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  john@johngirard.net	
  1	
  
John	
  P.	
  Girard,	
  Ph.D.	
  
Technology,	
  Leadership,	
  and	
  Culture	
  
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  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!
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  john@johngirard.net	
  3	
  
Big	
  Data	
  =	
  KM	
  by	
  another	
  name?	
  
Big	
  Data	
  is	
  Everywhere	
  
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  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).	
  
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  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	
  
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  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	
  
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  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	
  
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  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.
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  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
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  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	
  
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  john@johngirard.net	
  11	
  
Impact	
  of	
  Culture	
  
Tribal	
  Leadership	
  
h�p://www.triballeadership.net/what-­‐is-­‐tribal-­‐leadership/diagnosing-­‐culture	
  
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  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/	
  
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  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.”
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  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	
  
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  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.	
  	
  
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  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	
  
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  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
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  john@johngirard.net	
  18	
  
An	
  Example	
  
An	
  Example	
  
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  john@johngirard.net	
  19	
  
Big	
  Data	
  
What	
  do	
  we	
  know	
  about	
  Big	
  Data?	
  
Big	
  Data	
  is	
  Global	
  and	
  Mul�disciplinary	
  
www.google.com/trends/	
  
www.johngirard.net 	
   	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  john@johngirard.net	
  20	
  
Big	
  Data	
  is	
  NOT	
  just	
  technology	
  
www.google.com/trends/	
  
Focus	
  on	
  the	
  desired	
  business	
  end	
  state	
  …	
  
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	
  
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	
  
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	
  
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	
  …	
  
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?	
  
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/	
  
www.johngirard.net 	
   	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  john@johngirard.net	
  27	
  
h�p://www.tylervigen.com/	
  
h�p://www.tylervigen.com/	
  
www.johngirard.net 	
   	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  john@johngirard.net	
  28	
  
h�p://www.tylervigen.com/	
  
The	
  CIO’s	
  task	
  is	
  to	
  help	
  the	
  CEO/COO	
  see	
  …	
  
www.johngirard.net 	
   	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  john@johngirard.net	
  29	
  
What	
  do	
  you	
  think?	
  
www.johngirard.net 	
   	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  john@johngirard.net	
  30	
  
Slides	
  available	
  at:	
  www.johngirard.net/sais-­‐2015/	
  

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Is Big Data the new Knowledge Management (KM)?
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Big Data Keynote - SAIS 2015 - John Girard

  • 1. www.johngirard.net                                                                                    john@johngirard.net  1   John  P.  Girard,  Ph.D.   Technology,  Leadership,  and  Culture  
  • 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. www.johngirard.net                                                                                    john@johngirard.net  3   Big  Data  =  KM  by  another  name?   Big  Data  is  Everywhere  
  • 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. 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. 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. 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. 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. 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. 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. www.johngirard.net                                                                                    john@johngirard.net  11   Impact  of  Culture   Tribal  Leadership   h�p://www.triballeadership.net/what-­‐is-­‐tribal-­‐leadership/diagnosing-­‐culture  
  • 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. 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. 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. 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. 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. 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. www.johngirard.net                                                                                    john@johngirard.net  18   An  Example   An  Example  
  • 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. 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. 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. 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. 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. 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. 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. 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. www.johngirard.net                                                                                    john@johngirard.net  27   h�p://www.tylervigen.com/   h�p://www.tylervigen.com/  
  • 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. www.johngirard.net                                                                                    john@johngirard.net  29   What  do  you  think?  
  • 30. www.johngirard.net                                                                                    john@johngirard.net  30   Slides  available  at:  www.johngirard.net/sais-­‐2015/