The Briefing Room with Phil Bowermaster and Tableau Live Webcast March 17, 2015 Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=dba64d39fc997875c899cbf392b4d148 Today's business challenges require smart ideas and swift decision-making. Companies that want to remain competitive must empower their analysts with tools that can prepare data quickly, then enable iterative, visual interactions that move at the pace of business. For deeper questions to be answered effectively, users need a solution that allows them fluid access to a variety of data sets and a wide range of visual tools for understanding what it all means. Register for this episode of The Briefing Room to learn from Analyst Phil Bowermaster, as he explains how data visualization can reveal valuable business insights. He'll be briefed by Ellie Fields of Tableau, who will showcase her company's 9.0 release. She'll demonstrate a number of key features, including improvements in data preparation and improved geospatial functionality. She'll also talk about the importance of flow: the ability to answer questions at interactive speed. Visit InsideAnalysis.com for more information.

1. Grab some
coffee and
enjoy the
pre-show
banter before
the top of the
hour!

2. The Briefing Room
Deeper Questions: How Interactive Visualization Empowers Analysis

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Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh

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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!
Mission

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Topics
March: BI/ANALYTICS
April: BIG DATA
May: CLOUD

6. I 💚
ANALYTICS!

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Analyst: Phil Bowermaster
With more than 25 years experience analyzing and writing about
emerging technologies, Phil Bowermaster is the founder and publisher
of Speculist Media and a co-founder of the World Transformed
Institute. As an industry analyst, he focuses on the convergence of
information and society as reflected in current developments around
Big Data and the Internet of Things. Phil is also co-host of the popular
Internet radio series The World Transformed, where he has
interviewed some of the world’s leading technologists, futurists,
scientists, and other thought leaders.

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Tableau
Tableau builds software for data visualization, business
intelligence and analytics
Its products include Tableau Desktop, Tableau Public,
Tableau Online and Tableau Drive
Tableau 9 includes added performance features and more
data connections

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Guest: Ellie Fields
Ellie is the Vice President of Product Marketing at
Tableau, responsible for new product launches,
Tableau Public and Tableau's community. Her data
geek credentials come from time served in
technology and finance companies. She works with
people from all over the world who are trying to
tell stories with data, from journalists to hospitals
to high tech companies. She’s seen a lot of ugly
data, beautiful data, and downright mean data.
She’s a passionate believer that data used well can
inform, excite and create value. Prior to Tableau,
Ellie worked at Microsoft and in late-stage venture
capital. She has an engineering degree from Rice
University and an M.B.A. from The Stanford
Graduate School of Business.

10. PRESENTED BY:
Ellie Fields
Vice President,Tableau Software
@eleanorpd

11. Analytics is the process of understanding.
Analytics is a process of understanding.

12. Analytics should feel like this.

13. But more often, it feels like this.

14. And that’s a problem.

15. Mihaly Csikszentmihalyi:
Flow, the secret
to happiness

16. Let’s go back to flow:
Flow
model
High
Low
Low Skill level High
Challengelevel
Anxiety Arousal Flow
Apathy Boredom Relaxation
Worry Control

17. Let’s go back to flow:
Great
products
augment
human
intelligence.
High
Low
Low Skill level High
Challengelevel
Anxiety Arousal Flow
Apathy Boredom Relaxation
Worry Control

18. Tableau 9: Smart Meets Fast
Auto Data Prep Analytics in the
Flow
Smart Maps New Tableau
Server & Online
Smarter features across the analytical workflow
With faster performance throughout.

19. DEMO

20. Tableau 9: Performance Improvements
Query
Improvements
Data Engine
Improvements
Server
Improvements
Parallel Query Vectorization
Rendering
Performance
Saved Query
Cache
Parallel
Aggregation
Temp Table
Support in the
Data Server
Query Fusion

21. And more…new data connections
Connection to
Stats Files
Improvements to
Big Data Support
Improvements to
existing connectors
SAS Spark SQL Salesforce.com
SPSS Amazon EMR
SSL Encryption for
mySQL, SQL Server,
Postgres
R IBM Big Insights

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Perceptions & Questions
Analyst:
Phil Bowermaster

24. Thinking
Like
a
Human
The
story
of
analy5cs
revised

25. The
Story
So
Far…
• Data
Warehousing
• Business
Intelligence
• Analy5cs
– “Predic5ve”
– “Advanced”
• Big
Data

26. 1980s
–
Late
‘90s
• Data
Warehousing
• Business
Intelligence
• Analy5cs
– “Predic5ve”
– “Advanced”
• Big
Data

27. Late
‘90s
–
Mid
2000s
• Data
Warehousing
• Business
Intelligence
• Analy5cs
– “Predic5ve”
– “Advanced”
• Big
Data

28. Mid
2000s
–
2010
• Data
Warehousing
• Business
Intelligence
• Analy5cs
– “Predic5ve”
– “Advanced”
• Big
Data

29. 2010
–
Present
• Data
Warehousing
• Business
Intelligence
• Analy5cs
– “Predic5ve”
– “Advanced”
• Big
Data

30. PuLng
the
Story
in
Context
• Technologies
– SQL,
RDBMS,
ETL,
ELT,
OLAP,
Data
Mart,
EDW,
Federa5on,
Replica5on,
SMP,
MPP,
Cloud,
HDFS,
NoSQL,
etc.
• Business
Prac5ces
• Major
drivers
in
business,
society,
and
the
world.

31. One
Problem
with
that
Story…
• It’s
(arguably)
upside
down
•
Run
it
backward:
– Technology
driven
by
evolving
business
– Business
driven
by
external
drivers
• So
what
are
these
drivers?

32. Three
Major
Drivers
• Accelera5on
• Datafica5on
• Humaniza5on

33. Accelera5on
• Everything
happens
faster
• Everything
happens
with
fewer
(apparent)
steps
–
collapsibility
• Everything
goes
away
faster

34. Datafica5on
• Data
ubiquity
– Transi5on
from
a
world
that’s
80-­‐20
stuff
to
data
to
80-­‐20
data
to
stuff
• Shiding
Value
Proposi5on
– Rela5ve
Footprint
– Reach
– Impact
• Business
world
leads
the
charge

35. Humaniza5on
• In
conven5onal
terms
–
“democra5za5on
of
data”
• Bigger
than
that
• Not
just
handing
off
data
to
more
people
• Bringing
data
and
analysis
into
the
human
sphere
– Thinking
like
humans

36. Put
Them
All
Together
Implementa5on,
Response,
Itera5on
all
must
be
faster.
(V
=
Velocity)
Massive
Datasets.
Mul5ple
Data
Types.
(V
=
Volume
V
=
Variety)
Analysis
in
the
Hands
of…Everybody
(V
=
Value)
Big
Data
Analy5cs
/
Modern
Analy5cs

37. Ques5ons
• Performance:
server,
data
engine,
and
query
op5miza5ons
–
what
is
the
rela5ve
impact
of
each?
• Flow
–
where
the
idea
works
best
vs.
points
of
resistance?
• Augmen5ng
intelligence
or
“dumbing
down?”
– Related:
Is
there
a
speed
/
intelligence
/
ubiquity
tradeoff?

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Upcoming Topics
www.insideanalysis.com
March: BI/ANALYTICS
April: BIG DATA
May: CLOUD

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THANK YOU
for your
ATTENTION!
Some images provided courtesy of
Wikimedia Commons