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Grab some
coffee and
enjoy the
pre-show
banter before
the top of the
hour!
The Briefing Room
Drive It Home: A Roadmap for Today's Data-Driven Culture
Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh
Twitter Tag: #briefr 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
Twitter Tag: #briefr The Briefing Room
Topics
February: DATA IN MOTION
March: BI/ANALYTICS
April: BIG DATA
Twitter Tag: #briefr The Briefing Room
Parmenides and the Truth of Now
Twitter Tag: #briefr The Briefing Room
Analyst: Robin Bloor
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
@robinbloor
Twitter Tag: #briefr The Briefing Room
Tableau
  Tableau builds software for data visualization, business
intelligence and analytics
  Its products include Tableau Desktop, Tableau Public,
Tableau Online and Tableau Drive
  Tableau Drive is a methodology designed to create an
analytic culture throughout an organization
Twitter Tag: #briefr The Briefing Room
Guest: Ted Wasserman
Ted Wasserman is Senior Product Manager at Tableau
Software. Ted leads Tableau's data strategy and execution.
This includes product planning, setting the strategic vision,
and leading the execution of new features and integration
with technology vendors. Prior to joining Tableau, Ted
worked at IBM for seven years in the Information
Management division in a number of different roles
including technical consulting, channel marketing, and
business development. Ted holds a bachelor's degree and
master's degree in computer science from Queen's
University.
A practical roadmap for 
scaling your analytic culture
The benefits of self-service analytics 
are clear
Business IT
Requirements Planning Development Test
User
Experience
Production Analytics
The traditional model fails business
users and IT
Users must wait… and are rarely satisfied.
The Agile model improves waterfall
Production Development
Planning
User
Acceptance
Test
Subject Matter
Expertise
(requirements)
Keeping business 
closer to development
improves quality, 
speed and flexibility.
How do you provide the programmatic
support needed to scale self-service
analytics?
What is Drive?
Tableau Drive is a business intelligence
deployment methodology that draws from agile
methods and is informed by the most analytically-
minded companies in the world.WithTableau
Drive, business and IT jointly own the analytics
platform.And there is the opportunity to
continuously evolve and grow, even at the scale
of an enterprise deployment.
IT Role
•  Security
•  Data architecture
•  Scalability
•  Training
•  Center of Operations
•  Enablement intranet
A partnership that works
Business Role
•  Creative analytic work
•  Driving data acquisition
•  Sharing expertise
•  Seeking help when needed
•  Evangelism
•  Catalyzing action
ExecutionEnablement
Discovery Prototyping
Foundation
building
Scaling out
Drive is a new approach 
to deployment
Foundation
building
Foundation: organizational
•  Center of Operations
•  Center of Evangelism
•  Executive sponsorship
•  Project plan
•  Training
•  New user onboarding process
•  Evangelism activities
Foundation
building
Foundation: technical
•  Sandbox and production environments
•  Governance  security policies
•  Data dictionary
•  Clean, managed  published data sources
•  Processes: promotion, escalation, licensing
•  Online help desk
Blueprint for
an IT-business
partnership
Useful analytics
right away
Proven
deployment
strategies
Broad 
sustainable
adoption
Key benefits of Drive
The road forward
Visit our web site for more
information
www.tableau.com/drive
Twitter Tag: #briefr The Briefing Room
Perceptions  Questions
Analyst:
Robin Bloor
To Be
Agile
Robin Bloor, PhD
Time To Value
Throughout every generation of IT,
time-to-value has been a priority
The Old Waterfall
u  Feasibility
u  Requirements
u  Design
u  Development
u  Testing
u  User testing
u  Production
u  Review
In the beginning it was the only
method for organizing projects.
