m
o
b
ile
b
u
s
in
e
s
s
i
n
tel
lig
e
n
ce
t
o
o
ls
.
B
u
s
in
e
s
s
a
n
al
y
tic
s
s
o
f
t
war
e
d
is
cu
s
s
es
t
h
e
b
e
n
ef
i
ts
o
f
u
s
in
g
s
er
v
ice
o
r
ien
ted
ar
ch
itect
u
r
e
to
d
esig
n
f
le
x
ib
le
an
d
p
latf
o
r
m
i
n
d
e
p
en
d
en
t
m
o
b
ile
b
u
s
in
e
s
s
ap
p
licatio
n
s
[
7
]
.
Fig
u
r
e
1
.
B
u
s
in
e
s
s
i
n
telli
g
e
n
c
e
en
v
ir
o
n
m
e
n
t
3.
B
USI
NE
SS
I
N
T
E
L
L
I
G
E
NC
E
SO
L
U
T
I
O
N
A
RCH
I
T
E
C
T
UR
E
B
u
s
i
n
ess
i
n
telli
g
e
n
ce
s
o
lu
t
io
n
ar
ch
itect
u
r
e
is
a
co
llectio
n
o
f
o
r
g
an
izi
n
g
th
e
d
ata,
in
f
o
r
m
atio
n
m
an
a
g
e
m
e
n
t
an
d
tech
n
o
lo
g
y
co
m
p
o
n
e
n
t
s
th
at
ar
e
u
s
ed
to
b
u
ild
b
u
s
i
n
ess
i
n
telli
g
e
n
ce
s
y
s
t
e
m
s
f
o
r
g
e
n
er
atin
g
r
ep
o
r
ts
an
d
an
al
y
z
in
g
d
ata.
T
h
is
ar
ch
itect
u
r
e
co
n
tai
n
s
o
p
er
atio
n
al,
s
tr
ateg
ic,
tact
ical
d
ec
is
io
n
s
u
p
p
o
r
t
ap
p
licatio
n
s
an
d
d
atab
ase
s
th
a
t
p
r
o
v
id
es
th
e
b
u
s
i
n
es
s
co
m
m
u
n
i
t
y
ea
s
y
ac
ce
s
s
to
d
ata
in
a
r
ea
l
ti
m
e
s
p
ec
ial
f
o
r
m
ar
k
et
r
esear
c
h
es.
B
u
s
i
n
es
s
in
tellig
e
n
ce
s
o
lu
tio
n
ar
ch
itect
u
r
e
is
b
ased
o
n
th
e
v
is
io
n
,
m
i
s
s
i
o
n
an
d
o
b
j
ec
tiv
es
o
f
th
e
b
u
s
in
e
s
s
.
B
u
s
i
n
ess
i
n
tell
ig
e
n
ce
s
o
l
u
tio
n
ar
ch
itect
u
r
e
co
n
s
i
s
ts
o
f
f
i
v
e
s
t
ag
es a
s
s
h
o
w
n
in
F
ig
u
r
e
2
:
-
Data
m
o
d
elin
g
is
o
n
e
o
f
th
e
co
r
e
p
h
ases
o
f
d
esig
n
i
n
g
a
B
I
s
o
lu
tio
n
an
d
in
th
i
s
p
h
ase
all
th
e
d
ata
th
at
is
g
ath
er
ed
r
eg
ar
d
in
g
r
eq
u
ir
e
m
e
n
ts
ar
e
u
s
ed
w
h
ich
m
ea
n
s
th
e
d
ata
m
o
d
el
w
il
l
ef
f
ec
ti
v
el
y
f
u
n
ctio
n
as
a
f
o
u
n
d
atio
n
f
o
r
b
u
ild
i
n
g
t
h
e
B
I
s
o
lu
tio
n
[
8
].
So
u
r
ce
s
y
s
te
m
s
ar
e
ess
e
n
tiall
y
s
y
s
te
m
s
th
at
p
r
o
v
id
e
a
B
I
s
y
s
te
m
w
it
h
d
ata
th
u
s
th
e
d
ef
i
n
itio
n
d
ata
s
o
u
r
ce
s
.
SA
P
(
S
y
s
te
m
s
A
p
p
licatio
n
s
P
r
o
d
u
cts)
h
as
a
d
if
f
er
e
n
t
class
i
f
icatio
n
,
an
d
as
s
u
ch
it
a
s
s
o
ciate
s
d
ata
s
o
u
r
ce
s
w
it
h
m
etad
ata
o
f
s
o
u
r
ce
s
y
s
te
m
,
w
h
i
ch
is
u
s
ed
w
h
e
n
th
e
ac
t
u
a
l d
ata
i
s
tr
a
n
s
f
er
r
ed
in
t
h
e
f
o
r
m
o
f
I
n
f
o
P
ac
k
a
g
es.
S
A
P
d
ef
i
n
es
f
o
u
r
t
y
p
e
s
o
f
d
ata
s
o
u
r
ce
s
f
o
r
S
A
P
s
o
u
r
ce
s
y
s
te
m
s
a
n
d
th
e
s
e
ar
e
g
r
o
u
p
ed
in
to
t
w
o
,
b
ased
o
n
th
e
t
y
p
e
o
f
d
ata,
tr
an
s
ac
tio
n
d
ata
an
d
m
aste
r
d
ata
[
9
].
-
Data
ac
q
u
is
itio
n
i
m
p
lie
s
th
e
e
x
tr
ac
tio
n
o
f
d
ata
f
r
o
m
s
o
u
r
ce
s
y
s
te
m
s
.
A
n
E
x
tr
ac
tio
n
,
T
r
an
s
f
o
r
m
a
tio
n
an
d
L
o
ad
in
g
(
E
T
L
)
p
r
o
ce
s
s
ca
n
also
b
e
u
s
ed
to
f
ac
ilit
ate
t
h
e
d
ata
ac
q
u
is
itio
n
p
r
o
ce
s
s
-
Data
ex
tr
ac
tio
n
is
an
ar
ea
w
h
e
r
e
th
e
d
ata
th
at
is
ex
tr
ac
ted
f
r
o
m
a
s
o
u
r
ce
s
y
s
te
m
is
s
to
r
ed
tem
p
o
r
ar
il
y
a
n
d
in
a
r
a
w
f
o
r
m
at,
th
at
is
w
ith
o
u
t
an
y
c
h
an
g
es
to
th
e
d
ata.
SA
P
d
ef
in
es
th
is
ar
ea
a
Per
s
is
te
n
t
Stag
i
n
g
A
r
ea
(
P
SA
)
[
1
0
].
-
Data
tr
an
s
f
o
r
m
atio
n
p
h
a
s
e,
T
r
an
s
f
o
r
m
atio
n
i
n
th
i
s
ca
s
e
i
m
p
lies
th
at
th
e
s
o
u
r
ce
d
ata
is
co
n
s
o
lid
ated
an
d
f
o
r
m
atted
s
o
t
h
at
it
ca
n
b
e
tr
an
s
f
er
r
ed
f
o
r
f
u
r
t
h
er
p
r
o
ce
s
s
in
g
an
d
an
al
y
zin
g
.
O
n
ce
th
e
d
ata
is
in
t
h
e
s
tag
i
n
g
ar
ea
,
it
ca
n
b
e
clea
n
s
ed
,
tr
an
s
f
o
r
m
ed
,
an
d
tr
an
s
f
er
r
ed
to
a
cu
b
e.
T
h
e
p
r
o
ce
s
s
E
x
tr
ac
tio
n
,
T
r
an
s
f
o
r
m
atio
n
an
d
L
o
ad
in
g
(
E
T
L
)
ca
n
s
u
p
p
o
r
t
f
a
cilitati
n
g
t
h
is
s
ta
g
e.
T
h
e
E
T
L
(
E
x
tr
ac
t,
L
o
ad
,
an
d
T
r
an
s
f
o
r
m
)
is
o
n
e
o
f
th
e
m
ai
n
co
m
p
o
n
en
ts
o
f
a
b
u
s
in
e
s
s
in
tell
ig
e
n
ce
s
y
s
te
m
t
h
at
d
ep
en
d
s
o
n
d
ata
ac
cu
r
ac
y
i
n
o
r
d
er
t
o
d
ata
ex
tr
ac
tio
n
.
