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Accelerating Innovation through Graph Thinking

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Speaker: Alessandro Svensson, Head of Neo4j Innovation Lab

Publié dans : Technologie
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Accelerating Innovation through Graph Thinking

  1. 1. Accelerating Innovation Through Graph Thinking Neo4j Innovation Lab
  2. 2. Neo4j Innovation Lab Hello!!
  3. 3. Alessandro Svensson Head of Neo4j Innovation Lab San Mateo, California Neo4j Innovation Lab
  4. 4. INNOVATION /ɪnəˈveɪʃ(ə)n/ noun Innovation is a "new idea, creative thoughts, new imaginations in form of device or method". However, innovation is often also viewed as the application of better solutions that meet new requirements, unarticulated needs, or existing market needs. Wikipedia Neo4j Innovation Lab
  5. 5. Neo4j Innovation Lab
  6. 6. Accelerate Innovation Through Graph Thinking Neo4j Innovation Lab Purpose of the Neo4j Innovation Lab
  7. 7. Innovation Neo4j Innovation Lab
  8. 8. Innovation Mitigate Disruption Applied Technology Shift Time to Adoption Neo4j Innovation Lab
  9. 9. Business Value in the Paradigm of Connected Data Neo4j Innovation Lab Context
  10. 10. 1960 1980 2000 2020 S&P 500 Average Company Lifespan 65 years 35 years 30 years 15 years Neo4j Innovation Lab • They had the technology, or could have had the technology • Failed to play two games simultaneously What the majority have in common? • They did too little, too late
  11. 11. 202019’18’17’16’15’14’13’12’11’10’‘09‘08‘07 50000 40000 30000 20000 10000 0 The Exponential Growth of Data 1960 1980 2000 2020 S&P 500 Average Company Lifespan 65 years 35 years 30 years 15 years Neo4j Innovation Lab
  12. 12. 202019’18’17’16’15’14’13’12’11’10’‘09‘08‘07 50000 40000 30000 20000 10000 0 The Exponential Growth of Data Neo4j Innovation Lab • Data is the raw material upon which products and services are built • ‘Learning’ Algorithms and Network Effects The Competitive Game has a new Logic • Capture of data and leverage of data connections
  13. 13. Case Study: The Consumer Web 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% Neo4j Innovation Lab
  14. 14. Opportunities With Getting It Right
  15. 15. Risks With Getting It Wrong
  16. 16. A Paradigm Shift in Mindset
  17. 17. Neo4j Innovation Lab UNLEARN Unlearning is not about forgetting. It’s about the ability to choose an alternative mental model or paradigm. LEARN: We add new skills or knowledge to what we already know.
  18. 18. How Graphs Gives You Access to New Knowledge What you also know You don’t know that you know What you know Neo4j Innovation Lab
  19. 19. Hierarchies On Stage Business Processes Linear Supply Chain Information Behind the Scene Data Structure Neo4j Innovation Lab
  20. 20. Organizations On Stage Business Processes Behind the Scene Data Structure Neo4j Innovation Lab KnowledgeDynamic Supply Chain
  21. 21. How Organisations Adopt Neo4j
  22. 22. 3 Innovation & Digital Transformation “Connected Data is Part of Strategic Future” 1 Developers A Known Problem to Solve with Graphs 2 LoB Use Cases are a Proven Fit Neo4j Innovation Lab Innovation Paths
  23. 23. Digital Transformation Business Analyst Problem User Experience & Design Problem Engineering Problem Talent Problem Organisation Culture Problem Neo4j Innovation Lab
  24. 24. Business Analyst Problem User Experience & Design Problem Engineering Problem Talent Problem Organisation Culture Problem Connected Data Narrative Neo4j Innovation Lab
  25. 25. Innovation Lab Sprint, March 4-March 7, 2019 Innovation & Organisational Complexity
  26. 26. Silos Potential Raw Data to Capture Innovation & Organisational Complexity Innovation Lab Sprint, March 4-March 7, 2019 Data Warehouse Data Lakes
  27. 27. Silos Potential Raw Data to Capture Innovation & Organisational Complexity Innovation Lab Sprint, March 4-March 7, 2019 Data Warehouse Data Lakes This makes sense! 💡
  28. 28. Neo4j Innovation Lab How Do We Solve This? 🤔
  29. 29. Innovation is Not an Event Neo4j Innovation Lab
  30. 30. Neo4j Innovation Lab Innovation is a Process
  31. 31. Neo4j Innovation Lab Innovation is a Process(Design) This is what we do within the Neo4j Innovation Lab
  32. 32. Accelerating Innovation Through Graph Thinking Neo4j Innovation Lab
  33. 33. Neo4j Innovation Lab
  34. 34. Neo4j Innovation Lab
  35. 35. Neo4j Innovation Lab
  36. 36. Neo4j Innovation Lab A 3.5 day workshop — The Innovation Lab Sprint
  37. 37. Guaranteed Neo4j Innovation Lab
