Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Neo4j Innovation Lab at GraphTour

208 vues

Publié le

Head of Neo4j's Innovation Lab, Alessandro Svensson

Publié dans : Technologie
  • Soyez le premier à commenter

Neo4j Innovation Lab at GraphTour

  1. 1. Accelerating Innovation Through Graph Thinking Neo4j Innovation Lab San Francisco, May 9, 2019
  2. 2. Alessandro Svensson Head of Neo4j Innovation Lab San Mateo, California Neo4j Innovation Lab
  3. 3. !
  4. 4. "
  5. 5. Neo4j Innovation Lab
  6. 6. Neo4j Innovation Lab
  7. 7. Neo4j Innovation Lab
  8. 8. Neo4j Innovation Lab
  9. 9. Neo4j Innovation Lab A 3.5 day workshop — The Innovation Lab Sprint
  10. 10. Neo4j Innovation Lab Team Neo4j Innovation Lab
  11. 11. “Strategy” Customer’s Team (Between 3-8 participants) “IT” “Digitization” “Sales” “Operations” “R&D/Innovation” Neo4j Innovation Lab Team Neo4j Innovation Lab 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 + Facilitation Engineering/ Data Science Design
  12. 12. Digital Transformation /Innovation Teams Key sponsor + Neo4j Innovation Lab Team 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 Facilitation Engineering/ Data Science Design
  13. 13. Guaranteed Neo4j Innovation Lab
  14. 14. Neo4j Innovation Lab Our Methodology
  15. 15. Business Value in the Paradigm of Connected Data Neo4j Innovation Lab Context
  16. 16. 1960 1980 2000 2020 S&P 500 Average Company Lifespan 65 years 35 years 30 years 15 years Neo4j Innovation Lab 202019’18’17’16’15’14’13’12’11’10’‘09‘08‘07 50000 40000 30000 20000 10000 0 The Exponential Growth of Data
  17. 17. 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
  18. 18. 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
  19. 19. A Paradigm Shift in Mindset
  20. 20. How Organisations Innovate Using Neo4j
  21. 21. 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
  22. 22. Master Data Management Identity & Access Real-Time Rec Engines Network & IT Ops Fraud Detection Typical Graph Use Cases Neo4j Innovation Lab
  23. 23. Digital Transformation ? Typical Graph Use Cases Master Data Management Identity & Access Real-Time Rec Engines Network & IT Ops Neo4j Innovation Lab
  24. 24. Digital Transformation Business Analyst Problem User Experience & Design Problem Engineering Problem Talent Problem Organisation Culture Problem Neo4j Innovation Lab
  25. 25. Business Analyst Problem User Experience & Design Problem Engineering Problem Talent Problem Organisation Culture Problem Connected Data Narrative Neo4j Innovation Lab
  26. 26. Innovation Lab Sprint, March 4-March 7, 2019 Innovation & Organisational Complexity
  27. 27. Silos Potential Raw Data to Capture Innovation & Organisational Complexity Innovation Lab Sprint, March 4-March 7, 2019 Data Warehouse Data Lakes
  28. 28. Silos Potential Raw Data to Capture Innovation & Organisational Complexity Innovation Lab Sprint, March 4-March 7, 2019 Data Warehouse Data Lakes This makes sense! 🤑
  29. 29. Neo4j Innovation Lab How Do We Solve This? 🤔
  30. 30. Innovation is Not an Event Neo4j Innovation Lab
  31. 31. Neo4j Innovation Lab Innovation is a Process
  32. 32. Neo4j Innovation Lab Innovation is a Process(Design)
  33. 33. 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
  34. 34. Viability/Value Proposition Discovery Ideation Technology/ Data Science Neo4j Innovation Lab The Innovation Lab Sweet Spot Three Focus Areas
  35. 35. Our Methodology in A Nutshell 🥜 Neo4j Innovation Lab Playbook, 2019
  36. 36. Identify Target Use Case Generate Data Model Related “Graph Questions” Executive Feedback Presentation Build Prototype/ Wireframes Neo4j Innovation Lab
  37. 37. 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
  38. 38. 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
  39. 39. 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
  40. 40. 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
  41. 41. 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
  42. 42. The Neo4j Innovation Lab Experience Neo4j Innovation Lab
  43. 43. Generating Use Cases Neo4j Innovation Lab
  44. 44. CIO BI Analysts Chief Architect Neo4j Innovation Lab
  45. 45. Head of Digital Innovation UX Designer Lead Developer Machine Learning/ Data Scientist Neo4j Innovation Lab
  46. 46. Data Modeling Neo4j Innovation Lab
  47. 47. Adam Cowley, Neo4j Field Engineer Data Modeling Neo4j Innovation Lab
  48. 48. Data Modeling Eric Monk, Neo4j PS- consultantData Scientist Director of AI Data Scientist Innovation Lab Leader Neo4j Innovation Lab
  49. 49. Data Modeling Neo4j Innovation Lab
  50. 50. Neo4j Innovation Lab
  51. 51. Cases… …Actions… …and End- Consumers Client Payments Neo4j Innovation Lab
  52. 52. UX-Designer UX Designer Risk Analyst CIO Building Prototypes
  53. 53. “If you build a polished prototype, others will see flaws. Neo4j Innovation Lab
  54. 54. — 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
  55. 55. Building Prototypes Neo4j Innovation Lab
  56. 56. Building Prototypes Neo4j Innovation Lab
  57. 57. Building Prototypes Neo4j Innovation Lab
  58. 58. Building Prototypes Neo4j Innovation Lab
  59. 59. Building Prototypes
  60. 60. 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
  61. 61. Executive Presentations Oil & Gas
  62. 62. Innovation Lab Impact 🚀 Neo4j Innovation Lab
  63. 63. Innovation Lab Impact 40+ Projects so far… Neo4j Innovation Lab
  64. 64. Innovation Lab Impact 40+ Projects so far… Dramatically Decreased Time to Validation 2 Develop 3 Proof of ConceptUnderstand 1 Validate 4Time Money Neo4j Innovation Lab
  65. 65. 40+ 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
  66. 66. 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
  67. 67. 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
  68. 68. If You’re Interested in the Innovation Lab alessandro.svensson@neo4j.com Email Linkedin Alessandro Svensson, Neo4j Neo4j Innovation Lab
  69. 69. Neo4j Innovation Lab Thank you! '

×