-
T
h
e
d
ata
p
r
esen
tatio
n
la
y
er
o
f
a
B
I
s
o
lu
tio
n
u
lti
m
atel
y
r
ep
r
esen
ts
t
h
e
e
n
d
u
s
er
e
n
v
ir
o
n
m
e
n
t
,
w
h
er
e
r
ep
o
r
ts
an
d
q
u
er
ies ar
e
u
s
ed
to
p
r
esen
t th
e
d
ata
in
a
ce
r
tain
f
o
r
m
at
s
o
th
at
d
r
ill d
o
w
n
an
al
y
s
is
o
n
m
u
ltid
i
m
en
s
io
n
a
l
d
ata
ca
n
b
e
p
er
f
o
r
m
ed
[
1
1
]
.
T
h
e
p
r
esen
tat
io
n
la
y
er
m
a
y
u
s
e
m
o
d
er
n
w
eb
tech
n
o
lo
g
ie
s
s
u
c
h
as
A
d
o
b
e
f
la
s
h
,
HT
ML
5
an
d
P
DF to
p
r
esen
t e
as
y
to
u
s
e,
h
i
g
h
l
y
i
n
ter
ac
ti
v
e,
an
d
u
s
er
-
f
r
ien
d
l
y
r
ep
o
r
ts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8776
Usi
n
g
b
u
s
in
ess
in
tellig
en
ce
s
o
lu
tio
n
s
fo
r
fo
r
ec
a
s
tin
g
in
ma
r
ke
tin
g
r
esea
r
ch
es
(
C
h
r
is
tin
a
A
lb
ert R
a
ye
d
A
s
s
a
d
)
105
Fig
u
r
e
2
.
B
u
s
in
e
s
s
I
n
telli
g
en
c
e
s
o
lu
tio
n
A
r
c
h
itect
u
r
e
E
v
en
-
Dr
i
v
en
A
r
ch
i
tectu
r
e
(
E
DA
)
b
ased
R
i
g
h
t
-
T
i
m
e
B
u
s
i
n
e
s
s
I
n
telli
g
en
ce
S
y
s
te
m
Fra
m
e
w
o
r
k
(
E
D
A
b
ased
R
T
B
I
SF
)
,
w
h
ich
co
m
b
i
n
es R
T
-
B
I
an
d
th
e
b
u
s
in
e
s
s
p
r
o
ce
s
s
b
ased
o
n
th
e
E
DA
an
d
Ag
e
n
t,
to
r
eso
lv
e
th
e
en
v
ir
o
n
m
e
n
t
u
n
ce
r
tai
n
t
y
,
b
u
s
i
n
es
s
d
y
n
a
m
ic
s
an
d
to
m
ee
t
th
e
n
ee
d
s
o
f
d
y
n
a
m
ic
ad
j
u
s
t
m
e
n
t
o
f
b
u
s
i
n
es
s
s
o
lu
t
io
n
f
o
r
th
e
en
ter
p
r
is
e
in
th
e
f
ier
ce
co
m
p
etiti
v
e
e
n
v
ir
o
n
m
e
n
t
[
1
2
]
.
Sp
ec
if
ic
ca
s
e
o
f
b
u
s
in
e
s
s
i
n
tell
ig
e
n
ce
(
B
I
)
in
f
r
astru
ct
u
r
es,
s
h
o
u
ld
b
e
d
ec
id
ed
ac
co
r
d
in
g
to
th
e
s
p
ee
d
o
f
th
e
d
ec
is
io
n
-
m
ak
i
n
g
p
r
o
ce
s
s
es
,
w
h
ic
h
ar
e
u
s
u
all
y
ex
ec
u
ted
i
n
r
ea
l
ti
m
e.
I
t
is
d
et
er
m
in
e
t
h
e
f
le
x
ib
ilit
y
r
ate
at
wh
ich
th
e
b
u
s
i
n
es
s
ca
n
g
r
o
w
.
B
u
s
i
n
es
s
es
g
r
o
w
b
u
t
th
e
k
e
y
d
r
iv
er
s
ca
n
r
e
m
ain
th
e
s
a
m
e.
I
t
a
n
al
y
ze
s
t
h
e
ele
m
e
n
ts
r
eq
u
ir
ed
f
o
r
an
o
p
ti
m
al
d
ep
lo
y
m
e
n
t
o
f
s
m
ar
t
d
ec
is
io
n
ar
ch
itect
u
r
es
[
6
]
.
T
h
er
e
ar
e
m
an
y
e
s
s
e
n
tial
f
ac
t
o
r
s
in
b
u
s
i
n
es
s
i
n
tell
ig
e
n
ce
s
o
lu
tio
n
ar
c
h
itect
u
r
e
d
ep
en
d
in
g
o
n
s
ca
lab
ilit
y
a
n
d
h
i
g
h
p
er
f
o
r
m
an
ce
,
a
g
ilit
y
,
co
m
p
lete
f
u
n
ctio
n
a
lit
y
,
ex
ten
s
i
b
ilit
y
,
r
ap
id
d
ev
elo
p
m
en
t a
n
d
d
ep
lo
y
m
e
n
t.
4.
USI
N
G
B
USI
NE
S
S IN
T
E
L
L
I
G
E
NCE
SO
L
U
T
I
O
N
S IN
M
ARK
E
T
RE
SE
ARCH
E
S
I
t'
s
v
er
y
i
m
p
o
r
tan
t
i
n
t
h
e
co
m
p
e
titi
v
e
b
u
s
in
e
s
s
e
n
v
ir
o
n
m
en
t
to
o
f
f
er
n
e
w
b
u
s
i
n
ess
in
tellig
e
n
c
e
s
o
lu
tio
n
s
to
in
cr
ea
s
e
th
e
r
ev
e
n
u
e
an
d
r
ed
u
ce
ex
p
en
s
es.
T
h
e
b
u
s
in
es
s
in
tel
lig
e
n
ce
s
o
lu
ti
o
n
s
ca
n
o
f
f
er
a
f
ast
ac
ce
s
s
to
i
n
f
o
r
m
atio
n
at
lo
w
co
s
t
in
m
ar
k
eti
n
g
r
esear
ch
e
s
t
h
at
ca
n
lead
to
g
ain
a
co
m
p
et
itiv
e
ad
v
an
ta
g
e
a
n
d
ac
q
u
is
itio
n
n
e
w
c
u
s
to
m
er
s
an
d
o
p
en
n
e
w
m
ar
k
e
ts
.
B
u
s
i
n
es
s
in
telli
g
e
n
ce
s
o
lu
tio
n
s
also
o
f
f
er
in
telli
g
en
t
q
u
er
ie
s
an
d
r
ep
o
r
ts
,
s
o
th
at
th
e
y
h
elp
i
n
d
ec
is
io
n
m
a
k
in
g
.
On
e
o
f
t
h
e
k
e
y
s
o
f
b
u
s
i
n
ess
s
t
r
ateg
y
f
o
r
cr
ea
ti
n
g
co
m
p
etit
iv
e
ad
v
an
ta
g
e
s
is
u
n
d
er
s
ta
n
d
s
t
h
e
d
ata
th
a
t
f
ir
m
s
g
e
n
er
ate
in
its
o
w
n
b
u
s
in
e
s
s
.
I
n
f
o
r
m
atio
n
p
r
o
ce
s
s
in
g
h
as
g
r
ad
u
all
y
b
ec
o
m
e
t
h
e
b
asis
f
o
r
ac
h
ie
v
in
g
co
m
p
eti
tiv
e
ad
v
a
n
ta
g
e.
T
h
e
o
r
g
an
izat
io
n
h
as
to
b
eliev
e
th
at
h
av
e
th
e
r
ig
h
t
in
f
o
r
m
a
tio
n
at
th
e
r
ig
h
t
ti
m
e
an
d
a
v
ailab
le
to
th
e
r
ig
h
t p
eo
p
le
[
1
3
]
.
B
I
b
r
id
g
es
b
et
w
ee
n
d
i
f
f
er
e
n
t
s
y
s
te
m
s
an
d
u
s
er
s
w
is
h
i
n
g
to
ac
ce
s
s
i
n
f
o
r
m
atio
n
,
p
r
o
v
id
in
g
a
n
en
v
ir
o
n
m
e
n
t
t
h
at
f
ac
il
itates
a
cc
ess
to
in
f
o
r
m
atio
n
n
ee
d
ed
f
o
r
d
ay
to
d
ay
ac
ti
v
it
ies,
all
o
w
i
n
g
a
n
al
y
ze
t
h
e
b
u
s
i
n
ess
p
er
f
o
r
m
a
n
ce
[
1
4
].
