220
consultants,
enthusiasts,
engineers,
cra2smen,
experts,
nerds
• build
systems
to
create
value
from
big
data
• help
businesses
scale
so2ware
• realize
agile
so2ware
development
–
with
our
customer‘s
in
house
development
and
in
custom
so2ware
development
We
are
codecentric.
My
Goal
today:
• Present
a
structured
overview
(with
examples
from
market
leaders)
on
the
ways
BigData
&
AnalyLcs
can
add
value
in
the
context
of
Industry
4.0
n=All
&
t=now
It
is
no
longer
enough
to
plan
and
produce
for
averages
(Lme,
space,
customers),
but
necessary
to
opLmize
for
the
individual,
precise
locaLons
and
now
Big
Data
+
Industry
4.0
Shared
Challenge
With
every
product
available
everywhere
at
the
click
of
a
buRon,
customizaLon
of
products
and
services
to
ever
smaller
customer
groups
becomes
paramount.
Big
Data
Technology
Value
Proposi8on:
lower
the
cost
to
build
systems
that
do
more
complex
processing
with
more
data
faster.
Most
common,
but
not
topic
today.
AnalyLcs
Business
Value
Models
• Data
Driven
Business
– OperaLonal
Excellence
– Customer
InLmacy
– Product
Leadership
• Analy8cs
as
added
Value
• Data
&
AnalyLcs
as
Business
Opera8onal
Excellence:
Use
of
data
to
increase
the
efficiency
in
the
creaLon
of
products
and
service,
e.g.
through
proacLve
maintenance
based
on
data
from
track
mounted
sensors.
Metropolitan
Transporta8on
Union
Pacific
Opera8onal
Excellence:
Most
prominent
concrete
use
cases,
subjecLve
selecLon
from
“Big
Data
AnalyLcs
–
auf
dem
Weg
zur
Datengetriebenen
Wirtscha2”,
BARC
Research
Use
Case
Department
Use
BDA
Plan
BDA
Log
File
Analysis
and
Performance
OpLmizaLon
IT
27%
59%
SimulaLon
and
Scenario
based
Risk
Analysis
Controlling
20%
69%
Inventory
OpLmizaLon
LogisLcs
18%
47%
ProacLve
Maintenance
ProducLon
/
Customer
Service
9/10 %
40/
41%
Customer
In8macy:
Use
of
data
to
beRer
tailor
products
and
services
to
customers,
e.g.
instantly
display
a
prospecLve
customers
value
in
order
to
tailor
offers
to
that.
Meena
Kadri
@
Flickr
Customer
In8macy:
Most
prominent
concrete
use
cases,
subjecLve
selecLon
from
“Big
Data
AnalyLcs
–
auf
dem
Weg
zur
Datengetriebenen
Wirtscha2”,
BARC
Research
Use
Case
Department
Use
BDA
Plan
BDA
Customer
LifeLme
Value
Analysis
and
PredicLon
MarkeLng
26%
60%
Analysis
of
Customer
Behaviour
Customer
Service
20%
69%
Customer
SegmentaLon
MarkeLng
19%
54%
Trend
/
Market
Analysis
R
&
D
17%
63%
Product
Leadership:
Use
of
data
to
create
products
of
unmatched
quality,
e.g.
through
the
systemaLc
collecLon
of
DRO
data
for
all
cars
throughout
their
lifecycle.
Volvo
Product
Leadership:
Most
prominent
concrete
use
cases,
subjecLve
selecLon
from
“Big
Data
AnalyLcs
–
auf
dem
Weg
zur
Datengetriebenen
Wirtscha2”,
BARC
Research
Use
Case
Department
Use
BDA
Plan
BDA
Test
Data
Analysis
R&D
20%
52%
Root
Cause
Analysis
ProducLon
13%
59%
PaRern
DetecLon
in
Customer
Complaints
Customer
Service
7%
61%
Warranty
Analysis
Customer
Service
6%
39%
AnalyLcs
Business
Value
Models
• Data
Driven
Business
• Analy8cs
as
added
Value
– Capital
Goods
– Intermediate
Goods
– Consumer
Goods
• Data
&
AnalyLcs
as
Business
AnalyLcs
Business
Value
Models
• Data
Driven
Business
• Analy8cs
as
added
Value
– Capital
Goods
• Vision
“No
unplanned
downLme”*
• Asset
OpLmizaLon
• Enterprise
OpLmizaLon
– Intermediate
Goods
– Consumer
Goods
• Data
&
AnalyLcs
as
Busines
*:
credits
to
Jeff
Immelt,
GE
Enterprise
Op8miza8on:
Find
an
opLmal
course
of
acLon
in
the
deployment
of
asset,
e.g.
an
opLmal
sequence
for
re-‐starLng
flights
a2er
a
large
disturbance
Taleris
AnalyLcs
Business
Value
Models
• Data
Driven
Business
• Analy8cs
as
added
Value
– Capital
Goods
– Intermediate
Goods
– Consumer
Goods
• Data
&
AnalyLcs
as
Busines
Analy8cs
as
added
value
for
intermediate
goods:
E.g. machines
and
services
to
opLmize
agricultural
yield
down
to
the
square
foot.
Monsanto
integrated
farming
systems
AnalyLcs
Business
Value
Models
• Data
Driven
Business
• Analy8cs
as
added
Value
– Capital
Goods
– Intermediate
Goods
– Consumer
Goods
• Data
&
AnalyLcs
as
Busines
AnalyLcs
Business
Value
Models
• Data
Driven
Business
• Analy8cs
as
added
Value
– Capital
Goods
– Intermediate
Goods
– Consumer
Goods
• Data
&
AnalyLcs
as
Busines
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