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M A S T E R 	 O F 	 S C I E N C E 	 I N	
Informa3on	and	Knowledge	Strategy	
Informa(on	&	Collabora(on:		
A	Match	Made	In	Heaven	
September 28, 2017
Kate Pugh
AlignConsulting and Columbia University
kp2462@columbia.edu
Journey today
•  Why	both	informa3on	management	and	collabora3on?	
•  Your	brain	
•  Being	bi-lingual							
Info	mgt	and	collab	for	Info	Gov	 2
Informa0on governance is a “renaissance” skill
Info	mgt	and	collab	for	Info	Gov	 3
4	
Information Management: 

It’s about transparency and timeliness
Access,	Use/	
Innovate	
(search,	subscribe,	
get	and	apply,	
create)	
Capture	
(e.g.,	elicit,	
record,	codify)	
Organize,	
Store		
(e.g.,	tag,	store	in	
media)	
Metadata	strategy,	
taxonomy	
4	
Info	mgt	and	collab	for	Info	Gov	 4
5	
Collaboration: 

It’s about attitude and identity
Get	
(Demonstrate	
measurable	
value)	
Feel	(Build	
confidence,	
trust,	get	
“networked”)	
Act	(e.g.,	
Transfer	
knowledge)	
Management	
Strategy	
Source:	Katrina	Pugh,	“Sustainable	Communi3es:	10	CSFs	for	Keeping	the	Faith,”	IBM	Syn.chrono.us	blog,	
2010	hUp://synch.rono.us/social/blog.nsf/dx/07192010091946AMSLIHMX.htm		
5	Info	mgt	and	collab	for	Info	Gov	
5
Informa0on Management headlines
Products	
Games	
Card	games	
Ac3on		
figures	
Board	games	
Informa3on	
Architecture	
Heterogeneous	
content/data	
Structured	&	Unstructured	
Content	
Sensor	data	
(segmenta3on,	
context	analysis,	
sen3ment	analysis,	
other	sta3s3cal	
and	predic3ve	
analysis)	
Analy3cs	and	
cogni3ve	search		
Access	
Management	
Info	mgt	and	collab	for	Info	Gov	 6
Heterogeneous Content/Data
Info	mgt	and	collab	for	Info	Gov	 7	Source:		Zenware	Bariatrak	EMR		hUp://zenware.com/our-work/		
Structured	and	unstructured	content	in	mul3ple	formats	from	mul3ple	different	types	
of	sources	must	be	consumed,	parsed,	organized,	and	made	available	for	easy	
consump3on.
Analy0cs and Cogni0ve Search
Info	mgt	and	collab	for	Info	Gov	 8	
En3ty	Extrac3on	 Auto-Classifica3on	and	
Metadata	Processing	
Word	and	Phrase	Disambigua3on	
Concept	Iden3fica3on	
Text	Analysis	
Meaning-Based	Analysis	
Sen3ment	Analysis	
Event	Analysis	
Machine	Learning	
Learning	by	Example	
Deep	Learning	
DeepQA
Collabora0on headlines
Social	Network	
Analysis	
Tacit	Knowledge	
Elicita3on/transfer	
Knowledge	
Networks		
Design Dynamics Behavior
What are
the
impacts?
What tone
and
behaviors
do we see?
What
dynamics
come into
play?
What
levers do
we pull?
Impacts
More
leverage
1.  Unifica(on	
2.  Networks	
3.  T-Shaped	
Mgr		
Unit-Unit	Collab	Levers	
Team	Collab	Levers	
Collabora3on	
Models	
Info	mgt	and	collab	for	Info	Gov	 9
Knowledge Networks: 4 Types of Impacts
Prac00oner Support