W
ith
B
I
o
r
g
an
izatio
n
s
ca
n
i
n
teg
r
ate
p
o
w
er
f
u
l
to
o
ls
,
a
n
a
l
y
s
i
s
,
s
tan
d
ar
d
ized
r
ep
o
r
tin
g
,
m
o
n
ito
r
i
n
g
s
y
s
te
m
w
it
h
v
ar
io
u
s
m
etr
ics,
d
at
a
in
te
g
r
atio
n
,
a
m
o
n
g
o
th
er
f
ea
t
u
r
es
w
it
h
in
a
s
er
v
ice
-
o
r
ien
ted
ar
ch
itectu
r
e
[
1
5
,
1
6
].
E
-
b
u
s
in
e
s
s
i
n
telli
g
e
n
ce
ai
m
s
t
o
d
ev
elo
p
a
t
r
em
e
n
d
o
u
s
s
p
ec
tr
u
m
o
f
b
u
s
i
n
es
s
o
p
p
o
r
tu
n
ities
an
d
u
s
er
'
s
ad
o
p
tio
n
o
f
th
e
b
u
s
in
e
s
s
i
n
te
llig
e
n
ce
is
v
er
y
i
m
p
o
r
tan
t
a
n
d
r
e
lev
an
t
p
r
o
p
o
s
itio
n
s
ar
e
m
ad
e
[
1
7
]
.
Ma
r
k
et
in
telli
g
e
n
ce
(
MI
)
is
a
p
r
o
ce
s
s
g
ea
r
ed
to
w
ar
d
s
t
h
e
m
ar
k
et
e
n
v
ir
o
n
m
e
n
t
th
a
t
an
o
r
g
a
n
is
ati
o
n
o
p
er
ates
in
an
d
d
if
f
er
e
n
tiate
s
its
el
f
f
r
o
m
m
ar
k
et
r
esear
ch
w
i
th
t
h
e
an
al
y
tic
ca
p
ab
ilit
ies
[
1
8
]
.
Ma
r
k
et
in
tellig
e
n
ce
is
d
ec
is
io
n
-
ce
n
tr
ic
an
d
e
x
p
r
ess
ed
b
y
s
o
m
e
m
ar
k
et
in
g
r
esear
c
h
es,
Ma
r
k
et
in
telli
g
e
n
ce
is
a
s
u
b
s
et
o
f
b
u
s
i
n
es
s
in
telli
g
en
ce
to
g
ain
f
r
o
m
t
h
e
ex
p
er
ie
n
ce
s
a
n
d
to
an
ticip
ate
th
e
f
u
t
u
r
e
m
ar
k
e
t o
p
p
o
r
tu
n
itie
s
b
ef
o
r
e
th
e
co
m
p
etitio
n
.
C
u
s
to
m
er
R
e
latio
n
s
h
ip
Ma
n
a
g
e
m
e
n
t
(
C
R
M)
s
y
s
te
m
s
a
n
d
B
u
s
i
n
ess
I
n
telli
g
en
ce
p
r
o
v
id
e
s
a
h
o
lis
tic
ap
p
r
o
ac
h
to
cu
s
to
m
er
s
w
h
ic
h
in
c
lu
d
es
i
m
p
r
o
v
e
m
e
n
ts
i
n
cu
s
to
m
er
p
r
o
f
ilin
g
,
s
i
m
p
ler
d
etec
tio
n
v
al
u
e
f
o
r
cu
s
to
m
er
s
,
m
ea
s
u
r
i
n
g
t
h
e
s
u
c
ce
s
s
o
f
th
e
co
m
p
an
y
in
s
ati
s
f
y
in
g
its
cu
s
to
m
er
s
,
an
d
cr
ea
te
a
co
m
p
r
eh
en
s
iv
e
cu
s
t
o
m
er
r
elatio
n
s
h
ip
m
an
a
g
e
m
en
t
[
1
9
]
.
B
u
s
in
es
s
I
n
tel
lig
en
ce
an
d
B
u
s
in
e
s
s
P
r
o
ce
s
s
Ma
n
ag
e
m
e
n
t
(
B
P
M)
ap
p
licatio
n
s
is
u
s
i
n
g
f
o
r
d
ata
an
al
y
s
i
s
an
d
s
i
m
u
latio
n
o
f
f
o
r
e
ca
s
tin
g
i
n
m
ar
k
et
r
esear
ch
e
s
.
Usi
n
g
b
u
s
i
n
ess
in
te
lli
g
en
ce
ap
p
licatio
n
s
i
n
c
l
u
d
es
th
r
ee
s
tag
e
s
as
s
h
o
w
n
i
n
F
i
g
u
r
e
3
;
th
e
f
ir
s
t
s
ta
g
e
is
an
al
y
s
is
th
at
co
n
tai
n
s
t
h
e
u
s
i
n
g
o
f
d
ata
m
i
n
i
n
g
,
ad
v
a
n
ce
d
an
al
y
s
is
,
V
is
u
al
an
d
O
L
A
P
an
al
y
s
i
s
.
T
h
e
s
ec
o
n
d
p
h
ase
is
r
ep
o
r
tin
g
b
y
cr
ea
tin
g
m
ar
k
et
in
g
a
n
d
s
tati
s
tical
r
ep
o
r
ts
.
T
h
e
last
p
h
ase
is
m
o
n
i
to
r
in
g
w
h
ic
h
co
n
tain
s
d
ash
b
o
ar
d
s
,
s
co
r
ec
ar
d
s
an
d
m
o
b
ile
ap
p
s
.
D
ata p
r
e
se
n
tati
o
n
D
ata tr
an
sf
o
r
mati
o
n
D
ata ext
r
ac
ti
o
n
D
ata ac
q
u
i
si
ti
o
n
D
ata mo
d
e
l
l
i
n
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
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8776
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
8
,
No
.
2
,
A
u
g
u
s
t
20
1
9
:
1
0
2
–
110
106
Fig
u
r
e
3.
Stag
es o
f
u
s
in
g
b
u
s
i
n
es
s
in
tel
lig
e
n
ce
s
o
l
u
tio
n
s
B
y
ap
p
l
y
i
n
g
th
e
s
e
th
r
ee
s
ta
g
e
s
in
m
ar
k
et
r
esear
ch
e
s
,
th
e
b
u
s
in
e
s
s
i
n
telli
g
e
n
ce
s
o
lu
t
io
n
m
u
s
t
ai
m
to
en
s
u
r
e
th
e
b
u
s
i
n
e
s
s
s
tr
ateg
y
,
in
cr
ea
s
e
t
h
e
ec
o
n
o
m
ics
s
ca
l
es,
o
f
f
er
th
e
f
u
ll
r
a
n
g
e
o
f
b
u
s
i
n
es
s
i
n
telli
g
e
n
ce
f
u
n
ctio
n
alit
y
,
g
e
n
er
ate
in
te
g
r
atio
n
r
ep
o
r
ts
to
d
ash
b
o
ar
d
s
,
OL
A
P
,
ad
h
o
c
q
u
er
ies
an
d
m
o
b
ile
ap
p
licatio
n
s
,
ac
ce
s
s
ib
ilit
y
a
n
d
r
ea
l
ti
m
e
ac
c
ess
,
ag
ilit
y
to
R
ap
id
De
v
elo
p
m
en
t
a
n
d
Dep
lo
y
m
e
n
t
a
n
d
C
o
n
s
i
s
ten
c
y
a
n
d
s
ec
u
r
i
t
y
is
s
u
es.
5.
AP
P
L
YIN
G
B
US
I
NE
SS
I
N
T
E
L
L
I
G
E
N
VE
SO
L
U
T
I
O
N
S IN M
ARK
E
T
I
N
G
R
E
S
E
A
RCH
E
S
B
y
ap
p
l
y
i
n
g
b
u
s
i
n
ess
i
n
telli
g
en
t
s
o
lu
t
io
n
s
i
n
m
ar
k
et
r
esear
ch
es,
w
ill
ac
h
ie
v
e
t
h
e
r
ep
o
r
te
d
th
at
th
e
m
aj
o
r
g
o
als
f
o
r
th
e
co
m
p
an
ie
s
s
u
ch
a
s
in
cr
ea
s
e
r
ev
e
n
u
e,
r
e
d
u
ce
co
s
ts
,
a
n
d
in
cr
ea
s
e
p
r
o
d
u
cti
v
it
y
.
T
h
i
s
p
ap
er
p
r
esen
ts
a
b
u
s
i
n
es
s
i
n
telli
g
e
n
ce
s
o
lu
tio
n
f
r
a
m
e
w
o
r
k
f
o
r
a
p
p
ly
i
n
g
b
u
s
in
e
s
s
in
te
llig
e
n
ce
s
o
lu
tio
n
i
n
m
ar
k
et
r
esear
ch
es.
