GraphDay Stockholm - Graphs in the Real World: Top Use Cases for Graph Databases
5 likes1,823 views
The document is an agenda for the Stockholm GraphDay event. It includes sessions on graph databases in a digital economy, graph use cases, a fraud detection use case using Neo4j, and training sessions. It encourages attendees to connect on social media using the event hashtag and provides the WiFi password.
GraphDay Stockholm - Graphs in the Real World: Top Use Cases for Graph Databases
- 2. Agenda 9.30-9.45 Welcome! 9.45-10.15: Graph databases in a Digital Economy 10.15-10.45 Graphs in the Real World - Top Use Cases Break 11.15-12.00 Neo4j in Practice - exploring a Fraud use case 12.00-12.30 Hästens & NetConsult + Digitization and optimising business performance with Neo4j
- 3. Agenda 12.30-13.45 Lunch! 13.45-16.30 Training Sessions 13.45-16.30 Graph Clinics!
- 4. CONNECT! Don’t be a lonely document! #graphday #neo4j WIFI = Konferens-7A Code: konferens786
- 5. Driving Digital Transformation With Neo4j GRAPHS IN THE REAL WORLD Stockholm, February 25, 2016
- 6. WHAT IS A GRAPH?
- 7. A Graph Is
- 13. Use of Graphs has created some of the most successful companies in the world C 34,3%B 38,4%A 3,3% D 3,8% 1,8% 1,8% 1,8% 1,8% 1,8% E 8,1% F 3,9%
- 14. WHAT IS A GRAPH DATABASE?
- 15. A way of storing data DATA DATA
- 16. Relational Database Good for: A way of storing data • Pre-computed • Pre-determined purpose • Limited context • Static
- 17. Graph Database Relational Database A way of storing data Good for: • Pre-computed • Pre-determined purpose • Limited context • Static Good for: • Real-time • Dynamic structure • Highly contextual • Flexible and scalable
- 18. GRAPHS IN THE REAL WORLD
- 19. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 20. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations VIEWED GRAPH THINKING: Real Time Recommendations VIEWED BOUGHT VIEWED BOUGHT BOUGHT BOUGHT BOUGHT
- 21. “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 Wada Software Developer, Walmart NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 22. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations GRAPH THINKING: Master Data Management MANAGES MANAGES LEADS REGION M ANAG ES MANAGES REGION LEADS LEADS COLLABORATES
- 23. Neo4j is the heart of Cisco HMP: used for governance and single source of truth and a one-stop shop for all of Cisco’s hierarchies. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 24. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations O PENED_ACCO UNT HAS IS_ISSUED GRAPH THINKING: Fraud Detection HAS LIVES LIVES IS_ISSUED OPENED_ACCOUNT
- 25. “Graph databases offer new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time.” Gorka Sadowski Cyber Security Expert NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 26. GRAPH THINKING: Graph Based Search PUBLISH INCLUDE INCLUDE CREATE CAPTURE IN IN SOURCE USES USES IN IN USES NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations SOURCE SOURCE
- 27. Uses Neo4j to manage the digital assets inside of its next generation in-flight entertainment system. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 28. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations BROWSES CONNECTS BRIDGES ROUTES POWERS ROUTES POWERS POWERS HOSTS QUERIES GRAPH THINKING: Network & IT-Operations
- 29. Uses Neo4j for network topology analysis for big telco service providers NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 30. GRAPH THINKING: Identity And Access Management TRUSTS TRUSTS ID ID AUTHENTICATES AUTHENTICATES NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations O W NS OWNS CAN_READ
- 31. UBS was the recipient of the 2014 Graphie Award for “Best Identify And Access Management App” NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 32. Neo4j Adoption by Selected Verticals SOFTWARE FINANCIAL SERVICES RETAIL MEDIA & BROADCASTING SOCIAL NETWORKS TELECOM HEALTHCARE
- 35. INTERESTED_IN WORKS_AT HAS KNOW S LIVES_IN STUDIED_AT PREFER WATCH LISTENS_TO MATCH HASHEIGHT DATAPOINTS Location Education Age Interests Friends of friends Taste in music Work place Pictures Height Intent Social Recommendations Dating
- 36. DATAPOINTS Location Education Age Interests Friends of friends Taste in music Work place Pictures Height Intent Social Recommendations Dating
- 38. Routing Recommendations Navigations & Maps HAS_SPEED_LIMIT IS_OCCURING HAS BEST_ROAD TRAVEL_BY TRAVEL_BY TRAVEL_BY HAS REPORTS_OF HAS DATAPOINTS Location Traffic jams Subway schedules Road works Special Circumstances Tolls Form of transportation Weather Speed limits Traffic lights
- 40. HAS_AVAILABILITY PURPOSE_OF EXPIRES_AT SIZE_O F HAS_FEATURES HAS_SEASON PRICE_OF IS_OCCURING PURPOSE_OF HAS HOTEL Dynamic Pricing Hotels Example Datapoints Location Availabilty Price of competitors Features Special Circumstances Events Purpose Timing Size of booking Seasons
- 42. Example Datapoints Previously watched Time of day Friend’s preferences New releases Actors Genres Directors Season Day of the week TIME OF DAY FRIEND’S PREFERE NCES DAY OF THE WEEK ACTORS DIRECTOR SEASON RATINGS JUST RELEASE D GENRES RECOMMENDATION_FOR Personalization Broadcasting
- 43. Social networks RetailHR & Recruiting Manufacturing & Logistics Health Care Telco Find your graph project! Finance
- 44. THANK YOU!