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A Connections-first Approach to Supply Chain Optimization
Neo4j is a graph database platform for connected data. The document introduces Neo4j and discusses how connected data and relationships between data are increasingly important for business value. It provides examples of how Neo4j is used by organizations for applications like fraud detection, personalization, and network analysis. The document also summarizes Neo4j's capabilities like real-time transaction processing, analytics, and visualization and highlights its native graph architecture and performance advantages over traditional databases. Finally, it briefly describes Neo4j's key architecture components and how it can be used for common data architecture patterns.
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A Connections-first Approach to Supply Chain Optimization
- 1. Introducing Neo4j The LeadingPlatform for Connected Data
- 2. Agenda • About Neo4j •How to Succeed in the Age of Connected Data • Connected Data in Supply Chain • Deep Dive with DZee Solutions
- 3. Neo4j - TheGraph Company 720+ 7/10 12/2 5 8/10 53K+ 100+ 270+ 450+ Adoption Top Retail Firms Top Financial Firms Top Software Vendors Customers Partners • Creator of the Neo4j Graph Platform • ~200 employees • HQ in Silicon Valley, other offices include London, Munich, Paris and Malmö (Sweden) • $80M in funding from Fidelity, Sunstone, Conor, Creandum, and Greenbridge Capital • Over 10M+ downloads • 270+ enterprise subscription customers with over half with >$1B in revenue Ecosystem Startups in program Enterprise customers Partners Meet up members Events per year Industry’s Largest Dedicated Investment in Graphs
- 4. 2010 2011 20122013 2015 2017 Invented Cypher - Leading language for graph queries First open source GA version of a property graph database O’Reilly Graph Database — first definitive book for graph professionals Introduced labels to simplify graph modeling openCypher Project — open sourced Cypher to create the de facto standard Launched industry’s first Graph Platform Neo4j — The Graph Technology Pioneer 2014 Visual Graph Query Browser 2016 Causal Consistency for Graphs
- 5. Neo4j — Changingthe World ICIJ used Neo4j to uncover the world’s largest journalistic leak to date, The Panama Papers, exposing criminals, corruption and extensive tax evasion. The US space agency uses Neo4j for their “Lessons Learned” database to connect information to improve search ability effectiveness in space mission. eBay uses Neo4j to enable machine learning through knowledge graphs powering “conversational commerce”. Knowledge Graph for AIFraud Detection Knowledge Graph for humans
- 6. 6 • Record “CyberMonday” 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. Handling Large Graph Work Loads for ERP Real-time promotion recommendations Marriott’s Real-time Pricing Engine Handling Package Routing in Real-Time
- 7. How to Succeedin the Age of Connected Data
- 8. 8 Major Forces ina Data-Driven World 2x growth in Data every 3 years Data Volumes1 People, Processes, Assets, Devices are Increasingly Related Rise in Connectedness in Data 2
- 9. The Rise ofConnections in Data Networks of People Know s Knows Knows Knows Business Processes Bought Bought Viewed Returned Bought Systems & Networks Tags Lives_in Accesse s Likes Works Devices E.g., Risk management, Supply chain, Payments E.g., Employees, Customers, Suppliers, Partners, Influencers E.g., ID Management, RFID, Devices & IoT, Supply Chain Data connections are increasing as rapidly as data volumes
- 10. 10 Harnessing Connections DrivesBusiness Value Enhanced Decision Making Hyper Personalization Massive Data Integration Data Driven Discovery & Innovation Product Recommendations Personalized Health Care Media and Advertising Fraud Prevention Network Analysis Law Enforcement Drug Discovery Intelligence and Crime Detection Product & Process Innovation 360 view of customer Compliance Optimize Operations Connected Data at the Center AI & Machine Learning Price optimization Product Recommendations Resource allocation Digital Transformation Megatrends
- 11. 10M+ Downloads 3M+ from Neo4jDistribution 7M+ from Docker Events 400+ Approximate Number of Neo4j Events per Year 50k+ Meetups Number of Meetup Members Globally Largest pool of graph technologists 50k+ Trained/certified Neo4j professionals Trained Developers
- 12. 12 Network Complexity inSupply Chains
