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- 1. Neo4j Use Cases The #1 Platform for Connected Data Bill Brooks bill@neo4j.com
- 2. 2 Real-Time Recommendations Fraud Detection Network & IT Operations Master Data Management Knowledge Graph Identity & Access Management Common Graph Technology Use Cases AirBnb
- 11. Finding a Cure for Cancer
- 15. PHARMA DB GENOMIC DATA PATIENT RECORDS TRIAL DATA DRUGS DB LAB DATA Data Stored in Disparate Silos
- 18. Johnson Space Center Houston, Texas
- 22. “Lessons Learned Database” A half-century of collective NASA engineering knowledge
- 25. Let’s Hear a Few Stories — David Meza, Chief Knowledge Architect at NASA “Neo4j saved well over two years of work and one million dollars of taxpayer funds.” Impact
- 28. 28 • Record “Cyber Monday” sales • About 35M daily transactions • Each transaction is 3-22 hops • Queries executed in 4ms or less • Replaced IBM Websphere commerce • 300M pricing operations per day • 10x transaction throughput on half the hardware compared to Oracle • Replaced Oracle database • Large postal service with over 500k employees • Neo4j routes 7M+ packages daily at peak, with peaks of 5,000+ routing operations per second. Delivering real-time perf at scale Real-time promotion recommendations Marriott’s Real-time Pricing Engine Handling Package Routing in Real-Time
- 30. Case Study: Knowledge Graphs at eBay
- 31. Case Study: Knowledge Graphs at eBay
- 32. Case Study: Knowledge Graphs at eBay
- 33. Case Study: Knowledge Graphs at eBay Bags
- 34. Men’s Backpack Handbag Case Study: Knowledge Graphs at eBay
- 42. Business Problem • Optimize walmart.com user experience • Connect complex buyer and product data to gain super-fast insight into customer needs and product trends • RDBMS couldn’t handle complex queries Solution and Benefits • Replaced complex batch process real-time online recommendations • Built simple, real-time recommendation system with low-latency queries • Serve better and faster recommendations by combining historical and session data Background • Founded in 1962 and based in Arkansas • 11,000+ stores in 27 countries with walmart.com online store • 2M+ employees and $470 billion in annual revenues Walmart RETAIL Real-Time Recommendations42
- 43. Background • One of the world’s largest logistics carriers • Projected to outgrow capacity of old system • New parcel routing system Single source of truth for entire network B2C and B2B parcel tracking Real-time routing: up to 7M parcels per day Business Problem • Needed 365x24x7 availability • Peak loads of 3000+ parcels per second • Complex and diverse software stack • Need predictable performance, linear scalability • Daily changes to logistics network: route from any point to any point Solution and Benefits • Ideal domain fit: a logistics network is a graph • Extreme availability, performance via clustering • Greatly simplified routing queries vs. relational • Flexible data model reflect real-world data variance much better than relational • Whiteboard-friendly model easy to understand Accenture LOGISTICS 43 Real-Time Routing Recommendations
- 44. Background • Oslo-based telcom provider is #1 in Nordic countries and #10 in world • Online, mission-critical, self-serve system lets users manage subscriptions and plans • availability and responsiveness is critical to customer satisfaction Business Problem • Logins took minutes to retrieve relational access rights • Massive joins across millions of plans, customers, admins, groups • Nightly batch production required 9 hours and produced stale data Solution and Benefits • Shifted authentication from Sybase to Neo4j • Moved resource graph to Neo4j • Replaced batch process with real-time login response measured in milliseconds that delivers real-time data, vw yday’s snapshot • Mitigated customer retention risks Identity and Access Management Telenor COMMUNICATIONS SUBSCRIBED_BY CONTROLLED_B Y PART_OFUSER_ACCESS Account Customer CustomerUser Subscription 44
- 45. Background • Mid-size German insurer founded in 1858 • Project executed by Delvin, a subsidiary of die Bayerische Versicherung and an IT insurance specialist Business Problem • Field sales needed easy, dynamic, 24/7 access to policies and customer data • Existing DB2 system unable to meet performance and scaling demands Solution and Benefits • Enabled flexible searching of policies and associated personal data • Raised the bar on industry practices • Delivered high performance and scalability • Ported existing metadata easily Die Bayerische Insurance Master Data Management45
- 46. Background • Leading European Airline • 100+ mln passengers • 2+ mln tons freight per year • 700+ aircrafts Business Problem • Need for flexible high performant Inflight Asset Management, onboard entertainment, byod • Complex data set: CMDB, CMS, Aircraft data feed, media library • Maintain individual configuration for each Aircraft • Complex data model, aircrafts, hardware, vitual containers, licenses, business rules, versions, content ... Solution and Benefits • Neo4j powers integrated platform that provides fast access to all aspects needed to maintain complex system • Fast implementation • Higly flexible data model enable constant evolution Lufthansa Digital Asset Mangagement 46 Graph Based Search, Metadata Management
- 50. 50 https://www.slideshare.net/neo4j/daimler-ag-structurecube-die-gklasse-im-sumpf-der-strukturen
- 51. 51 https://www.slideshare.net/neo4j/graphtour-madrid-running-neo4j-on-a-large-scale-image-platform
- 52. 52 https://www.slideshare.net/neo4j/graphtour-workday-tracking-activity-with-neo4j-english-version
- 53. 53 https://www.slideshare.net/neo4j/graphtour-mastering-highly-distributed-architecture-with-neo4j
- 54. 54
- 55. Use cases on https://neo4j.com/use-cases/
- 56. Customer stories on https://neo4j.com/customers/