This is the first part of a 5-part series on the Information Challenges facing organizations. A white paper describing these challenges can be found here - http://pages2.aiim.org/CIPWebPage_InfoProWP.html

1. The
New
Normal:
Get
Ready
for
the
Era
of
Extreme
Informa7on
Management
John
Mancini
President,
AIIM
@jmancini77
DigitalLandfill.org

2. Giving
Credit
Where
Credit
is
Due…
I
didn’t
make
up
the
term
“Extreme
Informa7on
Management”
I
first
heard
it
used
by
Gartner.
But
I
like
it
a
lot.

3. Big
Data
is
not
just
“more
data.”
-­‐-­‐Thornton
May

7. The
Chessboard
Fable

8. We
are
reaching
the
2nd
half
of
“Moore’s
Chessboard,”
drama7cally
changing
what
informa7on
means
to
our
organiza7ons
and
how
it
must
be
managed.

9. aiim.org/futurehistory

10. Systems
of
Engagement
Social
and
Era
Mainframe
Mini
PC
Internet
Cloud
Systems
of
Record
Years
1960-­‐1975
1975-­‐1992
1992-­‐2001
2001-­‐2009
2010-­‐2015
Typical
A
batch
A
dept
A
An
thing
A
web
page
trans
process
document
interac7on
managed
Best
known
Digital
IBM
Microso`
Google
Facebook
company
Equipment
Social
Content
Image
Document
Content
Microfilm
Business
mgmt
focus
Mgmt
Mgmt
Mgmt
Systems

11. Considera*on
Systems
of
Record
Systems
of
Engagement
Focus
Transac7ons
Interac7ons
Governance
Command
&
Control
Collabora7on
Core
Elements
Facts
&
Commitments
Ideas
&
Nuances
Value
Single
Source
of
Truth
Discovery
&
Dialog
Standard
Accurate
&
Complete
Immediate
&
Accessible
Content
Authored
Communal
Primary
Record
Type
Documents
Conversa7ons
Searchability
Easy
Hard
Usability
User
is
trained
User
“knows”
Accessibility
Regulated
&
Contained
Ad
Hoc
&
Open
Reten7on
Permanent
Transient
Policy
Focus
Security
(Protect
Assets)
Privacy
(Protect
Users)

12. Systems
of
Engagement
• For
the
past
decade,
companies
have
been
accumula5ng
data
in
what
we
call
a
system
of
record.
Those
who
survive
going
forward
will
also
have
systems
of
engagement
–
h=p://www.aiim.org/futurehistory
-­‐-­‐
start
with
evalua5ng
how
you
can
have
a
relevant
conversa5on
with
each
individual
customer
across
all
channels.
And
insuring
you
have
the
analy5cal
capability
and
the
data
to
support
that
analysis.
That
is
where
the
linkage
is
between
the
system
of
record
data
to
system
of
engagement.
On
the
technology
side,
we
believe
the
future
of
handling
this
volume
lies
in
leveraging
the
capability
of
the
cloud.
• Yuchon
Lee,
Vice
President,
IBM

13. Our
5-­‐Point
Manifesto
1. Commit
to
the
cloud.
2. Mobilize
everything.
3. Make
the
business
social.
4. Digi7ze
anything
that
moves.
5. Prepare
for
informa7on
management
on
a
massive
scale.

14. According
to
IDC
–
Between
now
and
2020…
• 44X
growth
in
informa7on
• 75X
growth
in
informa7on
“containers”
BUT…
• 1.4X
growth
in
IT
professionals

15. The
drama7c
changes
in
the
consumer
space
provide
a
hint
as
to
what
is
coming…

16. Source
=
hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/

17. Source
=
hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/

18. Source
=
hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/

19. Source
=
hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/

20. Source
=
hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/

21. Source
=
hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/

22. Source
=
hnp://www.mbaonline.com/a-­‐day-­‐in-­‐the-­‐internet/

23. Prepare
for
extreme
informa7on
management.

24. We
are
moving
from
the
Systems
of
Record
era
in
which
our
focus
was
on
high-­‐value
informa7on
assets
to
the
Systems
of
Engagement
era
in
which
volume
and
complexity
and
velocity
are
increasingly
drama7cally.

