1. GIS
and
BI
becomes
SI
Geographical
Informa6on
Systems
(GIS)
and
Business
Intelligence
(BI)
becomes
Spa6al
Intelligence
(SI)
S6g
Arne
Kristoffersen,
August
2014

2. GIS
and
BI
more
integrated
• Lately
GIS
and
BI
has
found
mutual
benefits
and
begun
to
leverage
each
others
strength
for
mutual
benefit.
• Has
opened
up
a
new
user
group
market
for
both
segments
and
begun
to
create
a
new
market
• The
users
are
responding
with
new
applica6ons
that
leverage
the
synergy
of
the
combined
technologies.
• technological
advancements
have
fostered
their
integra6on,
and
the
synergis6c
benefits
of
integrated
applica6ons
benefit
the
en6re
organiza6on
of
a
company
without
disrup6ng
exis6ng
IT
environments.
• Loca6on
based
extrac6on,
transforma6on,
and
loading
(ETL)
process
in
the
BI
environment
creates
u6liza6on
of
new
data
that
may
not
have
anything
in
common
with
exis6ng
data
other
than
the
loca6on
• service-­‐oriented
architecture
(SOA)
has
begun
supplan6ng
or
augmen6ng
data
warehousing
in
BI
implementa6ons.
One
of
the
business
advantages
of
this
plaQorm
is
that
repor6ng
and
decision
making
are
based
on
a
common
opera6onal
picture,
or
"single
version
of
the
truth."
• BI
has
become
more
graphics
intensive,
typically
charts,
are
now
a
common
component
of
reports.
As
access
to
BI
data
became
more
6mely,
graphic
dashboards
were
developed
to
monitor
key
business
processes.
• adop6on
of
standards
enabling
BI
and
GIS
applica6on
providers
concentra6ng
on
working
with
the
data
that
was
most
important
to
users.
The
BI
providers
were
crea6ng
connectors
for
the
most
common
file
formats
used
by
business
applica6ons,
and
GIS
providers
were
crea6ng
connec6ons
and
transforma6ons
for
the
geographic
feature
formats.
• GISI
and
BI
applica6on
providers
have
technology
plaQorms
and
applica6ons
that
can
meet
the
needs
of
enterprise
implementa6ons,
BI
and
GIS
applica6ons
are
commonly
implemented
in
unrelated
opera6onal
units
within
an
organiza6on.
Adop6on
of
standard
technology
architectures
made
integra6ng
GIS
and
BI
easier.

3. Intelligent
Maps
Jack
Dangermond,
president
of
ESRI,
stated,
"While
business
intelligence
plaQorms
provide
access
to
data
across
the
enterprise,
GIS
is
able
to
present
this
aggregated
data
as
context-­‐
rich
maps.
These
maps
give
organiza6ons
a
powerful
new
tool
to
proac6vely
manage
their
opera6ons."
Spa6al
Data
Mining

4. Spa6al
Intelligence
on
Web
ERP
Data
CRM
Data
Legacy
Data
GIS
Features
DBMS
Extract
Transform
and
Load
GIS
Web
Server
Data
Warehouse
Web
based
Intelligent
Maps
Many
Architecture
proposals
with
standard
connectors

5. Spa6al
Intelligence
on
Web
Data
Warehouse
GIS
Features
BI
Server
GIS
Server
Desktop
BI
Web
BI
Desktop
GIS
Web
GIS
The
BI
and
GIS
Servers
are
integrated
to
expose
GIS
func6onality,
or
the
results
of
geographic
analysis,
in
the
BI
user
interface.
Conversely,
BI
func6onality,
or
the
results
of
sta6s6cal
business
analy6cs,
can
be
exposed
in
the
GIS
user
interface.
Adop6on
of
SOA
by
organiza6ons
has
expedited
the
u6liza6on
of
server-­‐
based
BI
and
GIS.
SOA
can
take
advantage
of
these
sophis6cated
connec6ons,
or
adapters,
to
periodically
update
a
higher
level
of
data
aggrega6on,
such
as
an
online
analy6cal
processing
(OLAP)
cube,
and/or
run
a
persistent
model
in
real
6me.
There
are
many
versions
and
each
user
group
seems
to
define
its
own