And there were problems…
Requirements
Feasibility
Design
Development
Testing
User
Testing
Deployment
Review
Cost Multiple
For Correcting
Errors
2-3
2-3
2-3
2-3
2-3
2-3
Cumulative
Multiple
4-9
2-3
8-27
16-81
32-243
64-729
A Fundamental Error
u  The engineering project
flow…
u  IT never included the
prototyping stage
u  This was never realized
until the early 1990s when
RAD tools emerged
u  It includes a feedback loop
u  This was the birth of the
“Agile Development”
movement
2-3
4-9 or 2-3
Planning 
Requirements
Design
Prototyping
Deployment
Integration
Testing
The Fundamental Mismatch
§  Knows the technology
capabilities
§  Has poor knowledge of
the real business
process
§  Does not know for sure
what the business
process will become
§  Knows the business
process
§  Has poor knowledge of
the technology
capabilities
§  Does not know for sure
what the business
process will become
The Developer The End User
This mismatch will never be truly resolved until the
developer and the end-user are the same person
For BI/Analytics…
u  The major difference: The
development tools are
business oriented
u  Instead of design we have
exploration  discovery
u  Prototyping and iteration
are still key
u  Deployment may require
technicians
u  This has a right to claim
agility
Business
Process
Design
Exploration
 Discovery
Prototyping
Deployment
Integration
Testing
The Self Service Trend
The self-service trend in Analytics
and BI is an effort to resolve the
fundamental mismatch
u  How often do you encounter “old
methodologies?” How often are they a barrier to
progress?
u  Drive seems to require executive sponsorship.
Does that mean you have to sell directly to
executives?
u  How onerous is the technical side of Foundation?
u  How much help do businesses/IT need to build
and deploy Foundation?
u  Are we short of skilled staff for BI and Analytics
(clearly, the evidence suggests we are currently
short of data scientists…)?
u  Do we want business analysts to become ersatz
data scientists?
Twitter Tag: #briefr The Briefing Room
Twitter Tag: #briefr The Briefing Room
Upcoming Topics
www.insideanalysis.com
February: DATA IN MOTION
March: BI/ANALYTICS
April: BIG DATA
Twitter Tag: #briefr The Briefing Room
THANK YOU
for your
ATTENTION!
Some images provided courtesy of
Wikimedia Commons and Wikipedia

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Drive It Home: A Roadmap for Today's Data-Driven Culture

  • 1. Grab some coffee and enjoy the pre-show banter before the top of the hour!
  • 2. The Briefing Room Drive It Home: A Roadmap for Today's Data-Driven Culture
  • 3. Twitter Tag: #briefr The Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com @eric_kavanagh
  • 4. Twitter Tag: #briefr 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
  • 5. Twitter Tag: #briefr The Briefing Room Topics February: DATA IN MOTION March: BI/ANALYTICS April: BIG DATA
  • 6. Twitter Tag: #briefr The Briefing Room Parmenides and the Truth of Now
  • 7. Twitter Tag: #briefr The Briefing Room Analyst: Robin Bloor Robin Bloor is Chief Analyst at The Bloor Group robin.bloor@bloorgroup.com @robinbloor
  • 8. Twitter Tag: #briefr The Briefing Room Tableau   Tableau builds software for data visualization, business intelligence and analytics   Its products include Tableau Desktop, Tableau Public, Tableau Online and Tableau Drive   Tableau Drive is a methodology designed to create an analytic culture throughout an organization
  • 9. Twitter Tag: #briefr The Briefing Room Guest: Ted Wasserman Ted Wasserman is Senior Product Manager at Tableau Software. Ted leads Tableau's data strategy and execution. This includes product planning, setting the strategic vision, and leading the execution of new features and integration with technology vendors. Prior to joining Tableau, Ted worked at IBM for seven years in the Information Management division in a number of different roles including technical consulting, channel marketing, and business development. Ted holds a bachelor's degree and master's degree in computer science from Queen's University.
  • 10. A practical roadmap for scaling your analytic culture
  • 11. The benefits of self-service analytics are clear
  • 12. Business IT Requirements Planning Development Test User Experience Production Analytics The traditional model fails business users and IT Users must wait… and are rarely satisfied.