T
h
e
p
r
o
p
o
s
ed
f
r
am
e
w
o
r
k
i
s
s
tr
u
ct
u
r
ed
in
f
o
u
r
p
h
ases
a
s
s
h
o
w
n
i
n
F
i
g
u
r
e
4
;
p
lan
n
i
n
g
,
an
al
y
zi
n
g
,
ex
ec
u
t
io
n
a
n
d
d
is
s
e
m
in
at
io
n
.
5
.
1
.
P
l
a
nn
ing
s
t
a
g
e
I
n
th
i
s
s
tag
e,
it
's
i
m
p
o
r
tan
t
to
o
b
tain
th
e
ap
p
r
o
v
als f
r
o
m
th
e
m
an
a
g
e
m
e
n
t,
ill
u
s
tr
ate
th
e
o
b
j
ec
tiv
es
a
n
d
g
o
als,
p
u
t
th
e
m
e
th
o
d
o
lo
g
y
f
o
r
ap
p
ly
in
g
an
d
cr
ea
te
th
e
p
lan
.
T
h
e
p
lan
n
in
g
s
t
u
d
y
in
c
lu
d
es
th
e
d
ata
m
o
d
elin
g
an
d
ac
q
u
is
itio
n
.
Af
ter
d
eter
m
i
n
in
g
t
h
e
m
ar
k
et,
b
u
s
in
e
s
s
i
n
te
llig
e
n
ce
s
o
lu
t
io
n
s
s
tar
t
s
to
co
llectin
g
in
ter
n
al
an
d
ex
ter
n
al
d
ata
w
h
ic
h
co
n
tai
n
i
n
g
all
t
y
p
es
o
f
d
ata
s
tr
u
ct
u
r
ed
,
s
e
m
i
-
s
tr
u
ct
u
r
ed
an
d
u
n
s
tr
u
ct
u
r
ed
d
ata
in
o
r
d
er
to
d
ata
m
o
d
eli
n
g
a
n
d
ac
q
u
is
itio
n
.
5
.
2
.
Ana
ly
zing
s
t
a
g
e
T
h
er
e
ar
e
m
a
n
y
an
a
l
y
t
ical
m
et
h
o
d
s
m
u
s
t
b
e
ap
p
lied
in
o
r
d
er
to
g
et
v
alu
e
o
u
t
s
u
c
h
a
s
O
L
A
P
s
,
p
lan
n
i
n
g
an
d
f
o
r
ec
ast
in
g
m
et
h
o
d
s
,
s
ta
tis
tical
m
o
d
els
o
p
ti
m
izatio
n
an
d
s
i
m
u
latio
n
.
I
n
th
e
an
al
y
s
is
s
ta
g
e,
t
h
er
e
ar
e
d
if
f
er
e
n
t
t
y
p
es
o
f
an
al
y
s
is
as
f
o
llo
w
i
n
g
;
s
tr
ateg
ic,
tactica
l
an
d
o
p
e
r
atio
n
al
an
al
y
s
is
.
E
ac
h
t
y
p
e
o
f
an
al
y
s
i
s
s
u
p
p
o
r
t th
e
d
if
f
er
en
t le
v
el
s
o
f
m
an
a
g
e
m
e
n
t; to
p
,
m
id
d
le
an
d
o
p
er
atio
n
al.
5
.
3
.
E
x
ec
utio
n sta
g
e
I
n
th
e
ex
ec
u
tio
n
s
ta
g
e,
th
er
e
is
a
n
ee
d
t
o
in
cr
ea
s
e
r
ev
en
u
e
an
d
r
e
d
u
ce
co
s
t.
T
h
e
b
u
s
in
ess
i
n
tellig
e
n
ce
s
o
lu
tio
n
’
s
r
o
le
is
to
tak
e
th
e
r
ig
h
t
d
ec
i
s
io
n
s
in
t
h
e
r
i
g
h
t
ti
m
e
to
m
a
x
i
m
ize
t
h
e
b
en
e
f
it
s
o
f
u
s
in
g
b
u
s
i
n
ess
in
telli
g
e
n
ce
s
o
l
u
tio
n
i
n
m
ar
k
e
t
r
esear
ch
es
a
n
d
f
ast
ac
ce
s
s
t
o
p
r
o
f
iles
o
f
cu
s
to
m
er
s
i
n
o
r
d
er
to
p
r
esen
t
r
ig
h
t
s
er
v
ices a
t t
h
e
r
ig
h
t ti
m
e.
Ma
n
y
r
ep
o
r
ts
ca
n
ex
ec
u
te
li
k
e
o
p
er
atio
n
al,
w
eb
,
an
d
ex
ce
p
tio
n
r
e
p
o
r
ts
.
I
n
t
h
is
s
ta
g
e,
t
h
e
b
u
s
i
n
ess
i
n
t
ellig
e
n
ce
s
o
lu
tio
n
ca
n
h
elp
al
l
lev
el
s
o
f
m
an
a
g
e
m
e
n
t.
A
t
a
s
tr
ateg
ic
le
v
el,
t
h
e
b
u
s
i
n
ess
in
tel
lig
e
n
ce
s
o
l
u
tio
n
ca
n
h
elp
t
h
e
to
p
m
an
a
g
er
s
t
o
p
u
t
th
e
s
tr
ate
g
ies
a
n
d
o
b
j
ec
tiv
e,
g
e
n
er
ate
s
m
ar
t
r
ep
o
r
ts
,
f
o
r
ec
ast
f
o
r
th
e
f
u
tu
r
e
,
m
ak
e
o
p
ti
m
izatio
n
an
d
s
i
m
u
latio
n
.
A
t
a
tact
ic
lev
e
l,
th
e
b
u
s
i
n
es
s
i
n
telli
g
e
n
ce
s
o
lu
tio
n
ca
n
h
elp
th
e
m
id
d
le
m
a
n
a
g
er
s
f
o
r
tak
i
n
g
d
ec
is
io
n
s
o
d
if
f
er
en
t
f
ield
s
s
u
ch
as
in
v
e
n
to
r
y
,
s
ales,
m
ar
k
et
in
g
,
f
in
a
n
ce
a
n
d
s
o
o
n
.
Fin
all
y
at
t
h
e
o
p
er
atio
n
al
le
v
el
,
b
u
s
in
e
s
s
i
n
tel
lig
e
n
ce
s
o
lu
tio
n
s
ca
n
b
e
u
s
ef
u
l
f
o
r
q
u
er
y
i
n
g
a
n
d
d
a
y
to
d
ay
o
p
er
atio
n
s
r
ep
o
r
ts
.
5
.
4
.
Dis
s
e
m
i
na
t
io
n sta
g
e
I
n
th
e
d
is
s
e
m
i
n
atio
n
s
ta
g
e,
t
h
e
r
e
ar
e
m
an
y
ap
p
licatio
n
s
co
n
ta
in
i
n
g
m
o
b
ile
ap
p
s
a
n
d
A
ler
ts
,
d
ash
b
o
ar
d
s
an
d
s
co
r
ec
ar
d
s
,
OL
A
P
an
al
y
s
i
s
,
d
ata
m
in
in
g
,
r
u
n
ti
m
e
r
ep
o
r
t
in
g
,
d
ec
is
io
n
en
g
i
n
es a
n
d
ad
v
a
n
ce
d
an
al
y
s
i
s
.
•
D
at
a
M
i
ni
ng
•
A
dv
an
c
e
d
A
na
l
y
si
s
•
Vi
su
al
an
d
O
LAP
an
al
y
si
s
An
aly
sis
•
D
as
hb
o
ar
ds
•
S
c
o
r
e
c
ar
ds
•
M
o
bi
l
e
A
pp
s
R
e
p
o
rt
in
g
•
M
ar
k
e
t
i
n
g
r
e
p
o
r
t
s
•
S
t
at
i
st
i
c
al
r
e
po
r
t
s
M
on
it
or
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8776
Usi
n
g
b
u
s
in
ess
in
tellig
en
ce
s
o
lu
tio
n
s
fo
r
fo
r
ec
a
s
tin
g
in
ma
r
ke
tin
g
r
esea
r
ch
es
(
C
h
r
is
tin
a
A
lb
ert R
a
ye
d
A
s
s
a
d
)
107
Fig
u
r
e
4
.
B
u
s
in
e
s
s
I
n
telli
g
en
c
e
s
o
lu
tio
n
f
r
a
m
e
w
o
r
k
6.
