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FraudDemoSolu%onspoweredwithNeo4j
2015StefanKolmarNeoTechnologies
RetailBankingFirst-PartyFraud
Openingmanylinesofcreditwithnointen5onofpayingthemback
CausingHighImpact• TensofbillionsofdollarslosteveryyearbyU.S.Banks.(1)
• 25%oftotalconsumercreditcharge-offsintheUnitedStates.(2)
• 10%to20%ofunsecuredbaddebtatleadingU.S.andEuropeanbanksismisclassified,andisactuallyfirst-partyfraud.(3)
(1)Experian:hQp://www.experian.com/assets/decision-analy5cs/white-papers/first-partyfraud-wp.pdf(2)Experian:hQp://www.experian.com/assets/decision-analy5cs/white-papers/first-partyfraud-wp.pdf(3)BusinessInsider:hQp://www.businessinsider.com/how-to-use-social-networks-in-the-fight-against-first-party-fraud-2011-3
Detec%ngFraudRings
SSN1
123NW1stStreetSanFrancisco,CA
555-555-5555
123NW1stStreetSanFrancisco,CA555-5
55-5555
Skimming
PersonA PersonB
Loca5onA Loca5onB
PhoneNumberDuplicateUse
555-555-5555
PersonA
PersonB
SuspecteCommerce
PersonA
PersonB
Loca5onC IPaddress
FraudDemo–PartI(generic)• FraudscenariocoveringRetailFraudusecases• Datasetcontainsopera5onaldata• Constantdataload–>injec5ngfraudcases->generatealerts• Capabilitytoexportdataofdetectedfraudforfurtherinves5ga5on
Neo4j
AppServer
FraudDetec5onWebApp
FraudAppBrowser
UX:TestDataGen
Alertgenerated
Demo
WhyusingGraphDB/Neo4jforFraud?
• AgileDevelopment• Highproduc5vityandrapidimplementa5on• No“RDBMS-waterfall-high-investment-trap”
• Takingadvantageofthefullvalueofconnecteddata• TraversingthegraphcomparedtoselfjoinsinRDBMS
• Nearreal5meresponse5mes• Preven5ngfraudratherthandetec5ngaderthefact
• Schemafree• Nodescanvarydependingon5me/usage/seman5c
• UsagescenarioFraudAnalyst:• Poten5alfraudcasedetected• Enrichedwithdatafromvarioussourcescontainingdataonfraudsuspect• Triggerhumanand/orautomatedreac5ons
FraudDemo–PartII
Neo4j
WebApp Data
Integra5on
RDBMS(Oracle,MySQL,DB2,HANA…)
ManagementConsole(E.gBIToolssuchasTableau,Qlik,BO,MicroStrategyetc)
FraudAnalyst
Machine2Machinegeneratedac5ons
Alert
IncomingEvents
CRMSystem
Opera5onalSystem
ExternalData
UsingNeoasthefounda%onofafraudsolu%oninyourarchitecture
Step1:SetupDataIntegra5onStep2:VisualizeDatainBITool
Conclusions
• Fraudasoneusecasetoprovidefullvalueofconnecteddatawithintheen5reorganiza5on
• Neo4jasthefounda5ontodo360degreefrauddetec5onandpreven5on
• Neo4jtoextendyourexis5ngenvironmentwhileprotec5ngyourinvestments
• Neo4jprovidesbestvalueintegratedintheen5reenvironment• Neo4jasthefounda5onforgenera5ngreal5mealertstotriggerautomatedormanualinterven5ons
Encore
…Onemorething...
Abrieflookintothedatamodel….
