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The Five Graphs of Finance - Philip Rathle and Emil Eifrem @ GraphConnect NY 2013
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Transcript of The Five Graphs of Finance - Philip Rathle and Emil Eifrem @ GraphConnect NY 2013
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Neo Technology, Inc Confidential
The 5 Graphs of Finance
Philip RathleSr. Director of Products
@prathle [email protected]
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Neo Technology, Inc Confidential
The “4 Giants”
Ref: http://www.gartner.com/id=2081316
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Neo Technology, Inc Confidential
Consumer Web Giants Depends on Five GraphsGartner’s “5 Graphs”
Social Graph
Ref: http://www.gartner.com/id=2081316
Interest Graph
Payment Graph
Intent Graph
Mobile Graph
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Neo Technology, Inc Confidential
• Payment Graph(e.g. Fraud Detection, Credit Risk Analysis, Chargebacks...)
• Customer Graph(org drillthru, product recommendations, mobile payments, etc.)
• Entitlement Graph(identity & access management, authorization)
• Asset Graph(portfolio analytics, risk management, market & sentiment analysis, compliance)
• Master Data Graph(enterprise collaboration, corporate hierarchy, data governance)
5 Graphs of Finance
Finance
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Neo Technology, Inc Confidential
#1: Payment Graph
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Neo Technology, Inc Confidential
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Neo Technology, Inc Confidential
The Payment Graph Depends on the Customer Graph (#2)#1: Payment Graph Example
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Neo Technology, Inc Confidential
Capturing B2B & B2C Transactions#1: Payment Graph Example
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Neo Technology, Inc Confidential
#1: Payment Graph Example
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Neo Technology, Inc Confidential
Streamlined Management of Chargebacks#1: Payment Graph Example
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Neo Technology, Inc Confidential
#2: Customer Graph
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Neo Technology, Inc Confidential
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Neo Technology, Inc Confidential
The Corporate Hierarchy is Really a Graph#2: Customer Graph
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Neo Technology, Inc Confidential
Cleansing & Matching for 360 degree master view#2: Customer Graph
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Neo Technology, Inc Confidential
Bank Fraud Example: Ring of False Identities#2: Customer Graph
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Neo Technology, Inc Confidential
Bank Fraud Example: Combinatorial Multiplying of False Persona#2: Customer Graph
3 phony addresses + 3 phony phone #s = 9 phony customers.... and so on
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Neo Technology, Inc Confidential
#3: Entitlement Graph
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Neo Technology, Inc Confidential
http://blogs.gartner.com/ian-glazer/2013/02/08/killing-iam-in-order-to-save-it/
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Neo Technology, Inc Confidential
Background
• Top investment bank: over $1T in total assets
• Using a relational database coupled with Gemfire for managing employee permissions to research resources (documents and application services)
Business problem• When a new investment manager was onboarded,
permissions were manually provisioned via a complex manual process. Traders lost an average of 5 days of trading, waiting for the permissions to be granted
• Competitor had implemented a project to accelerate the onboarding process. Needed to respond quickly.
• High stakes: Regulations leave no room for error.
• High complexity: Granular permissions mean each trader needed access to hundreds of resources.
