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www.johngirard.net 
1 
john@johngirard.net 
John 
P. 
Girard, 
Ph.D. 
Technology, 
Leadership 
and 
Culture
www.johngirard.net 
Measurement 
Socialization Externalization 
2 
john@johngirard.net 
IACIS 
Conference 
2007 
Inukshuk: 
Knowledge 
Management 
Model 
Enablers 
Leadership 
Technology 
Culture 
Internalization 
Combination 
Process 
Tacit Knowledge Explicit Knowledge 
Inukshuk: 
= “likeness of a person” 
(essential component of KM) 
= Guide leaders 
= Every Inukshuk is different 
= Artifacts matter!
www.johngirard.net 
3 
john@johngirard.net 
Defending 
Knowledge 
Management 
Big 
Data 
= 
KM 
by 
another 
name?
Lessons 
learned 
from 
an 
aging 
KM 
evangelist. 
www.johngirard.net 
4 
john@johngirard.net 
Seek 
wisdom 
not 
knowledge 
… 
Helping 
leaders 
make 
be0er 
decisions?
No. 
Big 
data 
is 
the 
www.johngirard.net 
Is 
data 
mining 
synonymous 
with 
data 
Prairie 
Business 
Magazine, 
7(1) 
5 
john@johngirard.net 
Is 
Big 
Data 
New? 
www.google.com/trends/ 
Teradata, 1991 
Big 
Data? 
-­‐ 
2008 
www..nyurl.com/GirardBD 
set 
(or 
asset). 
Data 
mining 
is 
the 
process 
(or 
handler).
Informaon 
Overload 
Informa on 
overload 
occurs 
when 
the 
amount 
of 
input 
to 
a 
system 
its 
processing 
capacity. 
(Speier 
et 
al, 
1999) 
Informaon 
Overload 
Informa on 
overload 
is 
that 
state 
in 
which 
available, 
and 
poten ally 
useful, 
informa on 
is 
a 
www.johngirard.net 
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 
john@johngirard.net 
exceeds 
hindrance 
The 
History 
of 
Big 
Data 
rather 
than 
a 
help. 
(Bawden, 
2001) 
Personal 
Informaon 
Overload 
A 
percepon 
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) 
Organizaonal 
Informaon 
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!
What 
we 
knew 
a 
decade 
ago: 
2/3 
of 
managers 
complained 
of 
Informa on 
overload 
www.johngirard.net 
7 
john@johngirard.net 
(KPMG, 
The 
History 
of 
Big 
Data 
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). 
The 
History 
of 
Big 
Data
www.johngirard.net 
Communication 
Data 
Information 
Culture 
Knowledge: 
Concepts, experience, and 
insight that provide a framework 
for creating, evaluating and 
using information (p. 373). 
knowledge is defined broadly 
to include information, data, 
communication and culture” 
h0p://www.johngirard.net/km 
8 
john@johngirard.net 
(p. 293) 
What 
is 
knowledge? 
Defining 
Knowledge 
Management
Michael Polanyi 
www.johngirard.net 
Easier to document and 
share 
80% 
O’Dell, C. (2002, May). Knowledge Management New Generation. 
Presented at the APQC’s 7th Knowledge Conference, Washington, DC. 
9 
Tacit Carla O’Dell 
john@johngirard.net 
Knowledge 
Information 
KM 
1.0 
Data 
Data to 
Information 
Information to 
Knowledge 
 Compare 
 Consequences 
 Connects 
 Conversation 
 Context 
 Categorize 
 Calculate 
 Correct 
 Condense 
Explicit 
Easier to 
replicate 
Contributes to 
efficiency 
Leads to 
competency 
Harder to articulate 
Harder to steal 
Harder to transfer 
Higher competitive 
advantage 
20% 
Types 
of 
Knowledge: 
Did 
we 
get 
the 
balance 
right?
