At this time of year (January 2012) a number of industry commentators pop their heads above the parapet to suggest what we’re likely to see happening in the market over the coming year. Not to be left out, I asked the neutrinobi team what they thought the market would look like over the next 18 months, and after some great debate, this is what we came up with: Increased interest in collaborative/social BI Demand for BI without boundaries Enterprises embrace a wider portfolio of BI tools Data Discovery comes of age The real BI search is ‘Freeform’ Data integration - overcoming the silos Interactive data visualisation becomes a fundamental requirement Demand for real-time results means in-memory technology becomes mainstream To big data...and beyond! Cloud-based BI? The conversation continues This paper explains each of these projections in a bit more detail, and throughout January, with help from Jon Woodward (CEO), Patrick Foody (CTO), and Andy Bailey (Pre-Sales Consultant), we’ll be looking at some of these concepts in a bit more detail in our blog: http://www.nbi-blog.com.

1. BI
Market
Trends
for
2012
Our
top
ten
predic8ons
for
the
year
ahead

2. 1.
Increased
Interest
In
Collabora8ve/Social
BI
Business
users
have
established
new
ways
of
sharing
and
collabora8ng
using
LinkedIn,
Facebook,
Wikipedia,
Web
2.0
and
other
social
plaHorms.
Collabora8ve
BI
tools
that
take
advantage
of
this
behaviour
and
make
it
possible
for
business
teams
to
search,
rate,
comment
on,
and
request
enhancements
to
content
will
become
more
and
more
desirable
in
suppor8ng
cross-­‐func8onal,
dispersed
and
flash-­‐teams.
These
tools
can
enhance
efficiency
and
increase
the
speed
of
decision-­‐
making.
2012
will
see
the
first
return
on
value
for
early
adopters
of
BI
tools
that
support
knowledge
worker
collabora=on.
January
11,
2012
|
Slide
1

3. 2.
Demand
for
BI
Without
Boundaries
Knowledge
workers
have
driven
more
than
70%
of
the
economic
growth
of
the
US
over
the
last
three
decades.
Over
85%
of
new
jobs
created
in
the
last
decade
required
complex
informa8on
analysis
skills
(McKinsey
Global).
Today’s
knowledge
workers
operate
at
all
levels
in
highly
distributed,
fast-­‐paced,
highly
compe88ve
environments
but
using
systems
conceived
to
answer
yesterday’s
ques8ons.
There’s
increased
demand
for
accessible,
agile
BI
for
use
within
the
office,
and
when
mobile
(on
iPads,
smartphones
and
smart
devices).
With
40%
of
today’s
BI
budget
now
controlled
by
business
unit
this
is
becoming
a
reality.
Lines
of
business
within
the
organisa=on
will
con=nue
to
drive
the
wider
adop=on
of
BI.
January
11,
2012
|
Slide
2

4. 3.
Enterprises
Embrace
a
Broader
PorHolio
of
BI
tools
Less
than
30%
of
poten8al
users
have
adopted
BI
today
because
they’re
too
complex,
slow
and
inaccurate
(Gartner).
Organisa8ons
are
benefiang
from
a
new
range
of
technologies
driven
from
the
consumer-­‐space.
According
to
James
Richardson
of
Gartner
these
include:
interac8ve
visualisa8on,
integrated
search,
and
in-­‐memory
processing.
Individual
lines
of
business
are
by-­‐passing
IT
to
adopt
these
“BI
tools
with
the
func8onality
to
get
things
done”
according
to
Boris
Evelson
of
Forrester.
Organisa=ons
are
increasingly
taking
a
porAolio
approach
to
BI
tools
to
support
pervasive
BI.
January
11,
2012
|
Slide
3

5. 4.
Interac8ve
Visualisa8on
Is
Fundamental
Data
visualisa8on
is
key
to
helping
users
to
generate
graphically
interes8ng
reports,
provide
effec8ve
communica8ons
and
enable
them
to
spot
trends
and
issues.
Interac8ve
data
visualisa8on
goes
a
step
further.
It
allows
users
to
ask-­‐ques8ons
of
what
they
see,
dig
deeper,
change
what
they’re
viewing
and
the
format
they’re
viewing
it
in,
layer
charts
on
top
of
each
other
and
see
a
pipeline
of
data
in
real-­‐8me.
Increased
awareness
and
business
acceptance
of
visual
query
tools
in
2012
will
make
data
explora=on
and
discovery
a
much
bigger
part
of
any
organisa=on’s
BI
prac=ces.
January
11,
2012
|
Slide
4

