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Big Data Keynote - SAIS 2015 - John Girard

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John Girard's keynote "Big Data: Something Old, Something New, Something Borrowed, Something Blue?"
at Eighteenth Annual Conference of the Southern Association for Information Systems (SAIS) in Hilton Head, SC

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Big Data Keynote - SAIS 2015 - John Girard

  1. 1. www.johngirard.net                                                                                    john@johngirard.net  1   John  P.  Girard,  Ph.D.   Technology,  Leadership,  and  Culture  
  2. 2. www.johngirard.net                                                                                    john@johngirard.net  2   Defending  Knowledge  Management   Inukshuk   Inukshuk:  “likeness of a person” (essential component of KM)  Guide leaders  Every Inukshuk is different  Artifacts matter!
  3. 3. www.johngirard.net                                                                                    john@johngirard.net  3   Big  Data  =  KM  by  another  name?   Big  Data  is  Everywhere  
  4. 4. www.johngirard.net                                                                                    john@johngirard.net  4   Is  Big  Data  New?   www.google.com/trends/   Teradata, 1991 www.�nyurl.com/GirardBD   Prairie  Business  Magazine,  7(1)  -­‐  2008       Is  data  mining   synonymous  with   Big  Data?   No.    Big  Data  is  the  data   set  (or  asset).     Data  mining  is  the   process  (or  handler).  
  5. 5. www.johngirard.net                                                                                    john@johngirard.net  5   The  History  of  Big  Data   Informa�on  Overload   Informa�on  overload   occurs  when  the  amount  of   input  to  a  system  exceeds   its  processing  capacity.   (Speier  et  al,  1999)   Informa�on  Overload   Informa�on  overload  is  that   state  in  which  available,   and  poten�ally  useful,   informa�on  is  a  hindrance   rather  than  a  help.   (Bawden,  2001)     Personal  Informa�on  Overload   A  percep�on  on  the  part  of  the  individual   (or  observers  of  that  person)  that  the  flow   of  informa�on  associated  with  work  tasks   is  greater  than  can  be  managed   effec�vely.  (Wilson,  2001)   Organiza�onal  Informa�on  Overload     A  situa�on  in  which  the  extent  of   perceived  informa�on  overload  is   sufficiently  widespread  within  an   organiza�on  as  to  reduce  the  overall   effec�veness  of  management  opera�ons. (Wilson,  2001)   Overload  is  not  new!   The  Roman  Philosopher  Seneca   worried  about  informa�on   overload  nearly  2,000  years   before  it  was  cool.  “What  is  the   point  of  having  countless  books   and  libraries  whose  �tles  the   owner  could  scarcely  read   through  in  a  whole  life�me?”  he   wondered.   Michael  Grunwald  @MikeGrunwald    Aug.  28,   2014  
  6. 6. www.johngirard.net                                                                                    john@johngirard.net  6   The  History  of  Big  Data   2/3  of  managers  complained  of   Informa�on  overload    (KPMG,   2000)     38%  of  the  surveyed  managers   waste  a  substan�al  amount  of   �me  loca�ng  informa�on   (Wilson,  2001)       Managers  “dwell  on  informa�on   that  is  entertaining  but  not   informa�ve,  or  easily  available   but  not  of  high  quality”  (Linden,   2001)     43%  of  the  managers  delayed   decisions  because  of  too  much   informa�on.  (Wilson,  2001)     The  total  accumulated  codified  database  of  the  world,  which  includes   all  books  and  all  electronic  files,  doubles  every  seven  years  and  some   predict  this  will  double  twice  a  day  by  2010  (Bon�s,  2000).     What  we  knew  a  decade  ago:   The  History  of  Big  Data  
  7. 7. www.johngirard.net                                                                                    john@johngirard.net  7   What  is  knowledge?    knowledge is "defined broadly to include information, data, communication and culture” (p. 293) Communication Data Information Culture Knowledge: Concepts, experience, and insight that provide a framework for creating, evaluating and using information (p. 373). Defining  Knowledge  Management   h�p://www.johngirard.net/km  
  8. 8. www.johngirard.net                                                                                    john@johngirard.net  8   KM  1.0  (According  to  John)   Knowledge Information Data Data to Information  Context  Categorize  Calculate  Correct  Condense Information to Knowledge  Compare  Consequences  Connects  Conversation Types  of  Knowledge:  Did  we  get  the  balance  right?   Michael Polanyi Easier to replicate Leads to competency Harder to articulate Harder to transfer Harder to steal Higher competitive advantage Contributes to efficiency Easier to document and share 20% 80% Explicit Tacit Carla O’Dell O’Dell, C. (2002, May). Knowledge Management New Generation. Presented at the APQC’s 7th Knowledge Conference, Washington, DC.