www.johngirard.net 
Measurement 
Socialization Externalization 
10 
john@johngirard.net 
KM 
2.0 
Ikujiro Nonaka 
Socialization 
Externalization 
Internalization 
Combination 
TACIT 
EXPLICIT 
EXPLICIT 
TACIT 
Inukshuk: 
Knowledge 
Management 
Model 
Foundation 
Leadership 
Technology 
Culture 
Internalization 
Combination 
Process 
Tacit Knowledge Explicit Knowledge 
Socialization 
Externalization 
Internalization 
Combination 
TACIT 
EXPLICIT 
EXPLICIT 
TACIT
www.johngirard.net 
http://www.youtube.com/watch?v=lH39xjXaLW8 
11 
www.strategy-­‐business.com/article/11404 
john@johngirard.net 
What 
do 
decision-­‐makers 
want? 
TLC: 
Corporate 
Culture 
is 
Key
www.johngirard.net 
h0p://www.triballeadership.net/what-­‐is-­‐tribal-­‐leadership/diagnosing-­‐culture 
12 
john@johngirard.net 
Impact 
of 
Culture 
Tribal 
Leadership
Including Ray Downey, Special Operations Command lost 95 men that day 
– totaling 1,600 years of experience. (emphasis added) 
www.johngirard.net 
13 
john@johngirard.net 
TLC: 
Leadership 
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/
“. . . 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.” 
www.johngirard.net 
http://www.slideshare.net/charleneli/openness-­‐audit 
14 
john@johngirard.net 
Openness 
Audit 
What 
did 
the 
leaders 
need?
www.johngirard.net 
Unknown 
Knowns 
Known 
Knowns 
Ackoff’s Apex 
Wisdom: 
The collective and individual 
experiences of applying 
knowledge to the solution of 
problems (p. 373). 
15 
john@johngirard.net 
Unknown 
Unknowns 
Known 
Unknowns 
Knowns 
and 
Unknowns 
Comp 
Intell 
HP 
Knowledge 
Information 
Data 
The 
Wisdom 
Understanding 
Knowledge 
Cogni ve 
Hierarchy
A 
term 
coined 
to 
reflect 
very 
large 
sets. 
(Sultanow 
 
Chircu, 
2015) 
www.johngirard.net 
16 
john@johngirard.net 
The 
Cogni.ve 
Hierarchy 
10 
Years 
Knowledge 
Information 
Data 
Ackoff’s Apex 
Wisdom 
Understanding 
Knowledge 
and 
very 
complex 
data 
Data 
set 
that 
is 
Big 
data 
is 
a 
term 
for 
any 
collec.on 
of 
large 
Big 
Data 
– 
Some 
Defini.ons 
and 
complex 
data 
sets 
that 
it 
becomes 
difficult 
to 
process. 
(Gordon, 
2015) 
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 
Dif8icult 
Strategic 
Data-­‐based 
Wisdom 
in 
the 
Big 
Data 
Era
www.johngirard.net 
“a 
group 
of 
obviously 
related 
units 
of 
which 
the 
degree 
and 
nature 
of 
the 
rela.onship 
is 
imperfectly 
known” 
Large 
Complex 
Dif8icult 
“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.” 
17 
john@johngirard.net 
Complex: 
A 
Defini.on 
Knowledge 
Information 
Data 
Wisdom 
Understanding 
Knowledge 
Knowledge 
Applica.on 
= 
KM 
3.0 
Knowledge Creation 
14 November 2004 
Hurricane
What 
do 
we 
know 
about 
Big 
Data? 
www.johngirard.net 
18 
john@johngirard.net 
An 
Example 
Big 
Data
www.johngirard.net 
19 
www.google.com/trends/ 
john@johngirard.net 
Big 
Data 
is 
Global 
www.google.com/trends/ 
Big 
Data 
is 
NOT 
just 
technology
www.johngirard.net 
Branson’s 
secret 
weapon 
is 
carrying 
an 
old-­‐fashioned 
notebook 
with 
him 
everywhere 
he 
goes. 
