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The Briefing Room
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The Briefing Room
! 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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The Briefing Room
APRIL: Intelligence
May: INTEGRATION
June: DATABASE
July: CLOUD
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The Briefing Room
Processing Monitoring
Intelligence
“Tis the good reader that makes a good book” Ralph Waldo Emerson
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The Briefing Room
Analyst: Robin Bloor
Robin Bloor is Chief Analyst at The Bloor Group
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The Briefing Room
! Tableau develops 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 power users and casual users alike
Tableau Software
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The Briefing Room
Suzanne Hoffman
Suzanne Hoffman is Senior Director of Analyst Relations for Tableau Software. Suzanne has more than 20 years of sales and management experience working for companies such as SPSS, Metaphor and Cognos (all acquired by IBM) and Arbor Software, Hyperion Solutions and HyperRoll (all acquired by Oracle). She’s active in Women in Technology International (WITI - GEN), a member of the Association for Strategic Alliance Professionals (ASAP), Sales and Marketing Executives Int’l (SMEI), The Executives’ Club of Chicago and many other industry boards. She is an active conference speaker, trainer and author.
The Cycle of Visual Analysis
The Big Data Obstacle
Any Data, - Live
• Salesforce.com • Google
Analytics • Google
BigQuery • Hadoop • Cloudera
Impala • DataStax
Enterprise (Cassandra)
• Hortonworks • Hadapt • MapR • Analytic
Appliances • Extract API
Fast
• New Viz Engine yields fast graphics and calculations
• Parallelized dashboards
• Faster quick filters
• Improved Data Engine performance
• Performance recorder
Web & Mobile Authoring
SQL Connector
MDX Connector
Data Engine
VizQL Compiler
User Interface
Data Marts Data
Warehouse Files Cubes
+ When the source DB query performance is slow
+ To offload iterative query workload from the source DB
+ To work offline from the network + To keep an archive of the data
Use this option:
Tableau Native Query Technology
+ Interactive queries to the database
+ Leverages IT policies for security
+ Avoids data silos + Ensures fresh data results + Values the EDW strategy
Tableau Data Engine Technology
+ In-memory + Column store + Highly compressed + Optimized API specific for
Tableau + 64-bit (32-bit version as well)
Tableau Architecture: Where’s the data?
What it Means
TOTAL ACCESS TO DATA
VISUAL ANALYTICS EVERYWHERE
ANALYTICS FOR EVERYONE
Customers 11,000 customers from every industry and geography
Thank You!
www.TableauSoftware.com www.tableausoftware.com/ learn/webinars www.tableausoftware.com/ products/trial
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The Briefing Room
Analyst: Robin Bloor
Perceptions & Questions
DATA VISUALIZATION AND THE ART OF
SELF-RELIANCE
“The voyage of DISCOVERY is not in seeking new
landscapes, but in having NEW EYES.” ~Marcel Proust
Open Source, The Cloud and BI
The introduction of self-service in retail prompted a revolution
The Bloor Group
Effort was outsourced to the customer
It cut costs for the retailer
The customers did not mind at all
The customers concluded that they were receiving a better service
Since then the idea has been repeated many times
BI Categories
Self-service BI makes obvious sense, but it isn’t simple
The Bloor Group
• Regular reporting/operational BI HINDSIGHT
• Dashboards, OLAP, BPM, etc. OVERSIGHT
• Data mining, statistical analysis (trends and relationships) INSIGHT
• Predictive analytics FORESIGHT
New “Eyes”
The Bloor Group
Self-Service & Productivity
The level of self-service and its usefulness is not a simple thing. In the best of circumstances the user probably cannot self-design
the way their whole job works.
The Bloor Group
Self-Service Issues
The Bloor Group
• Governance & approval
• Data self-service • Actual efficiency
Governance & Approval
Data Self-Service
Actual Efficiency
! How great a spectrum of BI activities does the Tableau capability cover?
! How easy is it for users to learn to exploit? What is the learning curve? What does it involve?
! Is there any aspect of BI that you don’t or won’t cater for?
! How is the effectiveness of these capabilities monitored?
! Data Self-Service:
! Governance?
! Performance?
! Hadoop and Cloud?
! What functionality constraints, if any, can be placed on the user?
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The Briefing Room
Twitter Tag: #briefr
The Briefing Room
April: INTELLIGENCE
May: INTEGRATION
June: DATABASE
Upcoming Topics
www.insideanalysis.com
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The Briefing Room
Thank You for Your
Attention
