Big Data Analytics: Gleaning Insights with Data Discovery
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Transcript of Big Data Analytics: Gleaning Insights with Data Discovery
Twitter Tag: #briefrTuesday, April 24, 12
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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Tuesday, April 24, 12
April: Discovery
May: Analytics
June: Intelligence
July: Governance
August: Analytics
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Tuesday, April 24, 12
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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.
Tuesday, April 24, 12
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Robin Bloor is Chief Analyst at The Bloor Group.
Tuesday, April 24, 12
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
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Tuesday, April 24, 12
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.
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Tuesday, April 24, 12
All#rights#reserved.#©#2008#Tableau#So8ware#Inc.#
Data Discovery
Ellie%Fields%Senior%Director,%Tableau%So5ware%
Twi7er:%eleanorpd%
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.”
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
“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
Tuesday, April 24, 12
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)
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Tuesday, April 24, 12
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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?
Tuesday, April 24, 12
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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?
Tuesday, April 24, 12
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May: Analytics
• June: Intelligence
• July: Governance
• August: Analytics
Tuesday, April 24, 12