- 13. •Customer experience &service demands (faster, less breakage, free shipping, transparency) • Omni-channel- Difficult for revenue forecasting and management • Labor shortages (drivers) / Sharing economy • Last mile efficiencies (low cost, high service) •Technology • Next wave digital technology hype (IoT, robotics, blockchain, 3D printing) but remain flexible to adapt quickly • Cyber security •Transparency and Orchestration of services • Inventory spread across too many locations • Visibility into inventory mgmt, no coordination between warehouses, stores and even sales (Data Integration) • No product traceability especially in medicine and agriculture •Globalization • Regulations (Intl, Fed, State, Local) • Handling goods, data, services 13 2018 SCM challenges
- 14. Neo4j The Leading Platformfor Connected Data
- 15. Graph Transactions Graph Analytics Data Integration Development & Admin Analytics Tooling Drivers& APIs Discovery & Visualization Developers Admins Applications Business Users Data Analysts Data Scientists
- 16. Development & Administration Analytics Tooling Graph Analytics Graph Transactions Data Integration Discovery& VisualizationDrivers & APIs AI Neo4j Database 3.3 • 50% faster writes • Real-time transactions and traversal applications The Neo4j Graph Platform surrounds Neo4j 3.3 Neo4j Desktop, the developers’ mission control console • Free, registered local license of Enterprise Edition • APOC library installer • Algorithm library installer Data Integration • Neo4j ETL reveals RDBMS hidden relationships upon importing to graph • Data Importer for fast data ingestion • Data Lake integrator materializes graphs from Apache Hadoop, Hive and Spark Graph Analytics • Graph Algorithms support PageRank, Centrality and Path Finding • Cypher for Apache Spark from openCypher.org supports graph composition (sub-graphs) and algorithm chaining Discovery & Visualization • Integration with popular visualization vendors • Neo4j Browser and custom visualizations allow graph exploration Bolt, GraphQL, Java and more • Secure, Causal Clustering • High-speed analytic processing • On-prem, Docker & cloud delivery
- 17. Connects Roles, Processes& Systems That Surround Data Hub Data Scientists Real-time Graph traversal Applications Developers & Prod Mgrs Analysts and Business Users Big Data IT & Architecture ID, Auth & Security Network & IT Ops Metadata Management 360⁰ Marketing Customer 360 Real-time Cybersecurity Chief Officers of … Compliance, Data, Digital, Information, Innovation, Marketing, Operations, Risk & Security…
- 18.
- 19. Store / Retrieve NativeGraph Architecture Advantage
- 20. Load Data Store /Retrieve Native Graph Architecture Advantage
- 21. Load Data Actionable InsightsStore/ Retrieve Neo4j reveals connections in your data Native Graph Architecture Advantage
- 22. Index-free adjacency ensureslightning- fast retrieval of data and relationships Native Graph Architecture Advantage Index free adjacency Unlike other database models Neo4j connects data as it is stored
- 23. • Operational workloads •Analytics workloads Real-time Transactional and Analytic Processing • Interactive graph exploration • Graph representation of data Discovery and Visualization • Native property graph model • Dynamic schema Agility • Cypher - Declarative query language • Procedural language extensions • Worldwide developer community Developer Productivity • 10x less CPU with index-free adjacency • 10x less hardware than other platforms Hardware efficiency Neo4j: Graph Platform Benefits Performance • Index-free adjacency • Millions of hops per second
- 24. 1 2 3 4 5 6 Key Architecture Components Index-FreeAdjacency In memory and on flash/disk vs ACID Foundation Required for safe writes Full-Stack Clustering Causal consistency Language, Drivers, Tooling Developer Experience, Graph Efficiency, Type Safety Graph Engine Cost-Based Optimizer, Graph Statistics, Cypher Runtime Hardware Optimizations For next-gen infrastructure
- 25. How Neo4j Fits— Common Architecture Patterns From Disparate Silos To Cross-Silo Connections From Tabular Data To Connected Data From Data Lake Analytics to Real-Time Operations
- 26. How Neo4j Differentiatesfrom other Databases Visualization Queries Processing Storage Non-Native Graph DBNative Graph DB RDBM S Optimized for graph workloads
- 27. Case Studies Some examplesfrom our customers
- 28. Real World Implementation AConnections First Approach to Supply Chain Management Ashwin Pingali CTO, Apps Consultants Inc.