  38. 38. Viability/Value Proposition Discovery Ideation Using design thinking to understanding the underlying needs for what to innovate What? Technology/ Data Science Understanding technical limitations and how they affect product and services, and defining the requirements to capture and connect your data How? Why? Will this affect cost and revenue for an existing business logic, or set your organizing up for executing on a new business logic? Three Focus Areas Neo4j Innovation Lab
  39. 39. Viability/Value Proposition Discovery Ideation Technology/ Data Science Neo4j Innovation Lab The Innovation Lab Sweet Spot Three Focus Areas
  40. 40. Value “Graph Thinking” is about considering connections in data as important as the data itself. Graph Platform Neo4j is a native graph platform which executes connected workloads faster than any other database management system. Prototyping The use cases, products and services that will be available as a possibility for your company Methodology
  41. 41. Neo4j is a native graph platform which executes connected workloads faster than any other database management system. Prototyping The use cases, products and services that will be available as a possibility for your company Value Graph Platform Methodology
  42. 42. Prototyping The use cases, products and services that will be available as a possibility for your company Value Graph Platform Methodology
  43. 43. PrototypingValue Graph Platform Methodology
  44. 44. 1 2 3 Methodology
  45. 45. Checkin/Planning (30 min) Room setup Complete presentation (1h 30min) Dress Rehearsal (30 min) Team Lunch Recap Day 3, Checkin (30 min) Room setup Lunch + E-mail Break Room setup 9 19 8.30 13 17 Introductions & Lab Setup (45min) Room setup World of Graphs (30min) Use Case Generation (1h 35min) • “Get into your world” • List Key Entities • How everything is related 10 11 12 14 15 16 18 20 21 Lunch + E-mail Break Choose Target Use Case (20min) Establish Case for Graphs (45min) • Key Graph Questions • Whiteboard modeling Checkout (30 min) Synthesize: • Use Case Generation-segment • Target Use Case • Key Graph Questions • Clean up model with arrows Recap Day 1, Checkin (30 min) Storyboarding/Personas (45min) Technical deep dive (30 min) Refine model/ Identify Data- sources (1h) • Sketch Mockups • Neo4j-modeling Synthesize: • Data-sources slide • Storyboarding/mockups exercise • Evolved model in Neo4j • Setup wireframes Checkout (30 min) Lunch + E-mail Break • Ingest/simulate data• Wireframes Track 1 Track 2 Feedback / Next Steps 3 Tracks: 1) Modeling/Queries/Architecture 2) Wireframes 3) Final Presentation 3 Tracks, continues: 1) Match model/queries with… 2) …wireframes. 3) Final Presentation Checkin (30 min) Checkout (30 min) Final presentation crunch-mode: • Cover-page • Participants page • Purpose with sprint • Present (Challenges, Opportunities, North Stars) • Explain Target Use Case • Data Model/Data Sources • Result of Sprint (Scenario+Prototypes) • Looking under the hood • Example Architecture • Conclusions/What to further validate during POC • Thank you page Executive Presentation (1h) Innovation Lab Sprint Outline (3,5 day)
  46. 46. The Lab in A Nutshell 🥜 Neo4j Innovation Lab Playbook, 2019
  47. 47. Identify Target Use Case Generate Data Model Related “Graph Questions” Executive Feedback Presentation Build Prototype/ Wireframes Neo4j Innovation Lab
  48. 48. Key entitiesNorth StarOpportunitiesChallenges Identify Target Use Case Generate Data Model Related “Graph Questions” Executive Feedback Presentation Build Prototype/Wireframes Use Case Generation Day 1 Whiteboard Model Day 1 Neo4j Innovation Lab
  49. 49. Executive Feedback Presentation Executive Feedback Presentation Build Prototype/Wireframes Key entitiesNorth StarOpportunitiesChallenges Identify Target Use Case Generate Data Model Related “Graph Questions” Source data to populate model Build QueryImport Data Materialize Model Day 2 Neo4j Innovation Lab
  50. 50. Executive Feedback Presentation Executive Feedback Presentation Build Prototype/Wireframes Key entitiesNorth StarOpportunitiesChallenges Identify Target Use Case Generate Data Model Related “Graph Questions” Source data to populate model Storyboarding/ Mockups Identify Stakeholders / Personas / Synopsis Build QueryImport Data Craft Scenario Day 2 Materialize Model Day 2 Neo4j Innovation Lab
  51. 51. Executive Feedback Presentation Executive Feedback Presentation Build Prototype/Wireframes Key entitiesNorth StarOpportunitiesChallenges Identify Target Use Case Generate Data Model Related “Graph Questions” Source data to populate model Storyboarding/ Mockups Identify Stakeholders / Personas / Synopsis Build QueryImport Data Build Prototype Day 3 Neo4j Innovation Lab