25. Value
of
Informa7on
per
Unit
to
Organiza7on
HIGH
DENSITY
Systems
of
Record
1
Managed
via
Structured
tradi7onal
BI
Informa7on
and
Data
i.e.,
“data”
Warehousing
Original
concept
–
Freeform
Dynamics

26. Value
of
Informa7on
per
Unit
to
Organiza7on
HIGH
Value/Byte
Systems
of
Record
1
Managed
via
Structured
tradi7onal
BI
Informa7on
and
Data
i.e.,
“data”
Warehousing
2
Unstructured
Currently
Informa7on
unmanaged
i.e.,
“content”
Managed
in
ECM
&
ERM
systems
Original
concept
–
Freeform
Dynamics

27. Value
of
Informa7on
per
Unit
to
Organiza7on
HIGH
Value/Byte
LOW
Value/Byte
Systems
of
Record
Systems
of
Engagement
1
3
BIG
DATA
Managed
via
Structured
tradi7onal
BI
Internet
of
things
–
e.g.,
climate
Informa7on
and
Data
data,
transac7on
records,
phone
i.e.,
“data”
Warehousing
GPS
data
–
intelligent,
interconnected,
and
everywhere
Volume,
Velocity,
Variety,
Complexity
2
2.5
quin7llion
bytes/day
Unstructured
Currently
4
Informa7on
unmanaged
BIG
CONTENT
i.e.,
“content”
Social,
images,
audio,
video,
text,
Managed
in
office
apps,
web
traffic,
print
ECM
&
ERM
streams,
email,
documents
systems
Original
concept
–
Freeform
Dynamics

28. Considered
overall,
to
what
degree
does
your
organiza7on
exploit
its
informa7on
assets
for
analysis
and
decision
making
purposes?
0%
20%
40%
60%
80%
100%
Structured
data
Unstructured
data
5
Fully
4
3
2
1-­‐Poorly
Unsure
Source:
Online
survey
of
Register
readers,
122
respondents,
first
half
of
November
2011,
Freeform
Dynamics

29. The
New
Normal
• Volume:
Enterprises
are
awash
with
ever-­‐growing
data
of
all
types,
easily
amassing
terabytes—even
petabytes—of
informa7on.
– Turn
12
terabytes
of
Tweets
created
daily
into
improved
product
sen7ment
analysis
– Convert
350
billion
meter
readings
per
annum
to
bener
predict
power
consump7on
• Velocity:
Some7mes
2
minutes
is
too
late.
For
7me-­‐sensi7ve
processes
such
as
catching
fraud,
big
data
must
be
used
as
it
streams
into
your
enterprise
in
order
to
maximize
its
value.
– Scru7nize
5
million
trade
events
per
day
to
iden7fy
poten7al
fraud
– Analyze
500
million
call
detail
records
per
day
in
real-­‐7me
to
predict
customer
churn
faster
• Variety:
Big
data
is
any
type
of
data
-­‐
structured
and
unstructured
data
such
as
text,
sensor
data,
audio,
video,
click
streams,
log
files
and
more.
New
insights
are
found
when
analyzing
these
data
types
together.
– Use
100’s
of
live
video
feeds
from
surveillance
cameras
to
monitor
points
of
interest
– Take
advantage
of
the
80%
data
growth
in
images,
video
and
documents
to
improve
customer
sa7sfac7on
Source
=
IBM

30. The
New
Normal
• The
vast
majority
of
the
world’s
informa7on
is
unstructured.
• Unstructured
informa7on
growing
15X
faster
than
structured.
• Raw
compu7ng
power
growing
so
fast
that
an
off-­‐the-­‐shelf
box
approaching
the
compu7ng
power
of
a
super
computer
5
years
ago.
• “Democra7za7on”
of
informa7on
access.
Source
=
Understanding
Big
Data:
Analy5cs
for
Enterprise
Class
Hadoop
and
Streamng
Data

31. Irra7onal
thinking
• Get
rid
of
as
much
as
• Save
everything
that
you
you
can:
can:
– Li7ga7on
risk
– Might
need
it
“someday”
– Compliance
risk
– Poten7al
aggregated
value
– Storage
cost
– Disposi7on
uncertainty
High
Value/Byte
Low
Value/Byte

32. Welcome
to
the
Era
of
Extreme
Informa7on

33. 5
Things
to
Remember
About
Extreme
Informa7on
AIIM.org/research

34. #1:
Most
organiza7ons
do
not
have
the
basics
in
place.

35. • 61%
report
“content
chaos”
re
unstructured
informa7on.
• 80%
have
no
extended
search
across
mul7ple
repositories.
• For
70%,
harder
to
find
your
own
stuff
than
stuff
on
the
web.

36. #2:
No
one
except
“the
industry”
cares
about
“structured”
vs.
“unstructured.”
61%
would
find
it
“very
useful”
to
link
structured
and
unstructured
datasets.

37. #3:
Manual
records
management
is
dead.

38. • 66%
have
an
informa7on
management
strategy,
but
only
22
percent
use
it.
• 79%
have
an
informa7on
reten7on
policy,
but
only
32
percent
enforce
it.
• 58%
say
that
a
single
enterprise
records
management
model
underlying
all
content
systems
is
their
goal,
yet
only
9%
have
achieved
this.
Source:
AIIM,
Process
Revolu7on:
Moving
Your
Business
from
Paper
to
PC
to
Tablet

39. #4:
The
future
is
in
metadata.