B
E
NE
F
I
T
S O
F
US
I
N
G
B
US
I
NE
SS
I
N
T
E
L
L
I
G
E
NC
E
S
O
L
UT
I
O
NS IN M
ARK
E
T
I
NG
RE
S
E
ARCH
E
S
B
I
h
elp
s
ad
m
i
n
i
s
tr
ato
r
s
b
y
b
r
ea
k
in
g
d
o
w
n
i
n
f
o
r
m
atio
n
f
r
o
m
v
ar
io
u
s
r
eso
u
r
ce
s
i
n
b
etter
b
asic
lead
er
s
h
ip
at
b
o
th
tactica
l
a
n
d
s
tr
at
eg
ic
le
v
el,
f
o
r
cu
s
to
m
ar
y
u
tili
za
tio
n
,
co
n
v
e
n
tio
n
a
l
d
ata
f
r
a
m
e
w
o
r
k
s
f
ar
e
w
ell,
y
et
f
o
r
h
ier
ar
c
h
ical
an
d
f
u
n
cti
o
n
al
p
lan
n
in
g
;
n
e
w
to
o
ls
ar
e
r
e
q
u
ir
ed
f
o
r
b
u
s
in
e
s
s
a
n
al
y
s
i
s
[
2
0
].
B
u
s
i
n
ess
a
n
al
y
tics
p
r
o
g
r
a
m
s
s
tr
ess
t
h
e
u
tili
za
tio
n
o
f
q
u
a
n
t
itativ
e
a
n
al
y
s
es,
p
r
ed
ictiv
e
m
o
d
els
an
d
s
tatis
t
ical
to
o
ls
to
h
elp
o
r
g
a
n
i
za
tio
n
al
lead
er
s
h
ip
g
ai
n
a
d
if
f
er
en
t
v
ie
w
o
f
t
h
eir
d
ata,
d
er
iv
e
m
ax
i
m
u
m
v
alu
e
f
r
o
m
it
s
in
ter
p
r
etatio
n
,
a
n
d
u
ti
lize
th
e
r
es
u
lts
to
i
m
p
r
o
v
e
d
ec
is
io
n
m
ak
in
g
an
d
p
r
o
b
le
m
s
o
l
v
in
g
[
2
1
].
T
h
er
e
ar
e
m
an
y
b
en
e
f
it
s
o
f
u
s
i
n
g
b
u
s
i
n
es
s
in
te
lli
g
en
ce
s
o
l
u
ti
o
n
s
in
m
ar
k
etin
g
r
esear
c
h
es a
s
:
-
An
al
y
ze
d
if
f
er
en
t t
y
p
es o
f
d
at
a
f
r
o
m
d
if
f
er
en
t so
u
r
ce
s
,
-
T
ak
e
in
tellig
e
n
t d
ec
is
io
n
s
o
n
t
h
e
d
if
f
er
en
t le
v
el
s
o
f
m
an
a
g
e
m
en
ts
,
-
I
m
p
r
o
v
e
ac
cu
r
ac
y
i
n
p
r
ed
ictio
n
s
i
n
d
if
f
er
en
t
f
ield
s
,
-
A
c
h
ie
v
e
o
p
er
atio
n
al
ef
f
icie
n
c
y
,
-
Ma
k
e
f
u
n
d
a
m
e
n
tal
c
h
an
g
es
s
er
v
in
g
as
f
i
n
d
in
g
n
e
w
co
llab
o
r
atio
n
s
,
ac
q
u
ir
i
n
g
n
e
w
c
u
s
to
m
er
s
,
o
p
en
in
g
n
e
w
m
ar
k
et
s
,
-
A
d
d
v
al
u
e
in
t
h
e
s
u
p
p
l
y
c
h
ai
n
f
o
r
th
e
p
r
o
d
u
cts o
r
s
er
v
ices to
th
e
cu
s
to
m
er
s
,
-
E
n
h
a
n
ce
t
h
e
ad
m
i
n
is
tr
ati
v
e
p
r
o
ce
s
s
ef
f
icie
n
c
ies
,
-
E
n
s
u
r
e
th
e
b
u
s
i
n
ess
s
tr
ateg
y
,
-
I
n
cr
ea
s
e
th
e
ec
o
n
o
m
ics
s
ca
les,
-
Of
f
er
th
e
f
u
l
l r
an
g
e
o
f
b
u
s
in
e
s
s
in
tel
lig
e
n
ce
f
u
n
ctio
n
alit
y
,
-
Gen
er
ate
in
teg
r
atio
n
r
ep
o
r
ts
to
d
ash
b
o
ar
d
s
,
OL
A
P
,
ad
h
o
c
q
u
er
ies an
d
m
o
b
ile
ap
p
licatio
n
s
,
-
I
n
cr
ea
s
e
ac
ce
s
s
ib
il
it
y
a
n
d
r
ea
l ti
m
e
ac
ce
s
s
,
-
Ag
ile
to
R
ap
id
Dev
e
lo
p
m
en
t a
n
d
Dep
lo
y
m
e
n
t
.
7.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
A
cc
o
r
d
in
g
to
t
h
e
p
r
ev
io
u
s
s
tu
d
ies,
th
er
e
ar
e
d
if
f
er
e
n
t
ap
p
r
o
ac
h
es
f
o
r
ap
p
l
y
i
n
g
b
u
s
i
n
es
s
i
n
telli
g
e
n
ce
s
o
lu
tio
n
s
.
T
h
e
u
s
i
n
g
o
f
b
u
s
i
n
e
s
s
in
telli
g
en
t
s
o
lu
tio
n
s
d
i
f
f
er
s
f
r
o
m
o
n
e
co
m
p
a
n
y
to
th
e
o
t
h
e
r
d
ep
en
d
in
g
o
n
th
e
s
ize
an
d
th
e
b
u
d
g
et
o
f
t
h
e
co
m
p
a
n
y
.
A
s
R
o
b
er
t
W
alter
s
s
aid
B
I
m
an
a
g
er
s
ar
e
in
cr
ea
s
in
g
l
y
u
til
is
i
n
g
B
I
f
o
r
p
er
f
o
r
m
a
n
ce
m
an
a
g
e
m
e
n
t
(
1
2
%)
an
d
p
r
ed
ictiv
e
an
al
y
s
is
(
1
3
%
)
to
p
r
o
m
o
te
b
u
s
i
n
es
s
g
r
o
w
t
h
[
2
2
].
T
h
e
p
er
ce
n
tag
es o
f
u
s
in
g
b
u
s
in
e
s
s
in
telli
g
e
n
ce
to
o
ls
ca
n
b
e
v
ie
wed
in
Fig
u
r
e
5
.
Pl
an
n
i
n
g
•
Data mo
d
e
l
i
n
g
•
Data aq
u
i
s
i
ati
o
n
A
n
al
y
zi
n
g
•
Data e
x
tr
ac
ti
o
n
•
Data tr
an
s
fo
rmati
o
n
E
x
e
c
u
ti
o
n
•
R
e
p
o
rt
i
n
g
•
F
o
rcatio
n
g
D
i
sse
mi
n
ati
o
n
B
us
ines
s
inte
lleg
ence
s
o
lutio
ns
Mo
b
i
l
e
ap
p
s
Das
h
b
o
ard
O
L
A
Pa
n
alys
i
s
Data mi
n
i
n
g
De
c
i
s
i
o
n
e
n
g
i
n
e
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8776
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
8
,
No
.
2
,
A
u
g
u
s
t
20
1
9
:
1
0
2
–
110
108
Fig
u
r
e
5
.
T
h
e
p
er
ce
n
tag
es o
f
u
s
in
g
b
u
s
in
e
s
s
i
n
telli
g
e
n
ce
to
o
ls
[
2
0
]
I
n
th
is
p
ap
er
,
b
y
ap
p
ly
i
n
g
b
u
s
in
es
s
in
tell
ig
e
n
ce
s
o
lu
t
io
n
s
f
r
am
e
w
o
r
k
o
n
s
o
m
e
co
m
p
an
ies
w
o
r
ld
w
id
e
as
a
p
ilo
t
s
t
u
d
y
w
h
ic
h
p
r
ese
n
tin
g
s
er
v
ices
l
ik
e
e
lectr
o
n
ic
b
an
k
i
n
g
,
telec
o
m
m
u
n
icatio
n
s
,
h
ea
lt
h
ca
r
e
s
er
v
ie
s
,
elec
tr
o
n
ic
b
an
k
i
n
g
an
d
elec
tr
o
n
ic
lear
n
in
g
.
T
h
e
co
m
p
an
i
es
w
il
l
n
ee
d
to
em
p
lo
y
co
s
t
-
ef
f
ec
t
iv
e
b
u
s
in
e
s
s
in
telli
g
e
n
ce
(
B
I
)
s
o
lu
tio
n
s
.
