1. The Briefing Room

2. Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
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3. Mission
! Reveal the essential characteristics of enterprise software,
good and bad
! Provide a forum for detailed analysis of today s innovative
technologies
! Give vendors a chance to explain their product to savvy
analysts
! Allow audience members to pose serious questions... and get
answers!
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4. JANUARY: Big Data
February: Analytics
March: Open Source
April: Intelligence
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5. Big Data
Copyrighted property. May not be copied or downloaded without permission from 123RF Limited.
COMBINING DATA
FINDING MEANINGFUL DATA SETS
GLEANING INSIGHTS
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6. Analyst: Lyndsay Wise
Lyndsay Wise is the president and
founder of WiseAnalytics, a boutique
analyst and consultancy firm.
Lyndsay has ten years of IT
experience in business systems
analysis, software selection, and
implementation of enterprise
applications. She provides consulting
services for small and mid-sized
companies and conducts research
into leading technologies, market
trends, BI products and vendors,
mid-market needs, and data
visualization.
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7. Tableau Software
! Tableau builds software for data visualization, business
intelligence and analytics
! Their stated mission is to help people see and understand
data
! Its platform is designed for ease of use by both power and
casual users
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8. Ellie Fields
Ellie Fields is the Director of
Product Marketing at Tableau
Software. She has spoken at
numerous industry events for
business intelligence as well as
for data journalism. Prior to
Tableau, Ellie worked at
Microsoft and in late-stage
venture capital. Ellie is a
graduate of Rice University and
the Stanford Graduate School of
Business.
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9. Connecting the Dots
Ellie Fields
Senior Director, Tableau Software
@eleanorpd

10. Then: Big data everywhere,
various data stores, data stuck and
no insight – billions of rows of data.

11. Now: Centralized view into data
across the organization.
Analytics to drive the site.

12. Then: Doctors, nurses, all staff
want to use data to improve
the quality of service.

13. Now: Self service reporting for
everyone. 800+ people using multiple
sources of data to answer questions.

14. The Problem: Volume of Data
Businesses are struggling to unlock exploding data

15. The Problem: Diverse Data
Businesses and their people are struggling to unlock diverse data

16. The Problem: Old School Software
Traditional technologies are complicated, inflexible and slow moving

17. What Happens in the Real World

19. Faster
Rapidly unlock data, even big data, and gain on-time insight

20. Flexible
Transform all types of data into self-service analytics

21. For Everyone
Ease of use leads to adoption across all departments and use cases

22. Customers
10,000 customers from every industry and geography

23. DEMO

24. Perceptions & Questions
Analyst:
Lyndsay Wise
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25. Big
Data
-­‐
Then
Etc….
Consolida6ng
and
managing
distributed
and
large
data
sets

26. Big
Data
Now
Data
Warehouse
OLAP
Dashboards
Reports
Added
Valu
Added
Value

27. Value
From
Big
Data

28. From
Management
To
Insight
• Managing
big
data
infrastructures
are
no
longer
enough
• Organiza6ons
require
a
way
to
get
value
out
of
their
data
• Evalua6ng
BI
on
its
merit
in
rela6on
to
big
data
management
is
becoming
a
must
have
for
many
businesses

29. Ques6ons
• Big
data
is
defined
a
variety
of
ways
in
the
industry
today
–
what
is
Tableau’s
sweet
spot
within
big
data
analy6cs?
Does
it
extend
beyond
diversity
and
volume?
• The
two
examples
you
used
focus
on
data
consolida6on
and
self-­‐service
access
for
hundreds
(if
not
thousands)
of
people.
How
are
other
companies
using
Tableau
to
address
their
big
data
challenges?

30. Ques6ons
• What
is
the
real
differen6ator/value
proposi6on
in
comparison
to
how
other
similar
vendors
address
big
data
challenges?
• When
would
a
company
not
want
to
use
Tableau
to
manage
their
big
data?
• How
does
Tableau
provide
faster
data
access
(slide
11
reference)?
Do
limita6ons
exist,
i.e.,
does
this
depend
on
the
plaZorm,
etc.?

31. Ques6ons
• What
limita6ons
exist
in
rela6on
to
data
volumes
or
added
complexi6es?
• What
trends
do
you
see
in
rela6ons
to
customer
use
and
the
transi6on
from
big
data
storage
to
big
data
analy6cs?
• For
organiza6ons
evalua6ng
Tableau
for
big
data
access,
what
do
they
need
to
know
or
prepare
in
advance
to
get
the
system
up
and
running?

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33. Upcoming Topics
This month: Big Data
February: Analytics
March: Open Source
April: Intelligence
www.insideanalysis.com
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34. Thank You
for Your
Attention
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