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Ford
- 1. 1 Daniel Totten Consulting Architect Ford Motor Company Global Data Insights & Analytics
- 2. 2 • The Journey • Building the Application • Building Adoption Agenda
- 3. 3 FORD
- 4. 4 DATA COMPLEXITY Data Size VOLUME IT’S NOT JUST VOLUME
- 5. 5 THE VOLUME OF DATA IS INCREASING Global Consumer Global Consumer Global Consumer
- 6. 6 WE ARE GAINING A VARIETY OF DATA SOURCES
- 7. 7 VELOCITY IS AN IMPORTANT CONTRIBUTER
- 8. 8 Examples
- 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 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 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 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 • The Journey • Building the Application • Building Adoption Agenda
- 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 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 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 DATA SUPPLY CHAIN - OVERLAY Basic Advanced Manage TRANSFORM IngestLOAD LOAD Modeling Solutioning ANALYZE Enable Analytics ANALYZE / VISUALIZE ANALYZE/ VISUALIZE ANALYZE
- 18. 18 • The Journey • Building the Application • Building Adoption Agenda
- 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 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 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 Q & A
Hinweis der Redaktion
- Replace Mike C’s name – Title change and modificaitons to the articles - reduce
- Replace Mike C’s name – Title change and modificaitons to the articles - reduce
- Introduce the DSC
- Volume from transactional systems Connected vehicle Autonomous vehicle Ford Pass Application
- Connected vehicle Autonomous vehicle Ford Pass Application
- Tied directly to examples like AV and the need to analyze quicker
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- Ask tom to show the Open XC device
- Validate the numbers – differentiate the model years Get the right years and model enabling the Is 2015 accurate or 2016 – validate model years with capability
- How to organize and utilize the volumes of data?
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- As proven by our most ethical company award – Starts with securing and protecting our customers data Data protection and consumer privacy is key to the success of Ford’s data strategy Working closely with our legal partners to ensure we have the right opt-in, permissions and controls in place
- Critical to the organization – tees off from the size of the challenge and how we plan to organize and use the data in an appliation
- Load Data – Data Acquisition and Data Ingestion Manage Dataa – Inf. Mgt, identify and security, data index, data discover, metadata, Access mgt and data rights, PII and data privacy, data standards, data quality, data curation and datarention Enable analytics – real tiem integration (API), Analytics enablement (DZ etc) Self Service Analytics – Enterprise analytics - Glo
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