20 
john@johngirard.net 
Focus 
on 
the 
desired 
end 
state 
… 
The 
right 
technology
www.johngirard.net 
2013 
h0p://www.domo.com/learn/data-­‐never-­‐sleeps-­‐2 
21 
john@johngirard.net 
h0p://melmeric.files.wordpress.com /2012/03/big-­‐data-­‐and-­‐the-­‐web.pdf 
2011 
Size 
(and 
growth) 
Ma0ers
Size 
is 
not 
measured 
in 
terabytes 
but 
rather 
business 
processes 
www.johngirard.net 
http://www.youtube.com/watch?v=B27SpLOOhWw 
22 
http://www.domo.com/ 
john@johngirard.net 
It 
is 
NOT 
just 
about 
size 
The 
Size 
of 
Big 
Data
http://www.computerworlduk.com/news/infrastructure/3433595/boeing-­‐787s-­‐ 
create-­‐half-­‐terabyte-­‐of-­‐data-­‐per-­‐8light-­‐says-­‐virgin-­‐atlantic/ 
www.johngirard.net 
23 
john@johngirard.net 
CEO: 
How 
much 
data 
do 
we 
need? 
Decide 
later 
…
www.johngirard.net 
24 
john@johngirard.net 
Is 
Big 
Data 
owned 
by 
the 
CIO? 
The 
CIO’s 
task 
is 
to 
help 
the 
CEO/COO 
see 
…
www.johngirard.net 
25 
john@johngirard.net 
KM 3.0 
What 
do 
you 
think? 
Slides 
available 
at: 
www.johngirard.net/xxxx

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Big Data: A Decision Maker’s Friend, Phantom, or Foe?

  • 1. www.johngirard.net 1 john@johngirard.net John P. Girard, Ph.D. Technology, Leadership and Culture
  • 2. www.johngirard.net Measurement Socialization Externalization 2 john@johngirard.net IACIS Conference 2007 Inukshuk: Knowledge Management Model Enablers Leadership Technology Culture Internalization Combination Process Tacit Knowledge Explicit Knowledge Inukshuk: = “likeness of a person” (essential component of KM) = Guide leaders = Every Inukshuk is different = Artifacts matter!
  • 3. www.johngirard.net 3 john@johngirard.net Defending Knowledge Management Big Data = KM by another name?
  • 4. Lessons learned from an aging KM evangelist. www.johngirard.net 4 john@johngirard.net Seek wisdom not knowledge … Helping leaders make be0er decisions?
  • 5. No. Big data is the www.johngirard.net Is data mining synonymous with data Prairie Business Magazine, 7(1) 5 john@johngirard.net Is Big Data New? www.google.com/trends/ Teradata, 1991 Big Data? -­‐ 2008 www..nyurl.com/GirardBD set (or asset). Data mining is the process (or handler).
  • 6. Informaon Overload Informa on overload occurs when the amount of input to a system its processing capacity. (Speier et al, 1999) Informaon Overload Informa on overload is that state in which available, and poten ally useful, informa on is a www.johngirard.net 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 john@johngirard.net exceeds hindrance The History of Big Data rather than a help. (Bawden, 2001) Personal Informaon Overload A percepon 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) Organizaonal Informaon 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!
  • 7. What we knew a decade ago: 2/3 of managers complained of Informa on overload www.johngirard.net 7 john@johngirard.net (KPMG, The History of Big Data 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). The History of Big Data
  • 8. www.johngirard.net Communication Data Information Culture Knowledge: Concepts, experience, and insight that provide a framework for creating, evaluating and using information (p. 373). knowledge is defined broadly to include information, data, communication and culture” h0p://www.johngirard.net/km 8 john@johngirard.net (p. 293) What is knowledge? Defining Knowledge Management
  • 9. Michael Polanyi www.johngirard.net Easier to document and share 80% O’Dell, C. (2002, May). Knowledge Management New Generation. Presented at the APQC’s 7th Knowledge Conference, Washington, DC. 9 Tacit Carla O’Dell john@johngirard.net Knowledge Information KM 1.0 Data Data to Information Information to Knowledge Compare Consequences Connects Conversation Context Categorize Calculate Correct Condense Explicit Easier to replicate Contributes to efficiency Leads to competency Harder to articulate Harder to steal Harder to transfer Higher competitive advantage 20% Types of Knowledge: Did we get the balance right?
