GraphDay Stockholm - Graphs in the Real World: Top Use Cases for Graph Databases

Welcome to the

Stockholm GraphDay!

Agenda9.30-9.45 Welcome!

9.45-10.15: Graph databases in a Digital Economy 10.15-10.45 Graphs in the Real World - Top Use Cases

Break

11.15-12.00 Neo4j in Practice - exploring a Fraud use case 12.00-12.30 Hästens & NetConsult + Digitization and optimising business

performance with Neo4j

Agenda12.30-13.45 Lunch!

13.45-16.30 Training Sessions 13.45-16.30 Graph Clinics!

CONNECT!Don’t be a lonely document!

#graphday #neo4j

WIFI = Konferens-7A Code: konferens786

Driving Digital Transformation With Neo4jGRAPHS IN THE REAL WORLD

Stockholm, February 25, 2016

WHAT IS A GRAPH?

A Graph Is

ROAD

TRAFFIC

LIGHTS

A Graph IsH

AS

HAS

HA

S

AVAILABLE

HOTEL

ROOMS

AVAILABLE

A Graph Is

KNOWS

KN

OW

S

KNOWS

WO

RK

S_AT

WORKS_AT

WORKS_AT

COMPANY

STANFORD

STU

DIE

D_A

T

KNOWS

NEO

COLUMBIA

STU

DIE

D_A

T

STUDIED_AT

STUDIED_AT

NAME:ANNE

SINCE:2012

A Graph Is

NAME:ANNE

SINCE:2012

A Graph Is

Use of Graphs has created some of the most successful companies in the world

C34,3%B

38,4%A3,3%

D3,8%

1,8%1,8% 1,8%

1,8%

1,8%

E8,1%

F3,9%

WHAT IS A GRAPH DATABASE?

A way of storing data

DATA DATA

Relational Database

Good for:


• Pre-computed • Pre-determined purpose • Limited context • Static

Graph Database

Relational Database


Good for: • Pre-computed • Pre-determined purpose • Limited context • Static

Good for: • Real-time• Dynamic structure• Highly contextual• Flexible and scalable

GRAPHS IN THE REAL WORLD

NEO4j USE CASESReal Time Recommendations

Master Data Management

Fraud Detection

Identity & Access Management

Graph Based Search

Network & IT-Operations



Fraud Detection


Graph Based Search


VIEW

ED

GRAPH THINKING: Real Time Recommendations

VIEWED

BOUG

HT

VIEWED BOUGHT

BOUGHT

BO

UG

HT

BOUG

HT

“As the current market leader in graph databases, and with enterprise features for scalability and availability, Neo4j is the right choice to meet our demands.” Marcos Wada

Software Developer, Walmart



Fraud Detection


Graph Based Search




Fraud Detection


Graph Based Search


GRAPH THINKING: Master Data Management

MANAGES

MANAGES

LEADS

REGION

MANAGES

MANAGES

REGION

LEADS

LEADS

COLL

ABO

RATE

S

Neo4j is the heart of Cisco HMP: used for governance and single source of truth and a one-stop shop for all of Cisco’s hierarchies.



Fraud Detection


Graph Based Search




Fraud Detection


Graph Based Search


OPENED_ACCOUNT

HAS IS_ISSUED

GRAPH THINKING: Fraud Detection

HAS

LIVES LIVES

IS_ISSUED

OPE

NED_

ACCO

UNT

“Graph databases offer new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time.”

Gorka SadowskiCyber Security Expert



Fraud Detection


Graph Based Search


GRAPH THINKING: Graph Based Search

PUBLISH

INCLUDE

INCLUDE

CREATE

CAPT

URE

IN

INSO

URCE

USES

USES

IN

IN

USES



Fraud Detection


Graph Based Search


SOURCE SOURCE

Uses Neo4j to manage the digital assets inside of its next generation in-flight entertainment system.



Fraud Detection


Graph Based Search




Fraud Detection


Graph Based Search


BROWSES

CONN

ECTS

BRIDGES

ROUTES

POW

ERS

ROUTES

POWERSPOWERS

HOSTS

QUERIES

GRAPH THINKING: Network & IT-Operations

Uses Neo4j for network topology analysis for big telco service providers



Fraud Detection


Graph Based Search


GRAPH THINKING: Identity And Access Management

TRUSTS

TRUSTS

ID

ID

AUTHENTICATES AUTH

ENTI

CATE

S



Fraud Detection


Graph Based Search


OWNS

OWNSC

AN

_REA

D

UBS was the recipient of the 2014 Graphie Award for “Best Identify And Access Management App”



Fraud Detection


Graph Based Search


Neo4j Adoption by Selected VerticalsSOFTWARE FINANCIAL

SERVICES RETAIL MEDIA & BROADCASTING

SOCIAL NETWORKS TELECOM HEALTHCARE

GRAPHS ARE EVERYWHERE!

Social Recommendations Dating

INTERESTED_IN

WO

RK

S_AT HA

S

KNOWS

LIVES_IN

STUDIED_AT

PREF

ER

WATCH

LISTENS_TO

MATCHHAS HEIGHT

DATAPOINTSLocation Education Age Interests Friends of friends Taste in music Work place Pictures Height Intent


DATAPOINTSLocation Education Age Interests Friends of friends Taste in music Work place Pictures Height Intent


Routing Recommendations Navigations & Maps

Routing Recommendations Navigations & Maps

HA

S_SP

EED

_LIM

IT

IS_OCCURINGHAS

BEST_ROAD

TRAV

EL_B

Y

TRAVEL_BY

TRAVEL_BY

HAS

REPORTS_O

F

HAS

DATAPOINTSLocation Traffic jams Subway schedules Road works Special Circumstances Tolls Form of transportation Weather Speed limits Traffic lights

Dynamic Pricing Hotels

HAS_AVAILABILITY

PUR

POSE

_OF

EXPI

RES_

AT

SIZE_OF

HAS_FEATURES

HAS_SEASONPRIC

E_OF

IS_OCCURINGPURPOSE_OF

HAS

HOTEL

Dynamic Pricing Hotels

Example DatapointsLocation Availabilty Price of competitors Features Special Circumstances Events Purpose Timing Size of booking Seasons

Personalization Broadcasting

Example DatapointsPreviously watched Time of day Friend’s preferences New releases Actors Genres Directors Season Day of the week

TIME OF DAY

FRIEND’S PREFERE

NCES

DAY OF THE WEEK

ACTORS

DIRECTOR

SEASON

RATINGS

JUST RELEASE

D

GENRES

RECOMMENDATION_FOR

Personalization Broadcasting

Social networks RetailHR & Recruiting

Manufacturing & Logistics

Health Care Telco

Find your graph project!

Finance

THANK YOU!

GraphDay Stockholm - Graphs in the Real World: Top Use Cases for Graph Databases

Technology

Transcript of GraphDay Stockholm - Graphs in the Real World: Top Use Cases for Graph Databases