Deeper Questions: How Interactive Visualization Empowers Analysts

Grab some

coffee and

enjoy the

pre-show

banter before

the top of the

hour!

The Briefing Room

Deeper Questions: How Interactive Visualization Empowers Analysis

Twitter Tag: #briefr The Briefing Room

Welcome

Host: Eric Kavanagh

[email protected] @eric_kavanagh


  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


Topics

March: BI/ANALYTICS

April: BIG DATA

May: CLOUD

I 💚 ANALYTICS!


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.


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


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.

PRESENTED BY:

Ellie Fields Vice President, Tableau Software @eleanorpd

Analytics is the process of understanding.

Analytics is a process of understanding.

Analytics should feel like this.

But more often, it feels like this.

And that’s a problem.

Mihaly Csikszentmihalyi:

Flow, the secret to happiness

Let’s go back to flow:

Flow model

High

Low

Low Skill level High

Cha

lleng

e le

vel

Anxiety Arousal Flow

Apathy Boredom Relaxation

Worry Control

Let’s go back to flow:

Great products augment human intelligence.

High

Low

Low Skill level High

Cha

lleng

e le

vel

Anxiety Arousal Flow

Apathy Boredom Relaxation

Worry Control

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.

DEMO

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

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


Perceptions & Questions

Analyst: Phil Bowermaster

Thinking Like a Human

The story of analy5cs revised

The Story So Far…

•  Data Warehousing •  Business Intelligence •  Analy5cs

–  “Predic5ve” –  “Advanced”

•  Big Data

1980s – Late ‘90s



•  Big Data

Late ‘90s – Mid 2000s



•  Big Data

Mid 2000s – 2010



•  Big Data

2010 – Present



•  Big Data

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.

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?

Three Major Drivers

•  Accelera5on •  Datafica5on •  Humaniza5on

Accelera5on

•  Everything happens faster

•  Everything happens with fewer (apparent) steps – collapsibility

•  Everything goes away faster

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

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

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

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?



Upcoming Topics

www.insideanalysis.com

March: BI/ANALYTICS

April: BIG DATA

May: CLOUD


THANK YOU for your

ATTENTION!

Some images provided courtesy of Wikimedia Commons

Deeper Questions: How Interactive Visualization Empowers Analysts

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