I
n
th
e
b
u
s
i
n
es
s
in
tell
ig
e
n
ce
s
o
lu
t
io
n
s
f
r
a
m
e
w
o
r
k
th
er
e
ar
e
s
o
m
e
p
h
ases
t
h
at
w
ill
ap
p
ly
in
m
an
y
co
m
p
an
ie
s
lik
e
p
lan
n
in
g
an
d
an
alzi
n
g
.
T
h
ese
t
w
o
p
h
ase
s
ar
e
u
s
ed
b
y
m
a
n
y
co
m
p
a
n
ies
i
n
o
r
d
er
to
f
o
r
ec
asti
n
g
an
d
p
r
ed
ictin
g
f
o
r
th
e
f
u
t
u
r
e.
A
cc
o
r
d
in
g
to
th
e
f
o
u
r
p
h
ases
i
n
t
h
e
b
u
s
i
n
es
s
in
t
ellig
e
n
ce
s
o
lu
tio
n
s
f
r
a
m
e
w
o
r
k
,
t
h
e
ap
p
l
y
i
n
g
p
er
en
tag
e
o
f
u
s
in
g
b
u
s
i
n
es
s
i
n
tel
lig
e
n
ce
i
n
p
lan
n
i
n
g
i
s
7
9
.
7
5
%,
th
e
s
ec
o
n
d
p
h
a
s
e
(
an
al
y
zi
n
g
p
h
a
s
e)
p
er
ce
n
ta
g
e
i
s
5
3
.
7
5
%,
th
e
t
h
ir
d
p
h
ase
(
ex
ec
tu
tio
n
p
h
a
s
e)
p
er
ce
n
tag
e
is
4
1
%
an
d
t
h
e
last
p
h
ase
(
d
is
s
e
m
i
n
atio
n
p
h
ase)
p
e
r
ce
n
t
ag
e
i
s
3
2
.
2
5
% a
s
s
h
o
w
n
in
F
ig
u
r
e
6
.
Fig
u
r
e
6
.
T
h
e
p
er
ce
n
tag
es o
f
t
h
e
f
r
a
m
e
w
o
r
k
's p
h
ase
s
A
cc
o
r
d
in
g
to
t
h
e
p
ilo
t
s
tu
d
y
,
t
h
e
g
r
ea
test
co
m
p
a
n
ie
s
t
h
at
ap
p
ly
in
g
b
u
s
i
n
es
s
i
n
telli
g
e
n
ce
s
o
lu
tio
n
s
is
telec
o
m
m
u
n
icatio
n
t
h
en
elec
t
r
o
n
ic
b
an
k
i
n
g
.
T
h
e
latest
co
m
p
a
n
ie
is
elec
tr
o
n
ic
lear
n
i
n
g
.
Far
th
er
m
o
r
e
t
h
e
p
an
n
i
n
g
a
n
d
an
al
y
zin
g
p
h
ase
s
ar
e
th
e
m
o
s
t
p
h
ase
s
in
ap
p
l
y
i
n
g
b
u
s
i
n
es
s
in
te
lli
g
en
ce
s
o
l
u
tio
n
s
f
o
r
th
e
d
i
f
f
er
e
n
t
co
m
p
a
n
ies
a
n
d
v
ar
y
f
r
o
m
f
iel
d
an
d
s
ec
to
r
to
an
o
th
er
as
s
h
o
w
n
in
F
ig
u
r
e
7
.
T
h
e
p
lan
n
in
g
an
d
an
alzi
n
g
p
h
as
es
is
v
er
y
u
s
e
f
u
l
f
o
r
f
o
r
ca
s
tin
g
i
n
th
e
m
ar
k
eti
n
g
r
esear
c
h
es.
Pl
a
n
n
i
n
g
7
9
.
7
5
%
A
n
a
l
y
zi
n
g
5
3
.
7
5
%
E
xec
u
t
i
o
n
41
%
D
i
s
s
em
i
n
a
t
i
o
n
3
2
.
2
5
%
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8776
Usi
n
g
b
u
s
in
ess
in
tellig
en
ce
s
o
lu
tio
n
s
fo
r
fo
r
ec
a
s
tin
g
in
ma
r
ke
tin
g
r
esea
r
ch
es
(
C
h
r
is
tin
a
A
lb
ert R
a
ye
d
A
s
s
a
d
)
109
Fig
u
r
e
7.
T
h
e
p
er
en
tag
es o
f
f
r
a
m
e
w
o
r
k
's p
h
ase
ac
co
r
d
in
g
to
d
if
f
er
e
n
t secto
r
s
B
y
ap
p
l
y
i
n
g
b
u
s
in
e
s
s
i
n
telli
g
e
n
ce
s
o
lu
tio
n
f
r
a
m
e
w
o
r
k
o
n
co
m
p
a
n
ie
s
,
w
e
ca
n
g
ain
t
h
e
r
es
u
l
ts
:
-
I
t
is
u
s
e
f
u
l
to
ap
p
l
y
i
n
g
b
u
s
in
e
s
s
in
te
lli
g
en
ce
s
o
l
u
tio
n
f
r
a
m
e
w
o
r
k
o
n
d
if
f
er
e
n
t
ca
teg
o
r
ies
o
f
s
ec
to
r
s
w
h
ic
h
p
r
o
m
o
ti
n
g
s
er
v
icies
a
n
d
p
r
o
d
u
cts
l
ik
e
telec
o
m
m
u
n
icatio
n
co
m
p
a
n
ies,
a
ir
lin
e
s
,
h
ea
lt
h
ca
r
e,
elec
tr
o
n
ic
lear
n
in
g
a
n
d
elec
tr
o
n
ic
b
an
k
in
g
m
a
n
u
f
ac
t
u
r
er
s
,
el
ec
tr
o
n
i
c
co
m
m
e
n
ce
b
u
s
in
e
s
s
e
s
,
r
etailer
s
,
f
i
n
an
c
ial
s
er
v
ices,
b
io
in
f
o
r
m
a
tics
a
n
d
h
o
tels
.
-
T
h
e
b
u
s
in
es
s
i
n
telli
g
e
n
ce
s
o
l
u
tio
n
f
r
a
m
e
w
o
r
k
ca
n
a
s
s
i
s
t
i
n
cu
s
to
m
er
r
elatio
n
s
h
ip
m
a
n
a
g
e
m
en
t
,
m
ar
k
e
t
r
esear
ch
,
cu
to
m
er
s
s
e
g
m
en
ta
tio
n
,
p
r
o
d
u
ct
p
r
o
f
itab
ilit
y
,
in
v
en
to
r
y
a
n
d
d
is
tr
ib
u
tio
n
an
al
y
s
i
s
,
s
tatis
t
ica
l
an
al
y
s
is
,
s
u
p
p
l
y
c
h
ai
n
m
a
n
ag
e
m
en
t,
s
tr
ateg
ic
m
a
n
ag
e
m
e
n
t,
B
u
s
in
e
s
s
P
r
o
ce
s
s
Ma
n
a
g
e
m
e
n
t,
k
n
o
w
led
g
e
m
an
a
g
e
m
e
n
t e
tc.
-
B
y
i
m
p
le
m
en
t
in
g
th
e
p
h
a
s
es
o
f
b
u
s
i
n
es
s
in
tel
lig
e
n
ce
s
o
l
u
ti
o
n
s
f
r
a
m
e
w
o
r
k
,
it
'
s
p
er
ef
er
ab
l
e
to
u
n
d
er
s
tan
d
ea
ch
p
h
ase.
A
l
s
o
th
er
e
ar
e
s
o
m
e
p
h
a
s
es
is
m
o
r
e
ap
p
lied
lik
e
u
s
i
n
g
b
u
s
i
n
es
s
i
n
telli
g
e
n
ce
i
n
p
lan
n
i
n
g
a
n
d
an
al
y
z
in
g
i
n
o
r
d
er
to
f
o
r
ec
asti
n
g
f
o
r
n
e
w
i
n
s
i
g
h
ts
a
n
d
d
ec
is
i
o
n
s
.
-
T
h
er
e
is
a
n
ee
d
to
q
u
ic
k
a
n
d
r
ea
l
ti
m
e
f
o
r
ca
s
t
in
g
a
n
d
an
al
y
ti
ca
l
s
y
s
te
m
s
th
r
o
u
g
h
t
h
e
g
l
o
b
aliza
tio
n
m
ar
k
e
t
to
r
ea
ch
to
a
n
e
w
i
n
s
i
g
h
ts
a
n
d
g
ain
o
p
p
o
r
tu
n
i
ties
a
n
d
ca
tch
d
ir
ec
tiv
es.