  9. 9. www.johngirard.net                                                                                    john@johngirard.net  9   KM  2.0   Ikujiro Nonaka Sociali zation Externa lization Interna lization Comb ination TACIT EXPLICIT EXPLICIT TACIT Inukshuk:  Knowledge  Management  Model   Foundation Leadership Technology Culture Internalization Socialization Externalization Combination Process Tacit Knowledge Explicit Knowledge Measurement Sociali zation Externa lization Interna lization Comb ination TACIT EXPLICIT EXPLICIT TACIT
  10. 10. www.johngirard.net                                                                                    john@johngirard.net  10   What  do  decision-­‐makers  want?   http://www.youtube.com/watch?v=lH39xjXaLW8   TLC:  Corporate  Culture  is  Key   www.strategy-­‐business.com/article/11404  
  11. 11. www.johngirard.net                                                                                    john@johngirard.net  11   Impact  of  Culture   Tribal  Leadership   h�p://www.triballeadership.net/what-­‐is-­‐tribal-­‐leadership/diagnosing-­‐culture  
  12. 12. www.johngirard.net                                                                                    john@johngirard.net  12   TLC:  Leadership   Including Ray Downey, Special Operations Command lost 95 men that day – totaling 1,600 years of experience. (emphasis added) Open  Leadership   Respect  that  your   customers  and   employees  have   power.   Share  constantly   to  build  trust.   Nurture  curiosity   and  humility.   Hold  openness   accountable.   Forgive  failure.   http://www.charleneli.com/resources/new-­‐rules/  
  13. 13. www.johngirard.net                                                                                    john@johngirard.net  13   Openness  Audit       http://www.slideshare.net/charleneli/openness-­‐audit   What  did  the  leaders  need?   “. . . there are known knowns; there are things we know that we know. There are known unknowns; that is to say there are things that we now know we don’t know. But there are also unknown unknowns — there are things that we do not know we don't know.”
  14. 14. www.johngirard.net                                                                                    john@johngirard.net  14   Knowns  and  Unknowns   Unknown Knowns Unknown Unknowns Known Knowns Known Unknowns Comp  Intell   HP   According  to  the  plan  …   https://www.youtube.com/watch?v=ocqB6_y71xE   What  is  the  most  planned  personal  event?   Weddings  
  15. 15. www.johngirard.net                                                                                    john@johngirard.net  15   The  Cogni�ve  Hierarchy   Knowledge Information Data Ackoff’s Apex Wisdom Understanding Knowledge Seek  Wisdom  not  Knowledge  (KM  2.5?)   Seek  Wisdom   Seek  wisdom,     not  knowledge.       Knowledge  is  of  the  past,   wisdom  is  of  the  future.                          ~  Lumbee  Proverb   The  Lumbee  Tribe  of  North  Carolina  is  a  state  recognized  tribe  of  approximately   55,000  enrolled  members,  most  of  them  living  in  Robeson  and  the  adjacent   counties  in  southeastern  North  Carolina.    
