7. • Usage scenario Fraud Analyst:
• Poten5al fraud case detected
• Enriched with data from various sources containing data on fraud suspect
• Trigger human and/or automated reac5ons
Fraud Demo – Part II
Neo4j
Web
App Data
Integra5on
RDBMS
(Oracle, MySQL,
DB2, HANA …)
Management Console
(E.g BI Tools such as
Tableau, Qlik, BO,
MicroStrategy etc)
Fraud
Analyst
Machine2Machine
generated ac5ons
Alert
Incoming Events
CRM System
Opera5onal System
External Data