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

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

Big Data Finding Answers Where There Are Yet To Be Questions? Big DataBig Data Finding Answers Where There Are Yet To Be Questions?

Benjamin S. Woo – 胡世斌

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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Big Data’s Four V’sBig Data’s Four V’s

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VolumeVolume

VarietyVariety

VelocityVelocity

ValueValue

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Big Data is multi-dimensionalBig Data is multi-dimensional

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InterfaceInterface

Analytics Analytics & Discovery& Discovery

Data Organization Data Organization & Management& Management

InfrastructureInfrastructure

AdvisorAdvisorRegulatorRegulator

ProviderProviderConsumerConsumer

CollectCollect

ProcessProcess

InformInform

ActAct

ConsumerConsumer

AdvisorAdvisor

RegulatorRegulatorProviderProvider

InterfaceInterface

Analytics Analytics & Discovery& Discovery

Data OrganizationData Organization& Management& Management

InfrastructureInfrastructureCollectCollect

ProcessProcess

InformInform

ActAct

Big Data is complex!Big Data is complex!

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The Big Data PlatformThe Big Data Platform

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Big Data UsersBig Data Users

Service Providers

Advisors

Regulators/Custodians

Consumers

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Big Data ServicesBig Data Services

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CleanseCleanseFilterFilter

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Act! – Improving organizational valueAct! – Improving organizational value

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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

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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

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Use Cases - 1Use 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)

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Use Cases - 2Use 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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Essential GuidanceEssential 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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