  16. 16. www.johngirard.net                                                                                    john@johngirard.net  16   The  Cogni�ve  Hierarchy   10  Years   Knowledge Information Data Ackoff’s Apex Wisdom Understanding Knowledge Seek  Wisdom  not  Knowledge  (KM  2.5?)   Big  Data  –  Some  Defini�ons   A  term  coined  to  reflect  very   large  and  very  complex  data   sets.  (Sultanow  &  Chircu,   2015)   Big  data  is  a  term  for  any   collec�on  of  large  and  complex   data  sets  that  it  becomes   difficult  to  process.  (Gordon,   2015)   Data  set  that  is  beyond  the   capacity  of  rela�onal  database   applica�ons.  (Joseph,  2015)   Term  for  a  collec�on  of  large   and  complex  data  sets  that  it   becomes  difficult  to  process   with  tradi�onal  tools.  (Klepac   &  Berg,  2015)   Large   Complex   Dif�icult   Strategic  Data-­‐based  Wisdom  in  the  Big  Data  Era  
  17. 17. www.johngirard.net                                                                                    john@johngirard.net  17   Complex:  A  Defini�on   Large   Complex   Dif�icult   “a  group  of  obviously   related  units  of  which  the   degree  and  nature  of  the   rela�onship  is  imperfectly   known”   Knowledge  Applica�on  =  KM  3.0   Knowledge Information Data Wisdom Understanding Knowledge KnowledgeCreation “With 3,600 stores in the United States and roughly 100 million customers walking through the doors each week, Wal-Mart has access to information about a broad slice of America . . . The data are gathered item by item at the checkout aisle, then recorded, mapped and updated by store, by state, by region . . . By its own account Wal-Mart has 460 terabytes of data.” 14 November 2004 Hurricane
  18. 18. www.johngirard.net                                                                                    john@johngirard.net  18   An  Example   An  Example  
  19. 19. www.johngirard.net                                                                                    john@johngirard.net  19   Big  Data   What  do  we  know  about  Big  Data?   Big  Data  is  Global  and  Mul�disciplinary   www.google.com/trends/  
  20. 20. www.johngirard.net                                                                                    john@johngirard.net  20   Big  Data  is  NOT  just  technology   www.google.com/trends/   Focus  on  the  desired  business  end  state  …  
  21. 21. www.johngirard.net                                                                                    john@johngirard.net  21   The  right  technology   Branson’s  secret  weapon  is  carrying  an  old-­‐fashioned   notebook  with  him  everywhere  he  goes.   Big  Data   h�p://melmeric.files.wordpress.com/2012/03/big-­‐data-­‐and-­‐the-­‐web.pdf  
  22. 22. www.johngirard.net                                                                                    john@johngirard.net  22   Size  (and  growth)  Ma�ers   h�p://www.domo.com/learn/data-­‐never-­‐sleeps-­‐2   2011   2013   It  is  NOT  just  about  size   http://www.domo.com/   Size  is  not   measured  in   terabytes  but   rather  business   processes  
  23. 23. www.johngirard.net                                                                                    john@johngirard.net  23   The  Size  of  Big  Data   http://www.youtube.com/watch?v=B27SpLOOhWw   The  Size  of  Big  Data   http://www.youtube.com/watch?v=B27SpLOOhWw  
  24. 24. www.johngirard.net                                                                                    john@johngirard.net  24   CEO:  How  much  data  do  we  need?   http://www.computerworlduk.com/news/infrastructure/3433595/boeing-­‐787s-­‐ create-­‐half-­‐terabyte-­‐of-­‐data-­‐per-­‐�light-­‐says-­‐virgin-­‐atlantic/   Decide  later  …  
  25. 25. www.johngirard.net                                                                                    john@johngirard.net  25   The  History  of  Big  Data   2/3  of  managers  complained  of   Informa�on  overload    (KPMG,   2000)     38%  of  the  surveyed  managers   waste  a  substan�al  amount  of   �me  loca�ng  informa�on   (Wilson,  2001)       Managers  “dwell  on  informa�on   that  is  entertaining  but  not   informa�ve,  or  easily  available   but  not  of  high  quality”  (Linden,   2001)     43%  of  the  managers  delayed   decisions  because  of  too  much   informa�on.  (Wilson,  2001)     The  total  accumulated  codified  database  of  the  world,  which  includes   all  books  and  all  electronic  files,  doubles  every  seven  years  and  some   predict  this  will  double  twice  a  day  by  2010  (Bon�s,  2000).     What  we  knew  a  decade  ago:   Is  Big  Data  owned  by  the  CIO?  
  26. 26. www.johngirard.net                                                                                    john@johngirard.net  26   Remember  what  they  say  about  over  analyzing  …   h�p://farm9.sta�cflickr.com/8210/8170256951_8111bd5e56_z.jpg   h�p://www.tylervigen.com/  
  27. 27. www.johngirard.net                                                                                    john@johngirard.net  27   h�p://www.tylervigen.com/   h�p://www.tylervigen.com/  
  28. 28. www.johngirard.net                                                                                    john@johngirard.net  28   h�p://www.tylervigen.com/   The  CIO’s  task  is  to  help  the  CEO/COO  see  …  
  29. 29. www.johngirard.net                                                                                    john@johngirard.net  29   What  do  you  think?  
  30. 30. www.johngirard.net                                                                                    john@johngirard.net  30   Slides  available  at:  www.johngirard.net/sais-­‐2015/  

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