6. 5.
Data
Discovery
Comes
of
Age
There
are
significantly
more
visual
query
tools
now
available
on
the
market
to
sa8sfy
demand
for
self-­‐service
BI.
But
many
of
these
s8ll
‘constrain’
the
user
to
ask
ques8ons
predefined
by
the
interface
in
terms
of
their
ability
to
drill-­‐down
in
a
faceted
search.
True
Data
discovery
tools
allow
business
users
to
‘ask
any
ques8on’,
and
explore
across
mul8ple
data
sources
without
having
to
pre-­‐determine
the
‘right
ques8on’.
In
2012,
data
query
and
analysis
will
begin
to
make
the
move
from
predictable
search
and
analysis
to
a
more
rapid
and
organic
data
discovery
model.
January
11,
2012
|
Slide
5

7. 6.
Real
Discoveries
Come
from
‘Freeform
Search’
Today’s
knowledge
workers
have
grown
accustomed
to
using
internet
search
engines
to
find
the
informa8on
they
need.
Yet
when
it
comes
to
organisa8onal
business
intelligence
they’re
either
forced
to
work
through
IT
to
get
a
report
run
off,
or
they
are
constrained
by
a
faceted
drill-­‐down
search
that
has
been
pre-­‐defined
and
pre-­‐
programmed
for
them.
In
2012,
the
industry
will
become
aware
of
a
new
approach
to
search
–
one
that
is
truly
similar
to
an
internet
search
on
structured
data.
We
call
it
‘freeform’.
January
11,
2012
|
Slide
6

8. 7.
Overcoming
Data
Silos
Big
data
has
frequently
resulted
in
‘data
sprawl’
across
different
repositories,
systems,
plaHorms
and
geographies.
Combining
this
data
without
aggrega8ng
it
in
some
monolithic
system
can
be
challenging
and
frustra8ng.
Data
discovery
can
provide
integrated
data
search
across
a
myriad
of
sources,
wherever
they
reside.
It
can
also
be
used
to
support
master-­‐data-­‐management
(MDM)
projects
by
loca8ng
and
capturing
metadata
across
data
sources
and
uncovering
rela8onships
between
data
elements.
In
the
next
few
years
data
discovery
tools
will
gain
further
popularity
as
a
means
of
data
integra=on.
January
11,
2012
|
Slide
7

9. 8.
Real-­‐8me
Means
In-­‐Memory
Becomes
Mainstream
Demand
for
faster,
real-­‐8me
results
has
meant
that
in-­‐memory
analy8cs
are
now
used
across
databases
and
other
analy8c
tools,
including
neutrinoBI.
In-­‐memory
search
is
no
longer
a
differen8ator
between
products.
Instead,
other
performance-­‐related
factors
including
implementa8on
speed,
8me
between
search
and
generate,
and
system
related
power/performance
will
become
more
important
in
terms
of
differen8a8on
between
BI
tools.
In-­‐memory
analy=cs
will
become
mainstream.
Other
performance-­‐
related
features
will
differen=ate
BI
tools.
January
11,
2012
|
Slide
8

10. 9.
To
Big
Data
and
Beyond!
“Big
Data”
–
it’s
not
just
the
old
data
stores,
but
the
new
streams
that
are
growing
all
the
8me,
at
a
rate
of
15PBs
per
day
according
to
IDC.
Big
data
means
that
there’s
more
data
to
store,
integrate,
search
and
analyze.
However,
big
data
shouldn’t
necessitate
Big
BI
–
large
monolithic
machines
and
Petascale
databases.
Enterprises
are
becoming
increasingly
savvy
in
their
approach
to
handling
Big
Data
for
BI.
We
believe
that
big
data
will
con=nue
to
drive
new
approaches
to
BI
in
2012.
January
11,
2012
|
Slide
9

11. 10.
Cloud-­‐based
BI?
The
Conversa8on
Con8nues
The
debate
about
cloud-­‐based
BI
con8nues.
On
the
one
hand
it
would
appear
an
ideal
way
of
scaling
to
keep
pace
with
big
data.
On
the
other,
releasing
data
assets
and
conduc8ng
analysis
on
petabytes
of
data
outside
the
security
of
organisa8onal
boundaries
would
appear
to
be
an
ongoing
constraint.
Despite
increasing
hype
and
moun=ng
interest,
cloud-­‐based
BI
search
and
analy=cs
s=ll
has
a
long
road
ahead.
January
11,
2012
|
Slide
10

12. It’s
the
BI
freedom
you’ve
been
wai8ng
for
Accelerate
your
discoveries
January
11,
2012
|
Slide
11