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
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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!
Mission
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Topics
February: DATA IN MOTION
March: BI/ANALYTICS
April: BIG DATA
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Parmenides and the Truth of Now
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Analyst: Robin Bloor
Robin Bloor is Chief Analyst at The Bloor Group
[email protected] @robinbloor
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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
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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 UserExperience 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
UserAcceptance Test
Subject MatterExpertise
(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. With Tableau 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
Execution Enablement
Discovery Prototyping Foundationbuilding
Scaling out
Drive is a new approach ���to deployment
Foundationbuilding
Foundation: organizational
• Center of Operations• Center of Evangelism• Executive sponsorship• Project plan• Training • New user onboarding process• Evangelism activities
Foundationbuilding
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 analyticsright away
Proven deploymentstrategies
Broad &sustainableadoption
Key benefits of Drive
The road forward
Visit our web site for more informationwww.tableau.com/drive
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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
UserTesting
Deployment
Review
Cost MultipleFor Correcting
Errors
2-3
2-3
2-3
2-3
2-3
2-3
CumulativeMultiple
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
IntegrationTesting
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
BusinessProcessDesign
Exploration& Discovery
Prototyping
Deployment
IntegrationTesting
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?
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Upcoming Topics
www.insideanalysis.com
February: DATA IN MOTION
March: BI/ANALYTICS
April: BIG DATA
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THANK YOU for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons and Wikipedia
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