big data analytics: gleaning insights with data discovery

Tuesday, April 24, 12

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Twitter Tag: #briefrTuesday, April 24, 12

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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!

Twitter Tag: #briefr


April: Discovery

May: Analytics

June: Intelligence

July: Governance

August: Analytics




BI and Analytics appears to be changing rapidly. This may partly be because traditional BI technology (reporting, dashboards, OLAP) is now well entrenched and serving its purpose.

Big data and data integration technologies have conspired together to provide new aggregations and sources of data to explore.

Open source technologies, (Hadoop. Hive, Hbase, Pig etc.) in conjunction with the cloud have considerably reduced the price of leveraging new and, often very substantial data sources.

On the desktop, BI users now have data discovery capabilities that they once only dreamed of.



Robin Bloor is Chief Analyst at The Bloor Group.

[email protected]


Tableau builds software for data visualization and

rapid-fire business intelligence. The mission: help

people see and understand data.

Tableau delivers excellent visualization and offers a

wide variety of data representation possibilities.

It is a BI platform that fits both power users and

normal BI users and now, with Tableau 6.1 it is

enabled for iPad use.

No extra effort is required to deliver Tableau reports

to the iPad



Ellie Fields is the Director of

Product Marketing at Tableau

Software. She is responsible for

developing market requirements,

performing customer research

and managing product launches.

She has spoken at numerous

industry events for business

intelligence as well as for data

journalism.Prior to Tableau, Ellie

worked at Microsoft and as an

associate in late-stage venture

capital. Ellie holds B.S. and B.A.

degrees from Rice University and

an MBA from the Stanford

Graduate School of Business.



All#rights#reserved.#©#2008#Tableau#So8ware#Inc.#

Data Discovery

Ellie%Fields%Senior%Director,%Tableau%So5ware%

Twi7er:%eleanorpd%

Agenda What is Data Discovery?

3 Things You Need for Data Discovery

Demo

What is Data Discovery?

No Yes

•  Regular dashboards •  Established metrics •  “Specialist” approach

•  Cycle of analysis •  Many unknowns •  Self-service

Data Discovery Involves...

Disparate Data

Big(gish) Data New Data

…otherwise it wouldn’t be necessary

Disparate Data

Cubes

Files

Data Warehouse

Data Marts

The organization that has all its data in one place does not exist.

Files

New Data New behaviors Our customers are changing what they buy online.

New goals We’re expanding into new markets.

New competition New technology and new entrants are changing our markets.

Big Data … and getting bigger every day.

Product managers routinely work with “tens of millions to a few hundred millions of rows”

“Four billion impressions of ad serving data come into our database every day. We have the largest multi-dimensional database in the world that Tableau’s running on.”

3 Things You Need for Data Discovery

1 The freedom to choose

2 Data blending

3 Self-service, rapid iterative approach

The Freedom to Choose

Tableau’s Data Engine

•  In-memory solution in 1 click •  Removes load from production databases •  Refresh anytime or schedule updates •  Incremental refresh •  Switch to live connect as needed

Data Blending

Self-Service with Rapid Iterations

click click

“The voyage of discovery is not in

seeking new landscapes, but in

having new eyes.”

Marcel Proust

In BI, I prefer the idea of both new

landscapes and new eyes


The Impact

BI processes can be:

More convenient

Be applied to new areas

Accelerated

Change in their nature

Lead to unanticipated results:

(Discovery begets discovery)




Questions

Using Tableau, how much data can an individual manage within a personal database

What are Tableau’s capabilities in the following areas:

Standard BI (reporting, dashboards, etc.)

OLAP

Analytics

Discovery

What are Tableau’s dependencies in respect of data service? (i.e. what is necessary? what is desirable?)

Are there any specific technology partnerships that Tableau has? If so, then with whom and what’s the pay-off?



Questions

Is Tableau complementary to or a replacement for spreadsheet BI?

How (in Tableau’s experience) does the expansion of the global data space alter what users do with their capability?

How (in Tableau’s experience) do improved speeds of iteration affect the analytical process?

Is there a developing community of “Power Users” of Tableau?

Who have been the early adopters of this kind of capability and what kind of business problems are they trying to solve?

Which vertical business sectors have shown most interest and which have shown least interest?



May: Analytics

• June: Intelligence

• July: Governance

• August: Analytics


big data analytics: gleaning insights with data discovery

Technology

big data

data journalism

data discoverycapabilities

data discoverydemo

data integration technologies

data visualization andrapid

sources of data toexplore

tableau software