Transla0on, Local Adapta0on
Horizontal Coordina0on
CoP Learning / Innova0on
Pugh and Prusak, “Designing Effec0ve Knowledge Networks” Sloan Mgt Review, 2013
Info mgt and collab for Info Gov
10
2013: Columbia/Motorola Research: 4 Discussion disciplines drive innova0on 
Skifstad	and	Pugh,	“Beyond	ne3queUe:	Discussion	discipline	drives	innova3on”	(In	Smarter	Innova,on,	Ark	Group,	2014).		
Discussion
discipline
 Descrip0on
1. Integrity 
 Use true voice, research views,
Ask ques0ons that propel
2. Courtesy

Respect others and forum.
3. Inclusion 
 Broaden the perspec0ve.
Explain terms, call others in.
4. Transla0on 
 Summarize/use insights
generated, and help others
with summariza0ons.
Benefit to
Collabora0on
Primarily tonal;
builds community
and social capital.
Primarily content-
related; drives
innova0on.

11Four Discussion DisciplinesInfo	mgt	and	collab	for	Info	Gov	 11
These are interdependent!
Info	mgt	and	collab	for	Info	Gov	 12	
Access,	Use/	
Innovate	
(search,	subscribe,	
get	and	apply,	
create)	
Capture	
(e.g.,	elicit,	
record,	codify)	
Organize,	
Store		
(e.g.,	tag,	store	in	
media)	
Get	
(Demonstrate	
measurable	
value)	
Feel	(Build	
confidence,	
trust,	get	
“networked”)	
Act	(e.g.,	
Transfer	
knowledge)	
Act	includes	
sharing,	tagging	
Gelng	
requires	good	
findability	
Elici3ng	requires	
transla3on	/	diversity	
Organizing	requires	
collec3ve	sense-making,	
conversa3on	
Sharing	directly	or	
indirectly	is	behind	
findability	-	empathy	
Confidence,	trust
lead	to	quality	
engagement	and	
content	
contribu3on
(Basal	Ganglia)	
Prefrontal	Cortex	
(includes	Orbital	frontal	
Encoding,	 Forming	Habits,	 Reac(ng	to	Gaps	
Source:	Brain	injury	resource	center	(hUp://www.headinjury.com/brainmapx.htm	)	
13	
MTL/	
Crea,vity	and	insight:	
Lateral	brain	
connec,ons		
Brain:	
Info	mgt	and	collab	for	Info	Gov
IM and Collabora0on are using different brain
func0ons
Info	mgt	and	collab	for	Info	Gov	 14	
PFC	–	planning,	linear	 Lateral	brain	connec3ons	
IM:	Rows	and	Columns	 Collabora3on:	Circles
A^en0on density
• “With	enough	aUen3on	density,	
individual	thoughts	and	acts	of	the	
mind	can	become	an	intrinsic	part	of	
an	individual’s	iden(ty:	who	one	is,	
how	one	perceives	the	world,	and	
how	one’s	brain	works.”	
	
David	Rock	and		Jeffrey	Schwartz,	The	Neuroscience	of	Leadership,	Strategy	and	Business,	2006,	Reprint	No.	06207		 15	Info	mgt	and	collab	for	Info	Gov
IoT: Info and Collabora0on
• Standards		
• Open	source	
• Partnerships	
Info	mgt	and	collab	for	Info	Gov	 16
We must bring our whole selves…
Comply	 Be	inter-
dependent	
Be	ready	
to	change	
Coordina3on	 Collabora3on	Coopera3on	
Source: Columbia University Information and Knowledge Strategy Master’s Program, 2016
17
Pugh	IoT	April	2017	18	
Kate Pugh, Columbia University
Pugh	IoT	April	2017	 18	
kp2462@Columbia.edu	
www.sps.columbia.edu/ikns	
www.alignconsul3nginc.com	
TwiUer:	katrinapugh	
	
	
	
•  KM	and	the	Internet	of	Things	(KMWorld,	2016,	with	Ralph	Poole)	
•  Smarter	Innova,on	(Ark	Group)		
•  Designing	Effec3ve	Knowledge	Networks	(MIT	Sloan	Management	
Review)	
•  Sharing	Hidden	Know-How	(Wiley/Jossey-Bass)

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