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1. Copyright IDC. Reproduction is forbidden unless authorized. All rights reserved.

2. Copyright IDC. Reproduction is forbidden unless authorized. All rights reserved.
Big Data
Finding Answers Where There Are Yet To Be Questions?
Big Data
Big Data
Finding Answers Where There Are Yet To Be Questions?
Benjamin S. Woo – 胡世斌

3. Apr-12
© IDC
What is Big Data?
What is Big Data?
Big Data technologies describe a new
generation of technologies and architectures,
designed to economically extract value from
very large volumes of a wide variety of data,
by enabling high velocity capture, discovery
and/or analysis
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4. Apr-12
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Big Data’s Four V’s
Big Data’s Four V’s
4
Volume
Volume
Variety
Variety
Velocity
Velocity
Value
Value

5. Apr-12
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Big Data is multi-dimensional
Big Data is multi-dimensional
5
Interface
Interface
Analytics
Analytics
& Discovery
& Discovery
Data Organization
Data Organization
& Management
& Management
Infrastructure
Infrastructure
Advisor
Advisor
Regulator
Regulator
Provider
Provider
Consumer
Consumer
Collect
Collect
Process
Process
Inform
Inform
Act
Act
Consumer
Consumer
Advisor
Advisor
Regulator
Regulator
Provider
Provider
Interface
Interface
Analytics
Analytics
& Discovery
& Discovery
Data Organization
Data Organization
& Management
& Management
Infrastructure
Infrastructure
Collect
Collect
Process
Process
Inform
Inform
Act
Act
Big Data is complex!
Big Data is complex!

6. Apr-12
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The Big Data Platform
The Big Data Platform
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7. Apr-12
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Big Data Users
Big Data Users
Service Providers
Advisors
Regulators/Custodians
Consumers

8. Apr-12
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Big Data Services
Big Data Services
8
8
Cleanse
Cleanse
Filter
Filter

9. Apr-12
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Act! – Improving organizational value
Act! – Improving organizational value
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10. Apr-12
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Common Questions: What’s New with
Big Data?
Common Questions: What’s New with
Big Data?
How does Big Data compare to traditional data warehousing?
• Strategic value creation (future looking)
• (Near real time) on data collection or ability to act
How does Big Data compare to traditional high performance
computing?
• Very similar in infrastructure
• Price:performance ratio
10

11. Apr-12
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Big Data: Finding Answers Where
There Are Yet To Be Questions
Big Data: Finding Answers Where
There Are Yet To Be Questions
11

12. Apr-12
© IDC
Use Cases - 1
Use Cases - 1
•$13.04 billion in sales in
fiscal 2010
•9,500+ stores in 35 states
•10,000-12,000 SKUs/store
•85,900 employees
•Uses cloud based service
provider
•Sells POS data back to
suppliers
• Subscribers can compare
performance based on many
different types of criteria
• Geography (eg same store)
• Associated purchases
• Etc.
•New source of revenue
• (Arguably, highest margin
revenue source)
12

13. Apr-12
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Use Cases - 2
Use Cases - 2
•Major US wireless
operator
•Client attrition too high
•Related to customer
service
•Deployed telco specific
Big Data solution
•Solution was able to
build a “behavioral-DNA”
of customer interactions
with the provider
•Able to visually
understand and drive
ideal customer
experience
•Saved US$MM in lost
customers
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14. Apr-12
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Essential Guidance
Essential Guidance
Four V’s of Big Data – Volume, Variety, Velocity and Value
Combination of these attributes creates new strategic
opportunities to create organizational value
Biggest challenge for community is that Big Data use cases
are typically unique and therefore is not easy to define and
addressing the problems are often found in more proprietary
approaches
Big Data approaches and technologies apply to all users from
the largest enterprise, to government and research, and to
individuals
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15. Apr-12
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