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Big - Data - Mining
      The differences, gains and application areas
                                                     Peter Cochrane
                                                     cochrane.org.uk
                                                     ca-global.org




                                                     COCHRANE
                                                      a s s o c i a t e s

Thursday, 31 January 13
Data Mining                          Big Data




                                           A close    The big
                                           up view    picture




                          Lots of detail             Lots of relationships


Thursday, 31 January 13
What about
  the data in the                                           Data
  Information ?
                                                           Mining




                          What the information is
                          comprised of, and all the
                          related data...or vice versa !
Thursday, 31 January 13
How people are related
Mining
Data




         in a limited number of
         slow moving fields        Thursday, 31 January 13
But what
     about the
     W hy ?                                                Big Data




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

Thursday, 31 January 13
B i g                                 Who ?              ..do they work for
                                                               ..do they know
      Data                                                     ..employ
                                                               +++




                               Why ?
                                 ..are these people meeting
                                 ...do they buy the same xxx
                                 ...wear the same yyy
                                 ...eat the same zzz
                                 ++++
                          ...binds them together
 What ?                   ...are they doing/planning
                          ...do they have in common
                          +++
Thursday, 31 January 13
Superficially they may look the same, but they are not !
       What are the differences and why is this important ?
                    Head Teacher   Fraudster    High Net Worth
                    Solvent                            Investor




                                   1078653271




Thursday, 31 January 13
Superficially they may look the same, but they are not !
       What are the differences and why is this important ?
                    Head Teacher    Fraudster      High Net Worth
                    Solvent                               Investor




                                    1078653271




                          DoB      Family        Friends     Food
     SAME                 Town     Funding       Society     Music
                          Home     Education     Opportunity Clothing
Thursday, 31 January 13
Superficially they may look the same, but they are not !
       What are the differences and why is this important ?
                    Head Teacher    Fraudster       High Net Worth
                    Solvent                                Investor




                                    1078653271



                                   Morals        Wealth      Fears
     DIFFERENT                     Desires       Banking     Hopes
                                                             Relationships
                                   Ambitions     Purchases

                          DoB      Family        Friends     Food
     SAME                 Town     Funding       Society     Music
                          Home     Education     Opportunity Clothing
Thursday, 31 January 13
Superficially they may look the same, but they are not !
       What are the differences and why is this important ?
                    Head Teacher    Fraudster       High Net Worth
                    Solvent                                Investor




                                    1078653271



                                   Morals        Wealth      Fears
     DIFFERENT                     Desires       Banking     Hopes
                                                             Relationships
                                   Ambitions     Purchases
     Why ? DoB happens next and where is this going ?
           What
                  Family      Friends      Food
     SAME Town Funding Society Music
                          Home     Education     Opportunity Clothing
Thursday, 31 January 13
Big Data               Defining what links, associations,
                          relate all these people and their
                          friends and             families
                          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




Thursday, 31 January 13
Big Data


 It is about joining the
 dots, plotting the
 relationships, seeing the
 sensitivities, understanding
 cause and effect




Thursday, 31 January 13
Big Data       ...is all about the
                          sociology of
                          people, things,
                          and machines !


Thursday, 31 January 13
Big Data
                          Essentially
                            evolving
                              global
                               long
                                term
                                 live


Thursday, 31 January 13
Vital ?
      Why

            this          all   So



                                very
                   is
                                         po
                                       Im nt
                                       rta
Thursday, 31 January 13
sensors
            It                     anu fac ture
                               M                Supply
        is                    In s urant e
                                       c
    about the                     em
                                     en
                                               c e
                             na
                                g
                                         e n     Production
  sustainability
                          Ma
                                   e f
                       D ity        el
                   Sec ur    T r av       re
of societies                           C a
dealing with finite
                     e  il $$$ Logis
                      ta Com
resources, growth  R         m
                                         tics
                                           erce
 and change                    Law                He  alth
                                &               Green
                               Order     Sustaina
                                                     bility
Thursday, 31 January 13
Where you are ?
     Your mobile device       Where you have been ?
     knows more and more      Where you are likely to be going to ?
                              Who you have met ?
     about you day by day !   Who you are going to meet ?
                              Who you call ?
                              Who calls you ?
                              Who you TXT - IM - Link ?
                              All your contacts
                              All your urls
                              All you passwords
                              What 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...?
                              ++++++++++
Thursday, 31 January 13
Axiom: Our future
                          products, processes and
                          services will demand greater
                          embedded intelligence and
                          communication in order to
                          affect material and energy
                          efficiencies...