  • 10. www.johngirard.net Measurement Socialization Externalization 10 john@johngirard.net KM 2.0 Ikujiro Nonaka Socialization Externalization Internalization Combination TACIT EXPLICIT EXPLICIT TACIT Inukshuk: Knowledge Management Model Foundation Leadership Technology Culture Internalization Combination Process Tacit Knowledge Explicit Knowledge Socialization Externalization Internalization Combination TACIT EXPLICIT EXPLICIT TACIT
  • 11. www.johngirard.net http://www.youtube.com/watch?v=lH39xjXaLW8 11 www.strategy-­‐business.com/article/11404 john@johngirard.net What do decision-­‐makers want? TLC: Corporate Culture is Key
  • 13. Including Ray Downey, Special Operations Command lost 95 men that day – totaling 1,600 years of experience. (emphasis added) www.johngirard.net 13 john@johngirard.net TLC: Leadership 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/
  • 14. “. . . 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.” www.johngirard.net http://www.slideshare.net/charleneli/openness-­‐audit 14 john@johngirard.net Openness Audit What did the leaders need?
  • 15. www.johngirard.net Unknown Knowns Known Knowns Ackoff’s Apex Wisdom: The collective and individual experiences of applying knowledge to the solution of problems (p. 373). 15 john@johngirard.net Unknown Unknowns Known Unknowns Knowns and Unknowns Comp Intell HP Knowledge Information Data The Wisdom Understanding Knowledge Cogni ve Hierarchy
  • 16. A term coined to reflect very large sets. (Sultanow Chircu, 2015) www.johngirard.net 16 john@johngirard.net The Cogni.ve Hierarchy 10 Years Knowledge Information Data Ackoff’s Apex Wisdom Understanding Knowledge and very complex data Data set that is Big data is a term for any collec.on of large Big Data – Some Defini.ons and complex data sets that it becomes difficult to process. (Gordon, 2015) 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 Dif8icult Strategic Data-­‐based Wisdom in the Big Data Era
  • 17. www.johngirard.net “a group of obviously related units of which the degree and nature of the rela.onship is imperfectly known” Large Complex Dif8icult “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.” 17 john@johngirard.net Complex: A Defini.on Knowledge Information Data Wisdom Understanding Knowledge Knowledge Applica.on = KM 3.0 Knowledge Creation 14 November 2004 Hurricane
  • 18. What do we know about Big Data? www.johngirard.net 18 john@johngirard.net An Example Big Data
  • 19. www.johngirard.net 19 www.google.com/trends/ john@johngirard.net Big Data is Global www.google.com/trends/ Big Data is NOT just technology
  • 20. www.johngirard.net Branson’s secret weapon is carrying an old-­‐fashioned notebook with him everywhere he goes. 20 john@johngirard.net Focus on the desired end state … The right technology
  • 21. www.johngirard.net 2013 h0p://www.domo.com/learn/data-­‐never-­‐sleeps-­‐2 21 john@johngirard.net h0p://melmeric.files.wordpress.com /2012/03/big-­‐data-­‐and-­‐the-­‐web.pdf 2011 Size (and growth) Ma0ers
  • 22. Size is not measured in terabytes but rather business processes www.johngirard.net http://www.youtube.com/watch?v=B27SpLOOhWw 22 http://www.domo.com/ john@johngirard.net It is NOT just about size The Size of Big Data
  • 24. www.johngirard.net 24 john@johngirard.net Is Big Data owned by the CIO? The CIO’s task is to help the CEO/COO see …
  • 25. www.johngirard.net 25 john@johngirard.net KM 3.0 What do you think? Slides available at: www.johngirard.net/xxxx