  52. 52. Executive Feedback Presentation Executive Feedback Presentation Build Prototype/Wireframes Key entitiesNorth StarOpportunitiesChallenges Identify Target Use Case Generate Data Model Related “Graph Questions” Source data to populate model Storyboarding/ Mockups Identify Stakeholders / Personas / Synopsis Build QueryImport Data Finalize & Present Day 3.5 Neo4j Innovation Lab
  53. 53. The Neo4j Innovation Lab Experience Neo4j Innovation Lab
  54. 54. Generating Use Cases Neo4j Innovation Lab
  55. 55. CIO BI Analysts Chief Architect Neo4j Innovation Lab
  56. 56. Head of Digital Innovation UX Designer Lead Developer Machine Learning/ Data Scientist Neo4j Innovation Lab
  57. 57. Data Modeling Neo4j Innovation Lab
  58. 58. Adam Cowley, Neo4j Field Engineer Data Modeling Neo4j Innovation Lab
  59. 59. Data Modeling Eric Monk, Neo4j PS- consultantData Scientist Director of AI Data Scientist Innovation Lab Leader Neo4j Innovation Lab
  60. 60. Data Modeling Neo4j Innovation Lab
  61. 61. Building Prototypes
  62. 62. “If you build a polished prototype, others will see flaws. Neo4j Innovation Lab
  63. 63. — Baba Shiv Stanford Graduate School of Business “If you build a polished prototype, others will see flaws. If you build a rough prototype, others will see potential” Neo4j Innovation Lab
  64. 64. Building Prototypes Neo4j Innovation Lab
  65. 65. Building Prototypes Neo4j Innovation Lab
  66. 66. Building Prototypes Neo4j Innovation Lab
  67. 67. Building Prototypes Neo4j Innovation Lab
  68. 68. Building Prototypes
  69. 69. Campaign details Recommendation Estimated performance Live dashboard Brands Formats [ Recommended add ons Media solutions Native artikel 300 000 kr OMNI Native story 280 000 kr OMNI Programmatic display DIGITAL TEAM Campaign tracking INSIGHT TEAM Tailored ad hoc market research INSIGHTS TEAM Display 240 000 kr OMNI Native artikel 300 000 kr SvD Display 240 000 kr SvD Display 140 000 kr Aftonbladet CAMPAIGN ESTIMATION Buy 15 million impressions reach 6,5 million individuals with frequency 2,3 SvD Aftonbladet OMNI Niklas Forsberg Display Chocolate without shortcuts Native Chocolate without shortcuts FAZER Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam. SSI Insights Chocolate without shortcuts Campaign recommendation
  70. 70. Executive Presentations Oil & Gas
  71. 71. Innovation Lab Impact 🚀 Neo4j Innovation Lab
  72. 72. Innovation Lab Impact 30+ Projects so far… Neo4j Innovation Lab
  73. 73. Innovation Lab Impact 30+ Projects so far… Dramatically Decreased Time to Validation 2 Develop 3 Proof of ConceptUnderstand 1 Validate 4Time Money Neo4j Innovation Lab
  74. 74. 30+ Projects so far Dramatically Decreased Time to Validation Increase in Use Case Accuracy Innovation Lab Impact Neo4j Innovation Lab Viability/Value Proposition Discovery Ideation Technology/ Data Science
  75. 75. Software Companies Heavy Industry FMCG Cruising Companies Logistics Financial Services Media Health Care Energy Telco Industries Use Cases Recommendation Engines Smart Cities Personalization Fraud Detection Data Lineage Construction Planning Regulatory Compliance Media Advertising Systems Supply Chain Preventive Health Care Tools Churn Prediction Customer Service Automation Customer Journey Mapping Retail Bill of Materials Churn Prediction Neo4j Innovation Lab
  76. 76. Feedback Received “The productivity and output enabled by how the days were structure and the exercises within the sessions has been an eye-opener.” — Procter & Gamble “Very impressed. Intense and fun! We got a lot done in just a week. Great experience and super effective.” — Santander Consumer Bank “Unexpected and pretty incredible that it’s possible to achieve such relevant and applicable results in such a limited time period.” — Schibsted Media Group “Involving. Knowledge building. Fun! Extremely valuable and mind opening” — Alfa Laval Neo4j Innovation Lab
  77. 77. How to Participate? Neo4j Innovation Lab
  78. 78. “Strategy” Customer’s Team (Between 3-8 participants) + “IT” “Digitization” “Sales” “Operations” “R&D/Innovation” Who should participate in a sprint? Neo4j Field Engineer • Facilitates graph-modeling exercises • Expert in Neo4j/Architecture & Data Science • Cypher-queries for prototype UX-designer • Facilitates storyboarding/wireframing • Builds UI-tool for prototype Labs Leader • Head facilitator & Team Leader • Facilitates the use case generation-segment • Project manages prototyping Neo4j Innovation Lab Team Neo4j Innovation Lab
  79. 79. alessandro.svensson@neo4j.com Email Linkedin Alessandro Svensson, Neo4j Neo4j Innovation Lab
  80. 80. Neo4j Innovation Lab Thank you! &

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