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Ford

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Ford

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Ford

  1. 1. 1 Daniel Totten Consulting Architect Ford Motor Company Global Data Insights & Analytics
  2. 2. 2 • The Journey • Building the Application • Building Adoption Agenda
  3. 3. 3 FORD
  4. 4. 4 DATA COMPLEXITY Data Size VOLUME IT’S NOT JUST VOLUME
  5. 5. 5 THE VOLUME OF DATA IS INCREASING Global Consumer Global Consumer Global Consumer
  6. 6. 6 WE ARE GAINING A VARIETY OF DATA SOURCES
  7. 7. 7 VELOCITY IS AN IMPORTANT CONTRIBUTER
  8. 8. 8 Examples
  9. 9. 9 CONNECTED VEHICLE DATA In general, Connected Vehicle data is directly from vehicles. It is our best opportunity to really understand how our customers use our current products and help us in creating new ones. Embedded Modem SYNC ApplinkPlug-in Device Data Logger
  10. 10. 10 BIG DATA DRIVE • Many Ford employees have volunteered to allow the company to collect driving data from in-vehicle sensors – Uses OpenXC, Ford’s open-source plug-in device • Learning how people actually use their vehicles through Big Data Analytics – Improve products and customer service – Develop mobility solutions OBD2 Car OpenXC CAN Translator Phone/ Tablet Ford HadoopPublic Cloud Analysis Toolbox
  11. 11. 11 MODEM IN LINCOLN MKC AND MKZ • Modem is in larger Technology Package available in many 2017 models. • Data from 2017 model year embedded modems includes ambient temperature • Environmental data from individual Lincoln vehicles already outnumbers the number of weather stations in the U.S. – 5000 connected vehicles compared to 2550 weather stations – 6 Million data points between Jan and Jul 2015 • Analysis across different time scales – By minute/hour across the day – By day across months
  12. 12. 12 One vehicle creates up to 25 Gigabytes of data per hour or All Ford Vehicles on the road create 2500 Petabytes each day Facebook users share nearly 3.6 million pieces of content each day Apple users download nearly 50,000 apps (every minute) Amazon generates over $80,000 in online sales each minute Creates an unprecedented transactional data volumes -- 25+ petabytes* a day GDI&A – Big Data Comparison
  13. 13. 13 • The Journey • Building the Application • Building Adoption Agenda
  14. 14. 14 TRANSPARENCY SECURITY RESPECT PROVIDE CHOICES STEWARDSHIP TRUST App ServiceOwnership ConnectivityDevelopment Sales Protect Customer Data While Delivering A Meaningful Experience In A Consistent Way DATA PRIVACY– PROTECTING OUR CUSTOMER’S DATA
  15. 15. 15 GDI&A DATA OPERATIONS – WHAT DO WE DO? Data Knowledge to Ignite Analytics Identify Internal and External Data Sources Manage Data as an Asset Enterprise Level Data Standards and Governance Reports and Dashboards
  16. 16. 16 BIG DATA & ANALYTICS ARCHITECTURE Our Analytics Reference Architecture Describes The Components Needed To Build Any And All Analytics Applications And Is Used To Guide Our Technology Choices
  17. 17. 17 DATA SUPPLY CHAIN - OVERLAY Basic Advanced Manage TRANSFORM IngestLOAD LOAD Modeling Solutioning ANALYZE Enable Analytics ANALYZE / VISUALIZE ANALYZE/ VISUALIZE ANALYZE
  18. 18. 18 • The Journey • Building the Application • Building Adoption Agenda
  19. 19. 19 DEMOCRATIZING THE BASE OF THE ANALYTIC PYRAMID • GDI&A will provide tools, infrastructure and training to support capability across skill teams. FOCUS OF DEMOCRATIZATION The Base Of The Pyramid Is Where Significant Democratization Will Occur
  20. 20. 20 FOCUS ON EDUCATION & TRAINING We Are Targeting Specific Areas For Initial Rollout Of Education & Tools BUSINESS ANALYSTS • Not Only Tool Training, but Data Science Training (Visualization Techniques, Analysis Techniques, etc.) • Multiple training methods (online, classroom, and doing together) • Access to tools will follow education and training
  21. 21. 21 BALANCING ACCESS WITH EDUCATION Our Efforts Will Be Focused On Building The Company’s Capabilities Versus Simply Passing Out IDs And Tools • Democratization doesn’t make someone a Data Scientist – It is critical that people know when and where to get help • Minimize Duplication of Efforts • Right Data Sources • Right Governance • Right Methodology • Right Tool for the Job • Improved Access • Improved Tools • Improved Training • Access to Help (GDIA)
  22. 22. 22 Q & A

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