Solution & Benefits• Organizational model, groups, and entitlements stored
in Neo4j
• Very happy with the performance of the solution, and the productivity advantage of a domain fit
• Graph visualization makes it easier for the business to provision permissions themselves
• Moving to Neo4j meant “fewer compromises” than a relational data store
Industry: Financial ServicesUse case: Entitlements/IAMLondon
Large Investment
Bank
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Neo Technology, Inc Confidential
#4: Asset Graph
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Neo Technology, Inc Confidential
IT Asset ManagementPortfolio Analytics
Risk Analysis
#4: Asset Graph Examples
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Neo Technology, Inc Confidential
#5: Master Data Graph
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Neo Technology, Inc Confidential
Background
Business problem Solution & Benefits
• German mid-size Insurance company
• Founded in 1858, over 500 employees
• Field sales unit needed easy access to policies and customer data, in an increasing variety of ways
• Needed to support a growing business
• Existing IBM DB2 system not able to meet performance requirements as the system scaled
• 24/7 available system for sales unit outside the company needed
• Enable field sales unit to flexibly search for insurance policies and associated personal data
• Raising the bar with respect to insurance industry practices
• Suppor the business as it scales, with a high level of performance
• Easy port of existing metadata into Neo4j
Industry: InsuranceUse case: Master Data Management
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Neo Technology, Inc Confidential
IntercontinentalExchange
Social network for brokers
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Neo Technology, Inc Confidential
Technology for Managing Graphs
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Neo Technology, Inc Confidential
Use SQL to Find all Dependencies(up to 3 levels down)
(SELECT T.directReportees AS directReportees, sum(T.count) AS countFROM (SELECT manager.pid AS directReportees, 0 AS count FROM person_reportee manager WHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")UNION SELECT manager.pid AS directReportees, count(manager.directly_manages) AS countFROM person_reportee managerWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")GROUP BY directReporteesUNIONSELECT manager.pid AS directReportees, count(reportee.directly_manages) AS countFROM person_reportee managerJOIN person_reportee reporteeON manager.directly_manages = reportee.pidWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")GROUP BY directReporteesUNIONSELECT manager.pid AS directReportees, count(L2Reportees.directly_manages) AS countFROM person_reportee managerJOIN person_reportee L1ReporteesON manager.directly_manages = L1Reportees.pidJOIN person_reportee L2ReporteesON L1Reportees.directly_manages = L2Reportees.pidWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")GROUP BY directReportees) AS TGROUP BY directReportees)UNION(SELECT T.directReportees AS directReportees, sum(T.count) AS countFROM (SELECT manager.directly_manages AS directReportees, 0 AS countFROM person_reportee managerWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")UNIONSELECT reportee.pid AS directReportees, count(reportee.directly_manages) AS countFROM person_reportee managerJOIN person_reportee reporteeON manager.directly_manages = reportee.pidWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")GROUP BY directReporteesUNION
(continued from previous page...)SELECT depth1Reportees.pid AS directReportees,count(depth2Reportees.directly_manages) AS countFROM person_reportee managerJOIN person_reportee L1ReporteesON manager.directly_manages = L1Reportees.pidJOIN person_reportee L2ReporteesON L1Reportees.directly_manages = L2Reportees.pidWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")GROUP BY directReportees) AS TGROUP BY directReportees)UNION(SELECT T.directReportees AS directReportees, sum(T.count) AS count FROM( SELECT reportee.directly_manages AS directReportees, 0 AS countFROM person_reportee managerJOIN person_reportee reporteeON manager.directly_manages = reportee.pidWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")GROUP BY directReporteesUNIONSELECT L2Reportees.pid AS directReportees, count(L2Reportees.directly_manages) AScountFROM person_reportee managerJOIN person_reportee L1ReporteesON manager.directly_manages = L1Reportees.pidJOIN person_reportee L2ReporteesON L1Reportees.directly_manages = L2Reportees.pidWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName")GROUP BY directReportees) AS TGROUP BY directReportees)UNION(SELECT L2Reportees.directly_manages AS directReportees, 0 AS countFROM person_reportee managerJOIN person_reportee L1ReporteesON manager.directly_manages = L1Reportees.pidJOIN person_reportee L2ReporteesON L1Reportees.directly_manages = L2Reportees.pidWHERE manager.pid = (SELECT id FROM person WHERE name = "fName lName"))
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Neo Technology, Inc Confidential
Using CypherMATCH (fund)-‐[:INCLUDES*0..n]-‐>(sub), (sub)-‐[:INCLUDES*1..n]-‐>(asset)WHERE fund.ticker = “TRLGX”RETURN sub.ticker AS Asset_Group, count(asset) AS TotalORDER BY Total DESC
Use Cypher to Find all Dependencies(up to n levels down)
For a given fund, returns all assets thatare made up of other assets,
ordered by the total # of included assets
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Neo Technology, Inc Confidential
RDBMS vs. Native Graph Database
Connected Data & Query Performance
Connectedness of Data Set
Resp
onse
Tim
e
RDBMSDegree: < 3Size: Thousands
# Hops: < 3Neo4j
Degree: Thousands+Size: Billions+
# Hops: Tens to Hundreds
1000x faster
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Neo Technology, Inc Confidential
Top Reasons for Choosing Neo4j
1. Problems with JOIN performance
2. Domain fit for graph
3. Open-ended business requirements necessitating fast, iterative development
4. Evolving and/or non-uniform data, avoiding sparse tables and frequent schema chances
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Neo Technology, Inc Confidential
Who’s Using Graph Databases Today?
Finance
Finance
Accenture
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Neo Technology, Inc Confidential
Thanks!
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