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Big Data: The
Good, The Bad &
The Ugly
Alan Chan
National Technology Officer
Microsoft Hong Kong Limited
6/6/2014
1854 London data map
Data gives you the WHAT,
so people can uncover the WHY
Data science process
Hurricane Sandy path tracking
Data gives you the WHAT, so people can
uncover the WHY
Data science process
How can we make the right forecasts?
VOLUME
(10X increase every
5 years)
VARIETY
(85% data from
new data types)
VELOCITY
(4.3 connected
devices/adult)
What is Big Data? - The 3 Vs
Value!
“Big data is high-volume, high-velocity and high-variety information assets that demand cost-
effective, innovative forms of information processing for enhanced insight and decision making.”
- Gartner
Data overload becomes focused insight
Big data Weather
Holiday inventory
Delivery times
Ship more inventory
to NE distribution
center to meet
anticipated demand,
shorten shipping
times, improve
customer satisfaction
How do I optimize my
fleet based on weather
and traffic patterns
using GPS data?
Which major
airports should we
put our next theme
restaurants?
How Big Data can benefit us?
How do I predict
where the next
earthquake will hit
and when?
DEMO
When Urban Air Quality Meets Big Data
Challenges to
unlocking data
insights
Integration &
collaboration
41%
Security, privacy &
manageability
37%
Lack of skills
& knowledge
59%
Access
everywhere
4.3 Devices/adult
Source: Big Data & CIO Adoption Quantitative Research, Sept 2012, Microsoft
So what do we need?
People need speed to insights and action
DEMO
Big Data: Hurricane Sandy disaster evacuations
DEMO
NGO - How to serve the seniors better?
In conclusion: Harnessing BIG Data now
"The new source of power is not
money in the hands of a few, but
information in the hands of
many." - John Naisbitt
achan@microsoft.com

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"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

NGO Day 2014 專題演講: 大數據的機遇與挑戰

  • 1. Big Data: The Good, The Bad & The Ugly Alan Chan National Technology Officer Microsoft Hong Kong Limited 6/6/2014
  • 2.
  • 4. Data gives you the WHAT, so people can uncover the WHY Data science process
  • 6. Data gives you the WHAT, so people can uncover the WHY Data science process
  • 7. How can we make the right forecasts?
  • 8. VOLUME (10X increase every 5 years) VARIETY (85% data from new data types) VELOCITY (4.3 connected devices/adult) What is Big Data? - The 3 Vs Value! “Big data is high-volume, high-velocity and high-variety information assets that demand cost- effective, innovative forms of information processing for enhanced insight and decision making.” - Gartner
  • 9. Data overload becomes focused insight Big data Weather Holiday inventory Delivery times Ship more inventory to NE distribution center to meet anticipated demand, shorten shipping times, improve customer satisfaction
  • 10. How do I optimize my fleet based on weather and traffic patterns using GPS data? Which major airports should we put our next theme restaurants? How Big Data can benefit us? How do I predict where the next earthquake will hit and when?
  • 11. DEMO When Urban Air Quality Meets Big Data
  • 12. Challenges to unlocking data insights Integration & collaboration 41% Security, privacy & manageability 37% Lack of skills & knowledge 59% Access everywhere 4.3 Devices/adult Source: Big Data & CIO Adoption Quantitative Research, Sept 2012, Microsoft
  • 13. So what do we need? People need speed to insights and action
  • 14. DEMO Big Data: Hurricane Sandy disaster evacuations
  • 15.
  • 16. DEMO NGO - How to serve the seniors better?
  • 17. In conclusion: Harnessing BIG Data now "The new source of power is not money in the hands of a few, but information in the hands of many." - John Naisbitt