  • 13. The Agile model improves waterfall Production Development Planning User Acceptance Test Subject Matter Expertise (requirements) Keeping business closer to development improves quality, speed and flexibility.
  • 14. How do you provide the programmatic support needed to scale self-service analytics?
  • 15. What is Drive? Tableau Drive is a business intelligence deployment methodology that draws from agile methods and is informed by the most analytically- minded companies in the world.WithTableau Drive, business and IT jointly own the analytics platform.And there is the opportunity to continuously evolve and grow, even at the scale of an enterprise deployment.
  • 16. IT Role •  Security •  Data architecture •  Scalability •  Training •  Center of Operations •  Enablement intranet A partnership that works Business Role •  Creative analytic work •  Driving data acquisition •  Sharing expertise •  Seeking help when needed •  Evangelism •  Catalyzing action ExecutionEnablement
  • 18. Foundation building Foundation: organizational •  Center of Operations •  Center of Evangelism •  Executive sponsorship •  Project plan •  Training •  New user onboarding process •  Evangelism activities
  • 19. Foundation building Foundation: technical •  Sandbox and production environments •  Governance security policies •  Data dictionary •  Clean, managed published data sources •  Processes: promotion, escalation, licensing •  Online help desk
  • 20. Blueprint for an IT-business partnership Useful analytics right away Proven deployment strategies Broad sustainable adoption Key benefits of Drive
  • 21. The road forward Visit our web site for more information www.tableau.com/drive
  • 22. Twitter Tag: #briefr The Briefing Room Perceptions Questions Analyst: Robin Bloor
  • 24. Time To Value Throughout every generation of IT, time-to-value has been a priority
  • 25. The Old Waterfall u  Feasibility u  Requirements u  Design u  Development u  Testing u  User testing u  Production u  Review In the beginning it was the only method for organizing projects. And there were problems… Requirements Feasibility Design Development Testing User Testing Deployment Review Cost Multiple For Correcting Errors 2-3 2-3 2-3 2-3 2-3 2-3 Cumulative Multiple 4-9 2-3 8-27 16-81 32-243 64-729
  • 26. A Fundamental Error u  The engineering project flow… u  IT never included the prototyping stage u  This was never realized until the early 1990s when RAD tools emerged u  It includes a feedback loop u  This was the birth of the “Agile Development” movement 2-3 4-9 or 2-3 Planning Requirements Design Prototyping Deployment Integration Testing
  • 27. The Fundamental Mismatch §  Knows the technology capabilities §  Has poor knowledge of the real business process §  Does not know for sure what the business process will become §  Knows the business process §  Has poor knowledge of the technology capabilities §  Does not know for sure what the business process will become The Developer The End User This mismatch will never be truly resolved until the developer and the end-user are the same person
  • 28. For BI/Analytics… u  The major difference: The development tools are business oriented u  Instead of design we have exploration discovery u  Prototyping and iteration are still key u  Deployment may require technicians u  This has a right to claim agility Business Process Design Exploration Discovery Prototyping Deployment Integration Testing
  • 29. The Self Service Trend The self-service trend in Analytics and BI is an effort to resolve the fundamental mismatch
  • 30. u  How often do you encounter “old methodologies?” How often are they a barrier to progress? u  Drive seems to require executive sponsorship. Does that mean you have to sell directly to executives? u  How onerous is the technical side of Foundation?
  • 31. u  How much help do businesses/IT need to build and deploy Foundation? u  Are we short of skilled staff for BI and Analytics (clearly, the evidence suggests we are currently short of data scientists…)? u  Do we want business analysts to become ersatz data scientists?
  • 32. Twitter Tag: #briefr The Briefing Room
  • 33. Twitter Tag: #briefr The Briefing Room Upcoming Topics www.insideanalysis.com February: DATA IN MOTION March: BI/ANALYTICS April: BIG DATA
  • 34. Twitter Tag: #briefr The Briefing Room THANK YOU for your ATTENTION! Some images provided courtesy of Wikimedia Commons and Wikipedia