Want to get involved in our big data/big content efforts? Direct Tweet me at jmancini77 -- I also did a blog post on this topic -- http://www.digitallandfill.org/2012/03/big-data-and-big-content-just-hype-or-a-real-opportunity.html

1. #AIIM12
Perspec'ves
on
Big
Data
Why
Should
You
Care?
John
Mancini,
AIIM
@jmancini77
DigitalLandfill.org

2. 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
interacUon
managed
Best
known
Digital
IBM
MicrosoR
Google
Facebook
company
Equipment
Social
Content
Image
Document
Content
Microfilm
Business
mgmt
focus
Mgmt
Mgmt
Mgmt
Systems

3. 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

4. Massive
Volumes
of
Informa'on
• Per
Fortune,
by
2020,
Internet
connected
devices
will
grow
from
400
million
today
to
50
billion.
These
devices
will
be
talking
to
each
other
and
to
the
Internet.
By
2020,
it
is
also
predicted
that
our
smart
phones
will
have
the
capability
of
storing
and
accessing
as
much
informaUon
as
IBM’s
Watson
and
super-­‐
computers
can.

5. Considered
overall,
to
what
degree
does
your
organiza'on
exploit
its
informa'on
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

6. Value
of
InformaUon
per
Unit
to
OrganizaUon
1
HIGH
DENSITY
LOW
DENSITY
Systems
of
Record
Systems
of
Engagement
4
Key
driver
#1:
COST
revoluUonized
by
cloud,
HADOOP,
NoSQL
Managed
via
Structured
InformaUon
tradiUonal
BI
and
Data
3
BIG
DATA
i.e.,
“data”
Warehousing
Volume,
Velocity,
Variety,
Complexity
2
6
BIG
CONTENT
Currently
Unstructured
unmanaged
Social,
images,
audio,
video,
text
InformaUon
i.e.,
“content”
Managed
in
ECM
&
ERM
5
systems
Key
driver
#2:
USABILITY
revoluUonized
by
advances
in
semanUcs,
search,
content
&
text
analyUcs,
print
stream
analyUcs,
NLP,
and
visualizaUon
Original
concept
–
Freeform
Dynamics

7. What
kinds
of
business
problems
can
big
data
help
address?
• Modeling
risk
and
failure
predicUon
• Analyzing
customer
churn
• Web
recommendaUons
(ala
Amazon)
• Web
ad
targeUng
• Point
of
sale
transacUon
analysis
• Threat
analysis
• Compliance
and
search
effecUveness
Source
–
Cloudera.com

8. Vendor
opportuni'es
§ Move
“Big”
value
proposiUon
from
reduced
cost
to
new
value
§ “Big
data”
vendors
–
extend
reach
beyond
pure
data
by
helping
organizaUons
extract
value
and
extend
analyUc
techniques
to
unmanaged
unstructured
informaUon.
§ “Big
content”
vendors
–
extend
reach
beyond
tradiUonal
“high-­‐value”
(largely
document-­‐centric)
content
to
find
value
in
massive
new
quanUUes
of
unstructured
informaUon.

9. AIIM’s
Plans
–
and
where
you
can
connect
• AIIM
Industry
Watch
• Late
May
publish;
survey
to
go
live
the
first
week
of
April.
• Those
who
commit
to
sponsoring
by
the
end
of
March
can
see
the
draR
quesUons
and
weigh
in.
• AIIM
Webinars
• Archiving
&
Governance
in
the
Big
Data
Era,
April
11
• Big
Data/Big
Content
(based
on
survey),
June
20
• Execu5ve
Leadership
Council
• Understanding
Big
Data
and
its
Impact
on
Buyer
Behavior
• London,
Sept
6
-­‐
7
for
the
European
Council
• Dallas,
Nov
29
-­‐
30
for
the
American
Council
• White
paper
and
all
deliverables
extensively
distributed

10. Cool
stuff

11. Mining
social
streams…
for
predic'ons
about
the
next
hit…
nextbigsound.com

12. Mining
social
streams…for
the
best
food
DishUp.com

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

14. Using
text
analy'cs
to
mo'vate
voters

15. Taking
Watson
to
finance
and
healthcare

16. Using
sta's'cal
analysis
to
predict
tastes