Hot Technologies of 2013 with Bloor, Fitzgerald & Neutrino BI Live Webcast July 17, 2013 http://www.insideanalysis.com Somewhere in your data, discoveries wait to be found. Finding them can be quite a challenge, though, which is why data discovery gets so much attention these days. A whole array of tools is being promoted for data visualization and business discovery. But what are the component parts of this technology? And how can discovery tools be used to sift through vast amounts of data effectively? Register for this episode of Hot Technologies to find out! Analysts Dr. Robin Bloor of The Bloor Group, and Jaime Fitzgerald of Fitzgerald Analytics will each offer their take on what constitutes a high-quality discovery tool. They'll then take a briefing from Jon Woodward of Neutrino BI, who will tout his company's platform for facilitating data discovery. He'll talk about the value of being able to go "direct to data" during the discovery process. He'll also outline their roadmap for developing a next-generation "smart" discovery platform.

1. H T
Technologies
2013

2. HOST:
Eric
Kavanagh

3.
THIS
YEAR
is…

4. Data
Discovery
ž Data
discovery
provides
visibility
into
enterprise
information
assets
ž Good
data
discovery
delivers
intelligence
and
insight,
and
great
data
discovery
enables
action
ž People
process
information
visually—it
makes
sense
to
use
a
BI
tool
that
naturally
follows
the
visual
train
of
thought

5. ANALYST:
Jaime
Fitzgerald
Founder
&
President,
Fitzgerald
Analytics
ANALYST:
Robin
Bloor
Chief
Analyst,
The
Bloor
Group
GUEST:
Jon
Woodward
CEO,
Neutrino
BI
THE
LINE
UP

6. INTRODUCING
Jaime
Fitzgerald
Architects
of
Fact-­‐Based
Decisions™

7. Data
Discovery
for
Big
Insights
Jaime
Fitzgerald
Founder
&
Managing
Partner,
Fitzgerald
Analy?cs
July
17,
2013
Architects
of
Fact-­‐Based
Decisions™

8. 8
Data
Discovery
for
Big
Insights
©
2013
Fitzgerald
Analy>cs,
Inc.
All
Rights
Reserved
Nice
to
meet
you,
I’m
Jaime
Fitzgerald
Transforming
data
into
dollars
for
17
years
Founded
Fitzgerald
Analy?cs
in
2005
TwiJer:
@jaimefitzgerald
@fitzanaly?cs
Hashtag:
#D2DVC
Focus
§ Created
Data
to
Dollars
Value
Chain™
framework.
§ Author
of
book
on
the
methodology
Pub
date:
early
‘14
via
Morgan
Kaufmann
Making
it
Easier
to
Find
Opportuni?es
to
turn
Data
into
Results….
….and
BeJer
Ways
to
Unlock
That
Poten?al
Results
so
Far

9. 9
Data
Discovery
for
Big
Insights
©
2013
Fitzgerald
Analy>cs,
Inc.
All
Rights
Reserved
If
“Data
is
the
New
Oil,”
how
do
we
use
it
well?*
*first
included
in
a
report
from
the
World
Economic
Forum,
the
phrase
““Data
is
the
New
Oil”
has
since
been
used
widely,
in
both
realis>c
and
unrealis>c
ways.

10. 10
Data
Discovery
for
Big
Insights
©
2013
Fitzgerald
Analy>cs,
Inc.
All
Rights
Reserved
§ New
Data
Source
Acquisi>on
§ Data
Discovery
§ Data
Quality
§ Data
Governance
Analysis
Insight
§ Decisions
§ Ac>ons
§ Financial
Impact
§ New
Data
§ New
Opportuni>es
Visualizing
the
Process
3.
Results
2.
Analysis
1.
Data
The
Data
to
Dollars
Value
Chain™
Naviga?on
Tips:
1. Avoid
Linearity
(loop
back
oden)
2. Stay
Agile
3. Keep
Oriented
(“line
of
sight”
/
“why
am
I
doing
this?)

11. 11
Data
Discovery
for
Big
Insights
©
2013
Fitzgerald
Analy>cs,
Inc.
All
Rights
Reserved
Salient
Trends
in
Data
Discovery
Trend
Implica?on
1.
Agile
Analy?cs
Users
need
more
flexible
&
efficient
tools
for
rapid-­‐cycle,
itera>ve
analysis
2.
Big
Data
More
data,
in
a
variety
of
formats,
is
available
and
needs
to
be
profiled,
processed,
integrated,
and
used
appropriately
3.
Data
Visualiza?on
Today’s
execu>ves,
managers,
and
analysts
expect
insights
to
be
delivered
visually.
Data
visualiza>on
has
gone
from
“nice
to
have”
to
“expected.”

12. 12
Data
Discovery
for
Big
Insights
©
2013
Fitzgerald
Analy>cs,
Inc.
All
Rights
Reserved
Key
Success
Factors
1. “Begin
with
the
End
in
Mind”
(Goal-­‐Centricity)
2.
Agility
&
Fast
Itera?on
3. Take
advantage
of
BOTH
1. “Known
Unknowns”
and
2. “Unknown
Unknowns”
4. Cross-­‐Func?onal
Collabora?on
(IT,
Data,
Business,
Domain
Experts)

13. INTRODUCING
Robin
Bloor

14. A NEW
UNIVERSE
OF BI?The Self-Service
Dynamic
The Expertise
of the
BI User

15. The Future of BI
• End-to-end: from data
access to usage
• Performance/timeliness
(overall)
• Self-service
The Next Generation of
BI is based on:

16. Self-Service Issues
• Governance
& Approval
• Data self-service
• Skills
• Actual efficiency

17. Self-service & Productivity
The level of self-service, and its usefulness, is not a simple
thing. In the BEST of circumstances the user probably
cannot self-design the way their whole job works,
so EASE-OF-USE and FLEXIBILITY count.