-
Usi
n
g
b
u
s
i
n
e
s
s
in
tel
lig
e
n
ce
s
o
l
u
tio
n
s
ca
n
u
s
e
in
d
ec
is
io
n
m
ak
in
g
to
d
ev
elo
p
an
d
p
r
ed
ict
in
m
ak
in
g
s
tr
ateg
ic
d
ec
is
io
n
s
.
8.
CO
NCLU
SI
O
N
B
u
s
i
n
ess
i
n
tell
ig
e
n
ce
s
o
l
u
tio
n
s
ca
n
i
m
p
r
o
v
e
b
u
s
i
n
ess
e
s
p
r
o
ce
s
s
m
o
d
eli
n
g
q
u
alit
y
an
d
p
r
esen
t
th
e
r
ig
h
t
s
o
lu
tio
n
i
n
t
h
e
r
ig
h
t
ti
m
e.
T
h
e
co
m
p
le
x
it
y
o
f
to
d
a
y
'
s
b
u
s
in
e
s
s
en
v
ir
o
n
m
en
t
r
eq
u
ir
es c
o
m
p
a
n
ies to
b
e
ag
ile
a
n
d
p
r
o
ac
tiv
e
in
r
elatio
n
to
d
ec
is
io
n
-
m
a
k
i
n
g
p
r
o
ce
s
s
e
s
[
23
]
.
A
cc
o
r
d
in
g
to
t
h
e
i
n
cr
ea
s
i
n
g
o
f
th
e
d
ata
t
y
p
es
a
n
d
v
o
lu
m
e
s
f
r
o
m
d
i
f
f
er
e
n
t
r
e
s
o
u
r
ce
s
in
th
e
o
r
g
an
iza
tio
n
,
th
e
b
u
s
i
n
ess
in
telli
g
en
ce
s
o
lu
tio
n
s
h
a
v
e
b
ec
o
m
e
n
ec
ess
ar
y
f
o
r
an
y
co
m
p
a
n
y
in
d
ec
i
s
io
n
m
a
k
in
g
i
n
m
ar
k
e
t
r
esear
ch
es.
A
ls
o
,
u
s
i
n
g
b
u
s
i
n
e
s
s
in
telli
g
en
ce
s
o
lu
tio
n
s
f
o
r
Fo
r
ec
as
tin
g
ca
n
h
a
v
e
a
g
o
o
d
r
o
le
in
i
m
p
r
o
v
i
n
g
th
e
ef
f
icien
c
y
o
f
m
ar
k
et
r
esear
ch
es,
w
h
ic
h
is
r
e
f
lecte
d
p
o
s
iti
v
el
y
o
n
t
h
e
p
lan
n
i
n
g
ac
c
u
r
ac
y
in
all
p
ar
ts
o
f
t
h
e
o
r
g
an
izatio
n
.
Fin
all
y
,
u
s
in
g
b
u
s
i
n
es
s
in
tel
lig
e
n
ce
f
o
r
f
o
r
ec
asti
n
g
in
m
ar
k
et
r
esear
ch
e
s
p
r
o
v
es
its
i
m
p
o
r
t
an
ce
an
d
u
s
e
f
u
ln
e
s
s
i
n
r
elatio
n
w
it
h
en
s
u
r
i
n
g
th
e
q
u
al
it
y
o
f
ec
o
n
o
m
ic
ac
ti
v
itie
s
an
d
p
r
o
ce
s
s
es
with
i
n
o
r
g
an
iza
tio
n
s
.
9.
F
UT
UR
E
WO
RK
T
h
e
p
r
o
p
o
s
ed
b
u
s
in
ess
i
n
telli
g
en
ce
f
r
a
m
e
w
o
r
k
ca
n
ap
p
l
y
in
d
if
f
er
en
t
m
ar
k
et
r
esear
ch
e
s
f
o
r
s
er
v
ices
an
d
p
r
o
d
u
cts.
A
l
s
o
th
e
b
u
s
i
n
es
s
in
te
llig
e
n
ce
s
o
lu
tio
n
s
n
ee
d
to
ev
alu
a
te
an
d
tes
t
in
o
r
d
er
to
esti
m
ate
t
h
e
i
m
p
ac
t
s
o
f
th
e
d
ec
is
io
n
s
i
n
th
e
m
ar
k
e
ts
r
esear
ch
es a
n
d
an
a
l
y
ze
t
h
r
o
u
g
h
ap
p
l
y
in
g
o
n
co
m
p
le
x
b
u
s
i
n
e
s
s
s
ce
n
ar
io
s
.
I
n
th
e
f
u
t
u
r
e
w
o
r
k
s
,
it
s
ess
e
n
ti
al
to
m
ea
s
u
r
e
m
ai
n
o
b
j
ec
tiv
es
o
f
u
s
i
n
g
in
te
lli
g
en
ce
s
o
l
u
tio
n
s
in
m
ar
k
et
r
esear
ch
es s
u
c
h
as e
f
f
icie
n
c
y
,
ef
f
ec
tiv
e
n
e
s
s
,
an
d
d
if
f
er
e
n
tiati
o
n
.
0
10
20
30
40
50
60
70
80
Plan
n
i
n
g
A
n
alyzin
g
E
x
e
c
u
ti
o
n
d
i
s
e
min
ati
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8776
I
n
t J
I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
8
,
No
.
2
,
A
u
g
u
s
t
20
1
9
:
1
0
2
–
110
110
RE
F
E
R
E
NC
E
S
[1
]
S
.
W
il
li
a
m
s a
n
d
N.
W
il
li
a
m
s,
“
T
h
e
Pro
fi
t
Imp
a
c
t
o
f
Bu
si
n
e
ss
In
tel
li
g
e
n
c
e
,
”
M
o
rg
a
n
Ka
u
f
m
a
n
n
,
2
0
1
0
.
[2
]
C.
V
e
rc
e
ll
is.
“
B
u
sin
e
ss
I
n
telli
g
e
n
c
e
:
Da
ta
M
i
n
in
g
a
n
d
O
p
ti
miza
t
io
n
f
o
r
De
c
isio
n
M
a
k
in
g
.
”
,
W
il
e
y
-
Blac
k
w
e
ll
,
2
0
0
9
.
[3
]
S
A
P
AG
.
“
Da
ta
W
a
re
h
o
u
si
n
g
(
BW
3
1
0
).
”
S
A
P
A
G
,
2
0
0
7
[4
]
Ke
n
t,
P
.
,
V
iewp
o
i
n
t:
Bi
g
d
a
ta
a
n
d
b
ig
a
n
a
lytics
me
a
n
s
b
e
tt
e
r
b
u
si
n
e
ss
,
f
ro
m
h
tt
p
:/
/w
ww
.
b
b
c
.
c
o
.
u
k
/n
e
w
s/b
u
sin
e
ss
-
1
9
9
6
9
5
8
8
,
2
0
1
2
.
[5
]
L
iu
L
u
h
a
o
,
“
S
u
p
p
ly
Ch
a
in
I
n
teg
r
a
ti
o
n
th
r
o
u
g
h
B
u
sin
e
ss
In
telli
g
e
n
c
e
;
M
a
n
a
g
e
me
n
t
a
n
d
S
e
rv
ice
S
c
ien
c
e
(M
AS
S
),
”
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Dig
it
a
l
Ob
jec
t
Id
e
n
ti
f
ier.
P
u
b
li
c
a
ti
o
n
Y
e
a
r:
2
0
1
0
,
P
a
g
e
(s):
1
–
4
IEE
E
Co
n
f
e
re
n
c
e
s.
[6
]
Zu
lu
a
g
a
,
G
iv
a
n
n
i
G
o
m
e
z
,
“
Sm
a
rt
De
c
isio
n
I
n
f
ra
stru
c
tu
re
:
A
rc
h
it
e
c
tu
re
Disc
u
ss
io
n
.
”
Cy
b
e
rn
e
ti
c
s
&
S
y
ste
ms
,
v
o
l.
4
2
no.
2
,
p
p
.
1
3
9
-
1
5
5
,
M
a
rc
h
2
0
1
1
.
[7
]
B.
S
a
jj
a
d
,
A
.
M
ir,
A
.
Kh
a
w
a
r,
F
.
Ba
sh
ir
a
n
d
A
.
T
a
riq
,
"
A
n
o
p
e
n
s
o
u
rc
e
se
rv
ice
o
rien
ted
M
o
b
il
e
Bu
si
n
e
ss
In
telli
g
e
n
c
e
T
o
o
l
(M
BIT
),
"
2
0
0
9
I
n
te
rn
a
t
io
n
a
l
Co
n
fer
e
n
c
e
o
n
In
fo
rm
a
t
io
n
a
n
d
Co
mm
u
n
ica
ti
o
n
T
e
c
h
n
o
l
o
g
ies
,
Ka
ra
c
h
i,
2
0
0
9
,
p
p
.
