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Page 1: Big Data v Data Mining

Big - Data - MiningPeter Cochrane

ca-g loba l .orgcochrane.org.uk

COCHRANE a s s o c i a t e s

The differences, gains and application areas

Thursday, 31 January 13

Page 2: Big Data v Data Mining

Data Mining Big Data

Lots of detail Lots of relationships

The bigpicture

A closeup view

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What the information is comprised of, and all the related data...or vice versa !

What about the data in the Information ?

D a t a M i n i n g

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Page 4: Big Data v Data Mining

How

people are related

in a limited num

ber of

slow m

oving fields

D a t a Mining

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Where are the commonalities, relationships, and causalities hidden in the bigger picture ?

But what about the

Why ? B i g D a t a

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Why ?

What ?

..are these people meeting

...do they buy the same xxx

...wear the same yyy

...eat the same zzz++++

...binds them together

...are they doing/planning

...do they have in common+++

Who ? ..do they work for..do they know..employ+++

B i g D a t a

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Superficially they may look the same, but they are not !What are the differences and why is this important ?

High Net WorthInvestor

Head TeacherSolvent

Fraudster

1078653271

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Page 8: Big Data v Data Mining

Superficially they may look the same, but they are not !What are the differences and why is this important ?

High Net WorthInvestor

Head TeacherSolvent

Fraudster

1078653271

SAMEFamilyFundingEducation

FriendsSocietyOpportunity

FoodMusicClothing

DoBTownHome

Thursday, 31 January 13

Page 9: Big Data v Data Mining

Superficially they may look the same, but they are not !What are the differences and why is this important ?

High Net WorthInvestor

Head TeacherSolvent

Fraudster

1078653271

DIFFERENTMoralsDesiresAmbitions

WealthBankingPurchases

FearsHopesRelationships

SAMEFamilyFundingEducation

FriendsSocietyOpportunity

FoodMusicClothing

DoBTownHome

Thursday, 31 January 13

Page 10: Big Data v Data Mining

Superficially they may look the same, but they are not !What are the differences and why is this important ?

High Net WorthInvestor

Head TeacherSolvent

Fraudster

1078653271

DIFFERENTMoralsDesiresAmbitions

WealthBankingPurchases

FearsHopesRelationships

SAMEFamilyFundingEducation

FriendsSocietyOpportunity

FoodMusicClothing

DoBTownHome

Why ? What happens next and where is this going ?

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Defining what links, associations, relate all these people and their f r i e nd s a nd f am i l i e s turns out to be complex

and dynamic in hy p e r s p a c e . . . wa y beyond any human capacity to fathom

B i g D a t a

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It is about joining the d o t s , p l o t t i n g t h e relationships, seeing the sensitivities, understanding cause and effect

B i g D a t a

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...is all about the s o c i o l o g y o f people, things, and machines !

B ig Data

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B ig DataEssentially

evolvinggloball o n gtermlive

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Why

is

this all So

very

Vital ?

Green

Important

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Security

Law&

OrderG r e e nS u s t a i n a b i l i t y

Green

$$$Commerce

Itis

about the

sustainability

Health

CareTravel

Logistics

Defe

nce

InsuranceMan u f a c t u r e

SupplyProduction

of societies dealing with finite resources, growth and change

Retail

Manag

ement

sensors

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Your mobile device knows more and more about you day by day !

Where you are ?Where you have been ?Where you are likely to be going to ?Who you have met ?Who you are going to meet ?Who you call ?Who calls you ?Who you TXT - IM - Link ?All your contactsAll your urlsAll you passwordsWhat you are doing now ?What have you done in the past ?What games you play ?What apps you use ?What music you listen to...?What you watch...?What you read...?++++++++++

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A x i o m : O u r f u t u r e products, processes and services will demand greater embedded intelligence and communication in order to affect material and energy efficiencies...

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• cars• food• tools• offices• homes• clothing• appliances• consumables

Smart:

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But Why ??Thursday, 31 January 13

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But Why ??All our old management methods,

modeling and understanding has run out of steam !

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Theonly game

in town thatmight work for us

Computer modeling, iterationand war gaming in a n-dimensional

space at speed where the data input and base assumptions are no longer constants, or

indeed, linear as we have happily assumed in the past!

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Andthatneeds

Data

lots and

lots of

DataThursday, 31 January 13

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Some of the biggest challenges ahead are social andanalytical...and we

are largely flying blind How do we,

and every society benefit

whilst we transit to

sustainable models and new ways of

living ? ....and we appear to . have no choice !

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B ig DataAppears to be our only choice if we are to progress and

prosper

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Page 26: Big Data v Data Mining

Thank You

ca-global.orgcochrane.org.uk

COCHRANE a s s o c i a t e s

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