18. BI: Of the User, By the User, For the User
The issues in summary:
Data flow
integration/
automation
Performance/
timeliness
(overall)
Data coverage:
data sources, also structured/
unstructured data
Data cleansing
Data access
skills
Shareability ActionabilityVisualizations

19. Image credit on Slide 2: mhbphoto /123RF Stock Photo
Thank You Robin Bloor
Robin.Bloor@bloorgroup.com
www.bloorgroup.com

20. INTRODUCING
Jon
Woodward

21. Smart
Data
Discovery
The
next
step
in
visual
analy>cs
&
data
discovery
Jon
Woodward,
CEO,
NeutrinoBI

22. July
16,
2013
|
Slide
22
Since
1958…
the
quest
for
answers
Database
&
Data
Warehouse
Repor?ng
OLAP
Visual
Data
Discovery
Mobile
SMART
Predic?ve
Big
data
Data
silos
Complex
fabric
Mul>ple
devices
1960
1980
2010
2013

23. July
16,
2013
|
Slide
23
What
are
we
searching
for?
A
tool
that
will
allow
ANYONE
to…
Ask
the
RIGHT
QUESTION
Get
insights
that
are
RIGHT
FOR
THEM
At
the
RIGHT
TIME
to
impact
today’s
decision
Ac?onable
insight

24. July
16,
2013
|
Slide
24
Are
we
nearly
there
yet?
• S>ll
a
long-­‐way
from
pervasive
BI
–
adop?on
remains
at
24%
• 1st
genera>on
data
discovery
tools
are
s?ll
difficult
to
use
• Applica>ons
must
be
built,
constrained
by
today’s
thinking
• Designed
as
‘one-­‐size
fits
all’
Data
Discovery
Dashboards
Predic>ve
analy>cs
KPI
Alerts
Some
limited
collabora?on
Faceted
search
In-­‐memory
Mobile
BI
We’re
s>ll
falling
short
of
Smart
Data
Discovery

25. July
16,
2013
|
Slide
25
What
would
Smart
Data
Discovery
look
like?
“Tell
me
more
about…”
“What’s
the
stock
price
of…”
“How
many
units
of
Widget
Y
were
sold
yesterday?...”
“Good
morning
–
the
key
alerts
for
your
aoen>on
today
are…”

26. July
16,
2013
|
Slide
26
What
are
the
components
of
a
smart
tool?
Ability
to
ask
any
ques?on
Beau?ful,
clear
visual
answers
Con>nuously
learn
from
ques>ons
&
answers

27. July
16,
2013
|
Slide
27
What
should
Ques>on
look
like?
Allow
you
to
ask
any
way
you
want
• Voice
or
touch
• Text
or
type
Understand
what
you
mean
• Context
• Loca>on
Provide
a
universe
of
intelligence
to
draw
from
• Big
data
just
another
source
• Real
>me,
anywhere

28. July
16,
2013
|
Slide
28
What
difference
could
Learn
make?
Ask
help
you
to
refine
your
ques>on
Observe
the
context
you’re
asking
from
Listen
and
take
note
of
the
Ques>ons
being
asked
Expand
the
picture
with
Insight
from
your
social
network
Alert
you
to
when
answers
have
changed
Be
proac?ve
serve
up
insight
based
on
what
you’ve
been
asking

29. July
16,
2013
|
Slide
29
What
does
a
Beau>ful
interface
look
like?
Consistent
Immersive
Op>mised

30. July
16,
2013
|
Slide
30
All
of
this
AND…
The
smart
BI
tool
wouldn’t
need
you
to
build
an
applicaBon
interface,
or
invest
in
further
development
every
Bme
the
world
of
your
data
discovery
changed.

31. July
16,
2013
|
Slide
31
Introducing
NeutrinoBI

32. July
16,
2013
|
Slide
32
Just
ask!

33. July
16,
2013
|
Slide
33
Interact
&
Share

34. July
16,
2013
|
Slide
34
Search,
discover,
share…any>me
&
anywhere

35. July
16,
2013
|
Slide
35
No
applica>on
development
=
rapid
implementa>on

36. July
16,
2013
|
Slide
36
How
long
do
I
have
to
wait
for
Smart
Data
Discovery?

37. July
16,
2013
|
Slide
37
Next
steps…
Visit
www.neutrinobi.com
To
learn
more
about
NeutrinoBI:
Request
a
live
demo
webinar
email:
demo@neutrinobi.com
See
NeutrinoBI
in
ac>on
For
POC
in
less
than
a
day,
email:
poc@neutrinobi.com
Discover
the
benefits
of
NeutrinoBI
on
your
data

38. July
16,
2013
|
Slide
38
Accelerate
your
discoveries

40. The
Archive
Trifecta:
• Inside
Analysis
www.insideanalysis.com
• SlideShare
www.slideshare.net/InsideAnalysis
• YouTube
www.youtube.com/user/BloorGroup
THANK
YOU!