6. ROI
on
SI
Investments
Organiza6ons
have
implemented
large
BI
systems
and
are
looking
for
ways
to
extract
more
value
from
their
significant
investments
in
assets/
products
and
data.
Incorpora6ng
GIS
to
analyze
and
display
exis6ng
but
underu6lized
loca6on
data
is
a
rela6vely
inexpensive
approach
to
improved
return
on
investment
(ROI).
BI
is
good
at
providing
specific
reports
to
select
users
at
specified
6mes
and
has
a
powerful
communica6on
and
decision-­‐making
capability.
BI
brings
trusted
and
secured
distribu6on
of
massive
datasets
throughout
the
en6re
organiza6on
and
gives
the
answers
to
WHO,
WHAT
and
WHEN
GIS
has
unique
powers
to
analyze
and
display
loca6on
data.
GIS
brings
advanced
Spa6al
Analysis
and
high
impact
visuals,
hence
the
Answers
as
to
WHERE
Combining
the
BI
and
GIS
to
create
SI
will
prove
to
create
larger
ROI
on
a
company
investment
in
both
raw
data,
analy6cal
material
and
investments
in
assets/
products
etc.
GIS
brings
unique
char6ng
capabili6es
to
BI
in
the
form
of
spa6al
rela6onship
and
distribu6on
charts.
Systems
SAP
Business
Objects,
Informa6on
Builders,
IBM
Cognos,
SAS
BI,
TIBCO
Companies
BI
Server,
Web
Focus,
Apos
System,
Integeo,
Galigeo,
SpotOn
System,
MapIt
by
ESRO,
BearingPoint
and
Accenture
Spa6al
perspec6ve
on
a
Important
Company’s
Business
Intelligence

7. Solu6on
Concepts
Web
Making
SI
available
to
everyone,
wherever
they
need
it
Desktop
Mobile
Cloud
Enterprise
Local
QC
Standards
Visualize
Authoring
Edit
Publish
Integrate
Collaborate
Discover
Manage
Analyze

8. SI
in
E&P
Business
• Facilitate
E&P
organiza6ons
to
perform
planning,
prospect
and
field
Management
to
facilitate
greater
gains
in
the
Upstream
value
chain
by
enabling
the
spa6al
component
within
the
E&P
BI
work
throughout
the
whole
organiza6on.
• Gain
new
ways
to
analyze
and
gain
knowledge
from
high
cost
data
and
evalua6ons
performed
already.
• Mi6gate
risks,
or
said
the
other
way
increase
the
chance
of
Success.
• Spa6al
Analy6cs
give
great
ROI
for
E&P
with
appropriate
and
well
planned
SI
projects.
• Ease
to
publish
and
create
interac6ve
intelligent
web
based
maps
with
appropriate
BI
for
your
company
requirement
• Convey
an
immense
amount
of
informa6on
quickly
• Collabora6on
and
communica6on
plaQorm
• Data
enrichment
opportuni6es
Share
cri6cal
data
for
decision
making
and
analysis
• New
ways
of
visualize
and
analyze
data
Release
data
from
their
func6onal
silos,
business
managers
and
obtain
an
aggregated
view
of
their
opera6ons
and
enhance
their
understanding
of
the
opportuni6es
and
the
interdependencies
between
assets
to
op6mize
resource
alloca6on
and
capital
investment
decisions.
Enable
a
fully
interac6ve
unified
view
of
your
opera6ons
Contributes
to
Safety,
Risk
Management
and
Compliance.
Spa6al
perspec6ve
on
Important
Company’s
Business
Intelligence

9. SI
in
E&P
Business
Take
control
of
your
informa6on
Event-­‐driven,
connec6ng
data,
applica6ons,
people,
and
processes,
ensuring
that
events
and
data
from
one
applica6on
are
available,
reliable
and
ac6onable
for
other
applica6ons
in
real
6me.
As
all
the
data
and
events
across
your
ecosystem
are
integrated,
you
get
a
unified
view
of
your
opera6ons
to
enable
you
to
op6mize
the
en6re
value
chain.
Correlate
historical
and
real-­‐6me
events,
posi6on
you
to
an6cipate
problems
and
opportuni6es
before
they
arise
and
proac6vely
make
decisions.
By
seamlessly
integra6ng
real-­‐
6me
event
streams
and
predic6ve
models,
you
can
move
beyond
the
limita6ons
of
historical
data
analysis
and
iden6fy
opportuni6es
and
risks
in
real
6me.
Interact
with
the
data,
see
it
in
a
variety
of
visualiza6ons,
query
it
and
see
results
immediately
in
an
immersive
environment.
As
you
engage
in
self-­‐service
discovery,
you
are
empowered
to
make
decisions
without
relying
on
IT
professionals.
Strategically
manage
the
well
lifecycle
using
data
integra6on
and
collabora6on
tools,
data
visualiza6on
and
predic6ve
analy6cs.