Thursday, 31 January 13
Smart:
     • cars
     • food
     • tools
     • offices
     • homes
     • clothing
     • appliances
     • consumables



Thursday, 31 January 13
But Why ??
Thursday, 31 January 13
All our old management methods,
                           modelingButunderstanding has
                                      and Why ??
Thursday, 31 January 13
                                          run out of steam !
The
                                                          only game
                                                    i n t ow n t h a t
                                                might work for us
                                           Computer modeling, iteration
                                     and 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!
Thursday, 31 January 13
And
                           that
                           needs




                            Data
                          lots and
                          lots of
                          Data
Thursday, 31 January 13
Some of the biggest
  challenges ahead
  are social and
  analytical...and we             How do we,
  are largely flying blind
                                    and every
                                       society
                                       benefit
                                     whilst we
                                    transit to
                                   sustainable
                                   models and
                                  new ways of
     ...and we appear to .    living ?        .
           have no choice !
Thursday, 31 January 13
Big Data
                           Appears to be
                          our only choice
                            if we are to
                            progress and
                               prosper




Thursday, 31 January 13
ca-global.org
                           cochrane.org.uk




                          Thank You

                             COCHRANE
                             a s s o c i a t e s


Thursday, 31 January 13

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Big Data v Data Mining

  • 1. Big - Data - Mining The differences, gains and application areas Peter Cochrane cochrane.org.uk ca-global.org COCHRANE a s s o c i a t e s Thursday, 31 January 13
  • 2. Data Mining Big Data A close The big up view picture Lots of detail Lots of relationships Thursday, 31 January 13
  • 3. What about the data in the Data Information ? Mining What the information is comprised of, and all the related data...or vice versa ! Thursday, 31 January 13
  • 4. How people are related Mining Data in a limited number of slow moving fields Thursday, 31 January 13
  • 5. But what about the W hy ? Big Data Where are the commonalities, relationships, and causalities hidden in the bigger picture ? Thursday, 31 January 13
  • 6. B i g Who ? ..do they work for ..do they know Data ..employ +++ Why ? ..are these people meeting ...do they buy the same xxx ...wear the same yyy ...eat the same zzz ++++ ...binds them together What ? ...are they doing/planning ...do they have in common +++ Thursday, 31 January 13
  • 7. Superficially they may look the same, but they are not ! What are the differences and why is this important ? Head Teacher Fraudster High Net Worth Solvent Investor 1078653271 Thursday, 31 January 13
  • 8. Superficially they may look the same, but they are not ! What are the differences and why is this important ? Head Teacher Fraudster High Net Worth Solvent Investor 1078653271 DoB Family Friends Food SAME Town Funding Society Music Home Education Opportunity Clothing Thursday, 31 January 13
  • 9. Superficially they may look the same, but they are not ! What are the differences and why is this important ? Head Teacher Fraudster High Net Worth Solvent Investor 1078653271 Morals Wealth Fears DIFFERENT Desires Banking Hopes Relationships Ambitions Purchases DoB Family Friends Food SAME Town Funding Society Music Home Education Opportunity Clothing Thursday, 31 January 13
  • 10. Superficially they may look the same, but they are not ! What are the differences and why is this important ? Head Teacher Fraudster High Net Worth Solvent Investor 1078653271 Morals Wealth Fears DIFFERENT Desires Banking Hopes Relationships Ambitions Purchases Why ? DoB happens next and where is this going ? What Family Friends Food SAME Town Funding Society Music Home Education Opportunity Clothing Thursday, 31 January 13
  • 11. Big Data Defining what links, associations, relate all these people and their friends and families 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 Thursday, 31 January 13
  • 12. Big Data It is about joining the dots, plotting the relationships, seeing the sensitivities, understanding cause and effect Thursday, 31 January 13
  • 13. Big Data ...is all about the sociology of people, things, and machines ! Thursday, 31 January 13
  • 14. Big Data Essentially evolving global long term live Thursday, 31 January 13
  • 15. Vital ? Why this all So very is po Im nt rta Thursday, 31 January 13
  • 16. sensors It anu fac ture M Supply is In s urant e c about the em en c e na g e n Production sustainability Ma e f D ity el Sec ur T r av re of societies C a dealing with finite e il $$$ Logis ta Com resources, growth R m tics erce and change Law He alth & Green Order Sustaina bility Thursday, 31 January 13
  • 17. Where you are ? Your mobile device Where you have been ? knows more and more Where you are likely to be going to ? Who you have met ? about you day by day ! Who you are going to meet ? Who you call ? Who calls you ? Who you TXT - IM - Link ? All your contacts All your urls All you passwords What 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...? ++++++++++ Thursday, 31 January 13
  • 18. Axiom: Our future products, processes and services will demand greater embedded intelligence and communication in order to affect material and energy efficiencies... Thursday, 31 January 13
  • 19. Smart: • cars • food • tools • offices • homes • clothing • appliances • consumables Thursday, 31 January 13
  • 20. But Why ?? Thursday, 31 January 13
  • 21. All our old management methods, modelingButunderstanding has and Why ?? Thursday, 31 January 13 run out of steam !
  • 22. The only game i n t ow n t h a t might work for us Computer modeling, iteration and 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! Thursday, 31 January 13
  • 23. And that needs Data lots and lots of Data Thursday, 31 January 13
  • 24. Some of the biggest challenges ahead are social and analytical...and we How do we, are largely flying blind and every society benefit whilst we transit to sustainable models and new ways of ...and we appear to . living ? . have no choice ! Thursday, 31 January 13
  • 25. Big Data Appears to be our only choice if we are to progress and prosper Thursday, 31 January 13
  • 26. ca-global.org cochrane.org.uk Thank You COCHRANE a s s o c i a t e s Thursday, 31 January 13