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

GraphDay Stockholm February 2017
Rik Van Bruggen, Neo Technology

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

  1. 1. Driving Digital Transformation With Neo4j GRAPHS IN ACTION Stockholm, February 21st, 2017
  2. 2. Who am I? Rik Van Bruggen Regional Vice-President @rvanbruggen rik@neotechnology.com blog.bruggen.com learningneo4j.net graphistania.com
  3. 3. Driving Digital Transformation With Neo4j GRAPHS IN ACTION Stockholm, February 21st, 2017
  4. 4. Social networks RetailHR & Recruiting Manufacturing & Logistics Health Care Telco Today we see graph-projects in virtually every industry Finance
  5. 5. Retail
  6. 6. End Consumers Component Manufacturers Logistics Traditional Retail Value Chain RetailersWholesalers Assembly Plants
  7. 7. PAYMENTS SALES- CHANNELS SUPPLY CHAIN PRODUCTS MARKETING CRM CUSTOMER EXPERIENCE THE ONLINE RETAIL VALUE CHAIN
  8. 8. PAYMENTS SALES- CHANNELS SUPPLY CHAIN PRODUCTS MARKETING CRM CUSTOMER EXPERIENCE Store Mobile Webstore
  9. 9. PAYMENTS SALES- CHANNELS SUPPLY CHAIN PRODUCTS MARKETING CRM CUSTOMER EXPERIENCE Store Mobile Shipping Inventory Express goods Home delivery Webstore
  10. 10. PAYMENTS SALES- CHANNELS SUPPLY CHAIN PRODUCTS MARKETING CRM CUSTOMER EXPERIENCE Store Mobile Shipping Inventory Express goods Home delivery Ratings Price-range Category Webstore
  11. 11. PAYMENTS SALES- CHANNELS SUPPLY CHAIN PRODUCTS MARKETING CRM CUSTOMER EXPERIENCE Store Mobile Shipping Inventory Express goods Home delivery Ratings Price-range Category Content Promotions Online advertising Webstore
  12. 12. PAYMENTS SALES- CHANNELS SUPPLY CHAIN PRODUCTS MARKETING CRM CUSTOMER EXPERIENCE Store Mobile Shipping Inventory Express goods Home delivery Ratings Price-range Category Content Promotions Online advertising Loyalty Programs Returns Feedback reviews Tweets Emails Customer support Webstore
  13. 13. PAYMENTS SALES- CHANNELS SUPPLY CHAIN PRODUCTS MARKETING CRM CUSTOMER EXPERIENCE Store Mobile Shipping Inventory Express goods Home delivery Ratings Price-range Category Content Promotions Online advertising Loyalty Programs Returns Feedback reviews Tweets Emails Customer support Credit Card Cash Mobile Pay Purchase History PAYMENTS Webstore
  14. 14. Digital transformation in retail today requires to put all this data into good use
  15. 15. SHOPPING EXPERIENCE
  16. 16. Related products People who bought X also bought Y Recommendations (In Real-Time) The main product
  17. 17. LOOKS_AT KITCHEN AID SERIES
  18. 18. LOOKS_AT Complaints reviews Tweets Emails KITCHEN AID SERIES
  19. 19. LOOKS_AT Returns Complaints reviews Tweets Emails KITCHEN AID SERIES
  20. 20. LOOKS_AT Returns Inventory Complaints reviews Tweets Emails KITCHEN AID SERIES
  21. 21. LOOKS_AT Returns Home delivery Inventory Express goods Complaints reviews Tweets Emails Location/ KITCHEN AID SERIES Promotions Bundling
  22. 22. LOOKS_AT Returns Purchase History Price-range Home delivery Inventory Express goods Complaints reviews Tweets Emails Category Promotions Bundling Location/ KITCHEN AID SERIES
  23. 23. LOOKS_AT Returns Purchase History Price-range Home delivery Inventory Express goods Complaints reviews Tweets Emails Category Promotions Bundling Location KITCHEN AID SERIES
  24. 24. The graph datamodel is the richest way to express a highly connected domain
  25. 25. To get performance, in real time, from a dataset that is highly interconnected – you need a graph database!
