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Neo4j Webinar: Graphs in banking

At Neo4j we believe that ‘Graphs Are Everywhere’. In this session, we’ll be looking specifically at graphs within the Financial Services industry. We’ll review the types of data that are typically available within a bank, illustrate the graphs can be formed from that data, and discuss the use cases that those graphs can enable and support.

The use cases presented will include Anti-Money Laundering and Fraud Detection and Prevention (including integration with AI and Machine Learning technologies), Regulatory Compliance (such as BCBS 239 and GDPR), Customer 360 View, Master Data Management, and Identity and Access Management.

Many players in the Financial Services industry already rely on Neo4j's graph database: such as Lending Club, the world's largest microservices credit marketplace, for Network and IT, the big German insurance company die Bayerische for graph-based search, Cerved for Master Data Management, Wobi for price comparison and real-time recommendation, or UBS for Identity and Access Management.

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Neo4j Webinar: Graphs in banking

  1. 1. Graphs in Banking Joe Depeau Sr. Presales Consultant, UK 4th April, 2018 @joedepeau http://linkedin.com/in/joedepeau
  2. 2. • Introduction to Graphs and Neo4j • Banking Data Overview • Use Cases • Fraud (with demo) • Risk • Knowledge Graphs • Customer 360 View • Others … • Q&A 2 Agenda
  3. 3. Introduction to Graphs and Neo4j 3
  4. 4. Relational vs. Graph Databases 4
  5. 5. Graphs in the Age of Connections 5
  6. 6. 6 The Fraud Ring The Fraudster How can graphs help me?
  7. 7. 7
  8. 8. 8 Car DRIVES name: “Dan” born: May 29, 1970 twitter: “@dan” name: “Ann” born: Dec 5, 1975 since: Jan 10, 2011 brand: “Volvo” model: “V70” Anatomy of a Property Graph Database Nodes • Represent the objects in the graph • Can be labeled Relationships • Relate nodes by type and direction Properties • Name-value pairs that can go on nodes and relationships. LOVES LOVES LIVES WITH OW NS Person Person
  9. 9. Banking Data Overview 9
  10. 10. 10 Some Examples of Typical Bank Data Event DataProduct and Services Data Customer DataOrganisational Data 3rd Party Data Documentation Employee Data Processes Systems and Databases KPIs and Reports Address Personal Data Documents Relationships Assets Documentation Processes Product / Service Details Product / Service Hierarchy Pricing Money Movements Web / App Activity Customer Contact Social Media Credit Rating Agencies Market Data Organisational Hierarchy Corporate Data
  11. 11. 11 Fraud Example Graph Organisational Data Customer Data Product Data Event Data 3rd Party Data Created using https://neo4j-arrows.appspot.com/
  12. 12. 12 Fraud Graph Uses • Can I find any patterns in the graph indicating fraud in a particular account? • If I find a pattern of fraud in the graph for one account, can I find other accounts that match the same pattern? • Can I prevent fraud when I see this pattern forming? • Can I use the graph and advanced data science techniques (like Machine Learning) to find new patterns of fraud I didn’t know about? Yes! Yes! Yes! Yes!
  13. 13. Demo 13
  14. 14. Organisational Data Customer Data Product Data Event Data 3rd Party Data Created using https://neo4j-arrows.appspot.com/ Risk Example Graph 14
  15. 15. 15 Risk Graph Uses • Can I use the patterns in the graph to help me improve my risk rating processes? • Can I use the graph to more quickly react to changes which would affect my overall risk profile? • Can I use the graph to help me understand the lineage of data which feeds my KPIs and Reporting? • Can I use the graph for regulatory compliance (i.e. BCBS 239)? Yes! Yes! Yes! Yes!
  16. 16. 16 Knowledge Graph Example Organisational Data Customer Data Product Data Event Data 3rd Party Data Created using https://neo4j-arrows.appspot.com/
  17. 17. 17 Knowledge Graph Uses • Can I use knowledge graph to improve customer experience? • Can I use the knowledge graph with chatbots as well as search engines? • Can I use a knowledge graph internally as well? Yes! Yes! Yes!
  18. 18. 18 Customer 360 View Example Graph Organisational Data Customer Data Product Data Event Data 3rd Party Data Created using https://neo4j-arrows.appspot.com/
  19. 19. 19 Customer 360 View Graph Uses • Can I use the customer 360 view graph to improve customer experience? • Can I use the customer 360 view graph for Anti-Money Laundering detection and investigation? • Can I use the customer 360 view graph to detect and prevent churn? • Can I use the customer 360 view graph to improve upsell and cross-sell? Yes! Yes! Yes! Yes!
  20. 20. 20 Other Banking Graph Use Cases • Identity and Access Management • Infrastructure and Network Management • Master/Meta-data Management • Other Regulatory Compliance (i.e. GDPR)
  21. 21. Q & A 22
  22. 22. 23 Additional Resources • Neo4j Solutions : Financial Services https://neo4j.com/industries/financial-services/ • Neo4j Resources : https://neo4j.com/resources/ • Arrows Modelling Tool : https://neo4j- arrows.appspot.com
  23. 23. 24 Thank you!

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