This document discusses graph databases and their growing use. It notes that Forrester estimates over 25% of enterprises will use graph databases by 2017. It then discusses several case studies of companies using Neo4j graph database solutions including Walmart for online recommendations, UBS for access management and entitlement, and Belgian Railroads for impact analysis of timetable changes.

1. Welcome
to
GraphDay!
Stockholm
2015

2. “Forrester
es)mates
that
over
25%
of
enterprises
will
be
using
graph
databases
by
2017”
Neo4j
Leads
the
Graph
Database
Revolu;on
“Neo4j
is
the
current
market
leader
in
graph
databases.”
“Graph
analysis
is
possibly
the
single
most
effec;ve
compe;;ve
differen;ator
for
organiza)ons
pursuing
data-­‐driven
opera)ons
and
decisions
aGer
the
design
of
data
capture.”

3. Solu;ons
with
Neo4j
Online
Recommenda;ons
Graphday
Stockholm
2015

4. FIRST:
need
to
make
some
fun
of
Jim

5. Solu;ons
with
Neo4j
Online
Recommenda;ons
Graphday
Stockholm
2015

6. Walmart
BUSINESS
CASE
World’s
largest
company
by
revenue
World’s
largest
retailer
and
private
employer
SF-­‐based
global
e-­‐commerce
division
manages
several
websites
Found
in
1969
Bentonville,
Arkansas
• Needed
online
customer
recommenda)ons
to
keep
pace
with
compe))on
• Data
connec)ons
provided
predic)ve
context,
but
were
not
in
a
usable
format
• Solu)on
had
to
serve
many
millions
of
customers
and
products
while
maintaining
superior
scalability
and
performance

7. Walmart
SOLUTION
• Brings
customers,
preferences,
purchases,
products
and
loca)ons
into
a
graph
model
• Uses
connec)ons
to
make
product
recommenda)ons
• Solu)on
deployed
across
Walmart
divisions
and
websites
N e o Te c h n o l o g y, I n c C o n f i d e n t i a l
GRAPHS ARE EATING RETAIL
CUSTOMERS ORDERS PRODUCT
CATEGORY
THE PROBLEM
CONNECTIONS HOLD PREDICTIVE CONTEXT
!
CONNECTIONS IN THE DATA NOT IN A
USABLE FORMAT
OTHER EXAMPLES
THE SOLUTION
BRING THE DATA INTO A GRAPH
SO THAT THE CONNECTIONS
CAN BE USED TO MAKE
PRODUCT RECOMMENDATIONS.
COMPETITIVE PRESSURE DEMANDS ONLINE
RECOMMENDATIONS.

8. Solu;ons
with
Neo4j
En;tlement
/
Access
Management
Graphday
Stockholm
2015

9. UBS
BUSINESS
CASE
• Needed
to
provide
UBS
clients
with
a
360°
view,
including
“e-­‐commerce”
capabili)es
with
news
feeds,
quotes,
etc.
into
one
plaorm
called
UBS
Neo
• Many
different
roles
and
rights,
cross-­‐cu_ng
across
func)onal
and
hierarchical
boundaries,
both
internally
and
externally
Investment
Bank
Fortune
50
company

10. UBS
SOLUTION
•
Simpler
onboarding
of
clients
leading
to
reduced
wai)ng
)mes
•
Real-­‐)me
view
on
access
rights
–
no
need
for
former
caching
infrastructure
(GemFire)
•
Simpler
opera)onal
maintenance
and
support
at
reduced
cost

11. Solu;ons
with
Neo4j
Impact
Analysis
Graphday
Stockholm
2015

12. Belgian
Railroad
BUSINESS
CASE
• Rail
)metables
were
created
on
a
regular
basis
for
impact
analysis
• Changes
to
)metable
not
only
affect
local
tracks
in
a
local
sta)on,
can
affect
en)re
opera)ng
network
• Current
situa)on
was
relying
on
local
domain
exper)se
of
sta)on
managers

13. Belgian
Railroad
SOLUTION
• Whenever
track
changes
need
to
be
made
to
local
train
sta)on
)metables,
the
planners
use
an
online
tool
to
find
out
what
change
would
have
the
minimal
impact
•
on
their
part
of
the
network
(the
sta)on)
•
on
the
rest
of
the
network
• Changes
are
implemented
automa)cally
(down
to
the
tracks
themselves
where
possible)
and
delays
are
reduced
to
a
minimum

14. Upcoming
Events
• GraphConnect
London