13. Which data would you pay most for?
1. Geolocation:Where did he go?
2. Search history: What did he search for?
3. Purchase history:What did he buy?
4. Social graph:Who are his “friends"?
5. Demographics
13
19. 19
O2O: Mobile
• Identity: Proxy for person
• Context: Many sensors
Easy for user to contribute
Easy to reach user, but
high cost if inappropriate
21. The Journey of Amazon
What changed?
• Algorithms Data
• AI
• BI
• CI
• DI
21
22. What changed, what didn’t?
Changed
• Ask for forgiveness,
not for permission
• Customer-centricity
• Helping people make
better decisions
• Recommendations
Unchanged
• Algorithms Data
• AI
• BI
• CI
• DI
22
23. Data Scientist
• Data literate
• Able to handle large data sets
• Understands domain and modeling
• Wants to communicate and collaborate
• Curious with “can-do” attitude
23
24. Goal: Help people make better decisions
Data Strategy: Make it trivially easy to
Contribute
Connect
Collaborate
24
Amazon = Data Refinery
39. Data Rule #3
1. Start with a question, not with the data
2. Focus on decisions and actions
3. Base your fitness function on metrics
that matter to your customers
39
48. • Trust is distributed (across the network)
• History is traceable (via blockchain)
Digital title for your house
Digital contracts, signatures…
Innovation enabled by data
48
49. Summary: Data Rules
1. Start with a question, not with the data
2. Focus on decisions and actions
3. Base your fitness function on metrics
that matter to your customers
4. Embrace transparency
49
50. Summary: Commerce
1. E-commerce: Digitize
Focus on company and products
2. Me-commerce: Share
Focus on customer and attributes
3. We-c0mmerce: Connect
Focus on connections between individuals 51
51. Questions?
1. Do your customers understand the value they
get when they give you data?
2. Does your product or service get better over
time and with data (or worse)?
52
52. … 1984 – 1994 – 2004 – 2014 …
• How has data (connectivity, cloud, refineries)
changed you in the past years?
• How will data change you, your community,
your business, society in the next few years?
53
Human mind is bottleneck
Collaborative consumption
(PR)ODUCT
Convers(at)ion
Who of you owns (or has owned) a bitcoin?
Concrete action, understand the trade-offs
Bitcoin: Should get nobel prize in economics!
Let people do what people are good at, and computers do what computers are good at
Undergrads: answer questions
Grads: ask questions
not on analytics or reports
What is a purchase? Product space awareness
What is a purchase? Product space awareness
What is Data? Social Data? Big Data?
30 yrs ago: what data?
1984: CERN
Data guy
1994: China Inet (Does connecting pages work?)
No mobile phones
Planes perfectly well
Foreigners different prices on seats from Chinese – fair?
Me: Kiat
2004: Jack Ma
(MOBILE)
How has data changed you in the last few years?
What do you do differently now based on data?