235
-
2
4
0
.
[8
]
W
.
H.
In
m
o
n
,
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u
il
d
in
g
t
h
e
Da
ta
W
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re
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o
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se
.
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IS
BN:
9
7
8
-
0
7
6
4
5
9
9
4
4
6
,
J
o
h
n
W
il
e
y
&
S
o
n
s,
2
0
0
5
.
[9
]
S
A
P
AG
,
Da
taSo
u
rc
e
,
h
tt
p
:
//
h
e
l
p
.
sa
p
.
c
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m
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p
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w
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3
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7
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2
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/f
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,
2
0
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3
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0
]
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A
P
AG
,
P
e
rsiste
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tag
in
g
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re
a
,
h
tt
p
:
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tm
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2
0
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3
.
[1
1
]
S
A
P
AG
,
“
BI
-
E
n
ter
p
rise
Rep
o
rt
in
g
,
Qu
e
ry
&
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a
lys
is (
Pa
rt I
)
(
BW
3
0
5
).
”
S
A
P
A
G
,
2
0
0
7
.
[1
2
]
J.
He
,
C.
W
u
a
n
d
J.
L
i,
"
Re
se
a
rc
h
o
n
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b
a
se
d
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h
t
-
T
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m
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sin
e
ss
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telli
g
e
n
c
e
S
y
ste
m
,
"
2
0
1
0
2
n
d
IEE
E
In
ter
n
a
t
io
n
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l
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o
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fer
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n
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n
I
n
fo
r
ma
ti
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M
a
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g
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me
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t
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n
d
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n
g
in
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rin
g
,
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h
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g
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u
,
2
0
1
0
,
p
p
.
4
7
6
-
4
7
9
.
[1
3
]
A
.
P
a
lm
e
r
a
n
d
B.
Ha
rtl
e
y
,
“
T
h
e
Bu
sin
e
ss
a
n
d
M
a
rk
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ti
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g
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n
v
iro
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m
e
n
t,
3
r
d
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d
.
,
”
L
o
n
d
o
n
:
M
c
G
ra
w
-
Hill
,
1
9
9
6
.
[1
4
]
G
u
a
rd
a
,
G
a
sp
a
r
d
o
s
S
a
n
to
s
e
t
a
l.
“
Per
v
a
siv
e
Bu
sin
e
ss
In
telli
g
e
n
c
e
:
a
M
a
rk
e
ti
n
g
I
n
telli
g
e
n
c
e
Fra
me
wo
rk
Pro
p
o
sa
l
.
”
(2
0
1
5
).
[1
5
]
W
.
W
.
Ec
k
e
rso
n
,
“
Per
fo
rm
a
n
c
e
Da
sh
b
o
a
rd
s:
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e
a
su
ri
n
g
,
M
o
n
it
o
rin
g
,
a
n
d
M
a
n
a
g
i
n
g
Y
o
u
r
B
u
sin
e
ss
,
”
W
il
e
y
,
2
0
1
0
.
[1
6
]
J.
Ra
n
jan
,
“
Bu
sin
e
ss
ju
st
if
ica
t
io
n
w
it
h
b
u
si
n
e
ss
in
telli
g
e
n
c
e
,
”
VIN
E
,
v
o
l.
3
8
,
n
o
.
4
,
p
p
.
4
6
1
-
4
7
5
,
2
0
0
8
.
[1
7
]
Yu
ju
n
Ba
o
e
t
a
l,
“
Res
e
a
rc
h
o
f
B
u
sin
e
ss
In
telli
g
e
n
c
e
W
h
ich
Ba
se
d
Up
o
n
W
e
b
,”
E
-
Bu
si
n
e
ss
a
n
d
In
f
o
rm
a
ti
o
n
S
y
ste
m
S
e
c
u
rit
y
.
EBIS
S
'
0
9
.
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Dig
it
a
l
Ob
jec
t
Id
e
n
ti
f
ier.
P
a
g
e
(s):
1
–
4
IEE
E
Co
n
f
e
re
n
c
e
s,
2
0
0
9
.
[1
8
]
S
h
a
rp
,
S
.
,
“
Co
m
p
e
ti
ti
v
e
I
n
telli
g
e
n
c
e
Ad
v
a
n
t
a
g
e
:
Ho
w
to
M
in
imize
Ri
sk
,
Avo
i
d
S
u
r
p
rise
s,
a
n
d
Gr
o
w
Y
o
u
r
Bu
si
n
e
ss
in
a
Ch
a
n
g
in
g
W
o
rl
d
,
”
W
il
e
y
,
2
0
0
9
.
[1
9
]
A
.
Ha
b
u
l
a
n
d
A
.
P
il
a
v
-
V
e
li
c
,
"
B
u
sin
e
ss
in
telli
g
e
n
c
e
a
n
d
c
u
sto
me
r
r
e
la
ti
o
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sh
i
p
m
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g
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me
n
t,
"
P
ro
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d
in
g
s
o
f
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IT
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2
0
1
0
,
3
2
n
d
In
ter
n
a
ti
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f
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rm
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ti
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T
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n
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lo
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n
terf
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c
e
s
,
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v
tat,
2
0
1
0
,
p
p
.
1
6
9
-
1
7
4
.
[2
0
]
Ra
so
u
l,
D.
G
.
,
a
n
d
M
o
h
a
m
m
a
d
,
H.,
A
m
o
d
e
l
o
f
m
e
a
su
rin
g
th
e
d
irec
t
a
n
d
im
p
a
c
t
o
f
b
u
sin
e
ss
in
telli
g
e
n
c
e
o
n
o
rg
a
n
iza
ti
o
n
a
l
a
g
il
it
y
w
it
h
p
a
rti
a
l
M
e
d
iato
ry
ro
le
o
f
E
m
p
o
we
r
m
e
n
t
:
T
e
h
ra
n
c
o
n
stru
c
ti
o
n
En
g
in
e
e
rin
g
Org
a
n
iza
ti
o
n
(T
CEO)
a
n
d
EKTA
o
rg
a
n
iza
ti
o
n
in
d
u
stries
.
c
o
.
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o
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l
a
n
d
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a
v
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ra
l
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c
ien
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e
s
, v
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l.
2
3
0
,
p
p
.
4
1
3
-
4
2
1
,
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0
1
6
.
[2
1
]
Ra
th
o
re
,
S
.
,
P
a
n
w
a
r,
A
.
,
&
S
o
ra
l,
P
.
,
“
Crit
ica
l
f
a
c
to
rs
f
o
r
su
c
c
e
ss
f
u
l
im
p
le
m
e
n
tatio
n
o
f
b
u
si
n
e
ss
a
n
a
ly
ti
c
s:
Ex
p
lo
ra
to
ry
f
in
d
in
g
s
f
ro
m
se
lec
t
c
a
se
s.
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
B
u
sin
e
ss
An
a
lytics
a
n
d
I
n
telli
g
e
n
c
e
,
v
o
l.
2
,
n
o
.
2
,
p
p
.
12
-
2
2
,
2
0
1
4
.
[2
2
]
Ro
b
e
rt
W
a
lt
e
rs,
Y
o
u
r g
u
id
e
t
o
t
h
e
2
0
1
8
b
u
si
n
e
ss
in
telle
g
e
n
c
e
ma
rk
e
t
,
ww
w
.
ro
b
e
rtw
a
lt
e
r
s.c
o
.
u
k
,
2
0
1
8
.
[2
3
]
P
.
Bo
c
ij
,
A
.
G
re
a
sle
y
,
a
n
d
S
.
Hic
k
ie,
“
Bu
sin
e
ss
i
n
fo
rm
a
t
io
n
sy
ste
ms
:
T
e
c
h
n
o
l
o
g
y
,
d
e
v
e
lo
p
me
n
t
a
n
d
ma
n
a
g
e
me
n
t,
”
F
t
P
re
ss
,
2
0
0
9
.
B
I
O
G
RAP
H
Y
O
F
AUTHO
R
Ch
risti
n
a
A
lb
e
rt
Ra
y
e
d
A
ss
a
d
A
s
so
c
iate
P
ro
f
e
ss
o
r
Co
m
p
u
ter an
d
I
n
f
o
rm
a
ti
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n
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y
ste
m
D
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rt
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e
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a
n
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m
e
n
t
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c
ien
c
e
,
Ca
iro
,
Eg
y
p
t
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