  26. 26. NEO4j solves retail-related challenges for some of the largest companies in the world Adidas uses Neo4j to combine content and product data into a single, searchable graph database which is used to create a personalized customer experience “We have many different silos, many different data domains, and in order to make sense out of our data, we needed to bring those together and make them useful for us,” 
 – Sokratis Kartelias, Adidas eBay Now Tackles eCommerce Delivery Service Routing with Neo4j “We needed to rebuild when growth and new features made our slowest query longer than our fastest delivery - 15 minutes! Neo4j gave us best solution” 
 – Volker Pacher, eBay Walmart uses Neo4j to give customer best web experience through relevant and personal recommendations “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 Vada, Walmart
  27. 27. Social networks RetailHR & Recruiting Manufacturing & Logistics Health Care Telco Today we see graph-projects in virtually every industry Finance
  28. 28. Finance
  29. 29. LEVERAGING GRAPHS TO FIGHT ECONOMIC FRAUD
  30. 30. Who Are Today’s Fraudsters?
  31. 31. Organized in groups Synthetic Identities Stolen Identities Who Are Today’s Fraudsters? Hijacked Devices
  32. 32. INVESTIGATE Revolving Debt Number of Accounts INVESTIGATE Normal behavior Fraud Detection With Discrete Analysis
  33. 33. Revolving Debt Number of Accounts Normal behavior Fraud Detection With Connected Analysis Fraudulent pattern
  34. 34. ACCOUNT HOLDER 2 Modeling a fraud ring as a graph ACCOUNT HOLDER 1 ACCOUNT HOLDER 3
  35. 35. ACCOUNT HOLDER 2 Modeling a fraud ring as a graph ACCOUNT HOLDER 1 ACCOUNT HOLDER 3 CREDIT CARD BANK ACCOUNT BANK ACCOUNT BANK ACCOUNT PHONE NUMBER UNSECURED LOAN SSN 2 UNSECURED LOAN
  36. 36. ACCOUNT HOLDER 2 Modeling a fraud ring as a graph ACCOUNT HOLDER 1 ACCOUNT HOLDER 3 CREDIT CARD BANK ACCOUNT BANK ACCOUNT BANK ACCOUNT ADDRESS PHONE NUMBER PHONE NUMBER SSN 2 UNSECURED LOAN SSN 2 UNSECURED LOAN
  37. 37. MORE FRAUD SCENARIOS
  38. 38. Insurance Fraud Whiplash for Cash Paper Collisions Insurance scammers invent automobile
 accidents complete with fake drivers,
 passengers and witnesses
  39. 39. Whiplash for Cash Example Accidents Cars Doctor Attorney People Drives Is Passenger Drivers
 Passengers
 Witnesses
  40. 40. Online payment fraud originates at IP1 eCommerce Fraud – Online Payments IP1 IP2 IP3 IP4 IP5 IP6 IP7 IP8 IP9 CC 1 CC 2 CC 3 CC 4 CC 5 CC 6 CC 7 CC 8 CC 9 U1 U2 U3 U4 U5 U6 U7 U8 U9 A1 A2 A3 A4 A5 A6 A7 A8 A9 IP addresses Credit cards UserIDs Delivery
 addresses
  41. 41. USING NEO4j FOR REAL-TIME CONNECTED ANALYSIS
  42. 42. • Today’s fraudsters are organized and highly sophisticated • Legacy technology does not detect fraud sufficiently and in real-time • Graph-databases enable you to discover fraudulent patterns in real- time • Augment your current fraud detection infrastructure with connected analysis KEY TAKE AWAYS
  43. 43. The graph datamodel is the richest way to express a highly connected domain
  44. 44. To get performance, in real time, from a dataset that is highly interconnected – you need a graph database!
  45. 45. Social networks RetailHR & Recruiting Manufacturing & Logistics Health Care Telco Today we see graph-projects in virtually every industry Finance
  46. 46. THANK YOU! Rik Van Bruggen Regional Vice-President @rvanbruggen rik@neotechnology.com

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  • almeidadt

    Apr. 7, 2017

GraphDay Stockholm February 2017 Rik Van Bruggen, Neo Technology

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