40. • “The
solu7on
to
the
over
abundance
of
informa7on
is
more
informa7on.”
– David
Weinberger
• “Data
that
is
seman7c
means
exactly
the
same
thing
to
any
system
or
person
who
uses
it.”
– David
Siegel

41. The
New
Normal
• The
standardiza7on
of
data
sets
across
industries,
the
separa7on
of
data
from
its
descrip7on,
and
the
exposure
of
this
informa7on
in
the
cloud
create
enormous
opportuni7es.
• We
can
now
analyze
problems
that
were
previously
undiges7ble
do
to
the
sheer
scale
of
compu7ng
power
required
to
address
them.
– The
cloud,
HADOOP,
and
MapReduce
driving
division
of
vast
data
into
small
pieces
and
parsing
compu7ng
across
large
numbers
of
computers.
• We
can
now
solve
the
metadata
problem
(i.e.,
there
is
none!)
for
vast
landfills
of
unstructured
informa7on
– We
can
now
use
seman7c
technology
to
apply
metadata
where
it
didn’t
previously
exist.

42. For
example…

43. Individual
Paper
records
A
Short
History
• Copied
and
aggregated
paper
of
Financial
• Manual
compliance
and
“reading
rooms”
Repor7ng…
Individual
Computerized
records
• Aggregated
computerized
records
• Spot
audits
and
online
viewing
via
EDGAR
Separa7on
of
data
from
viewing
• XBRL
standards
–
values,
tags,
dic7onaries
• Internal
process
standardiza7on
Industry
and
regulatory
standardiza7on
• Adop7on
as
GAAP
• Mandated
by
110
countries
Standardized
data
moves
to
the
cloud
• Automated
compliance
and
availability
• Big
data
analy7c
opportuni7es
Source
=
Pull:
The
Power
of
the
Seman7c
Web

44. Mining
social
streams…
for
predic7ons
about
the
next
hit…
nextbigsound.com

45. Mining
social
streams…for
the
best
food
Dish7p.com

46. Mining
social
streams…for
drug
info
Treato.com

47. Using
text
analy7cs
to
mo7vate
voters

48. Big
Data
Process
Applica7ons
• Financial
Services
• U7li7es
– Fraud
detec7on
– Weather
analysis
– 360°
View
of
the
Customer
– Smart
grid
management
• Transporta7on
• Intelligence
– Logis7cs
op7miza7on
– System
Log
Analysis
– Traffic
conges7on
– Cybersecurity
• Health
&
Life
Sciences
• Retail
– Epidemic
early
warning
– 360°
View
of
the
Customer
– ICU
monitoring
– Real-­‐7me
promo7ons
• Telecommunica7ons
• Law
Enforcement
– Geomapping
/
marke7ng
– Mul7modal
surveillance
– Network
monitoring
– Cyber
security
detec7on
Source
=
IBM

49. The
combina7on
This
revolu7on
of
seman7cs
and
will
once
and
for
accessibility
of
all
require
the
data
in
the
cloud
elimina7on
of
is
revolu7onary.
paper
and
Across
industries
dictate
the
management
of
Across
unstructured
geography
informa7on
assets.

50. #5:
We
need
T-­‐Shaped
people
to
address
this
“extreme
informa7on”
opportunity.
AIIM.org/Cer7fica7on

51. The
emerging
informa7on
professional
• The
vast
majority
of
organiza5ons
see
the
need
to
manage
informa5on
as
an
enterprise
resource
rather
than
in
separate
"silos,"
departments
or
systems,
but
they
don't
know
how
to
begin
to
address
the
challenge,
as
it
is
so
large...
• Professional
roles
focused
on
informa5on
management
will
be
different
to
that
of
established
IT
roles.
• An
"informa5on
professional"
will
not
be
one
type
of
role
or
skill
set,
but
will
in
fact
have
a
number
of
specializa5ons.
– Deb
Logan
and
Regina
Casonata,
Gartner

52. Who
are
these
people?
IT
Legal
professional
Risk/Liability
Focus
Records
Manager
Digital
Archivist
Business
Process
Owners
Professionals
Informa7on
Value
Focus
Business
Analyst
Knowledge
Manager
Informa7on/Data
Scien7st
Ent
Informa7on
Manager
Governance
Focus
Info/Data
Stewards
Ent
Informa7on
Architect
Social
Focus
Informa7on
Curators
Community
Managers
Most
roles
from
Deb
Logan
and
Regina
Casonata,
Gartner

54. We
need
T-­‐Shaped
Professionals
BROAD
DEEP
AIIM.org/cer7fica7on
AIIM.org/training
White
paper
here
–
hnp://pages2.aiim.org/CIPWebPage_InfoProWP.html
Free
prac*ce
exam/assessment
-­‐-­‐
hnp://www.AIIM.org/CIP-­‐prac7ce-­‐exam