building a tableau center of excellence · a tableau center of excellence is a group of resources...
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Tableau Center of Excellence (COE)
COE Overview
COE Competencies (“Events”)
Project Plan for COE Implementation
What is a COE?
A Tableau Center of Excellence is a group of resources created to coordinate knowledge, processes, and best practices for the successful deployment and usage of Tableau technologies throughout the enterprise.
Why a COE?
To institutionalize
tableau best practices
in the organization
To empower user
with access to
analytical capabilities
To allow users to
create meaningful
analytics
To make better
business decisions
Running a COE is Like…
1) Herding Cats?
2) Spinning plates?
3) Preparing Thanksgiving dinner?
4) Doing all at the same time?
The Modern Pentathlon?!
COE “Pentathlon”
Build Data and
Governance
Structures
Enable Self
Service/
Onboarding
Build Stable
Infrastructure
Change CultureBuild Useful
Analytics
Event #1—Build Stable Infrastructure
1) Tableau Server Infrastructure
2) System Operations
3) Portal/Other Systems integration (optional)
Build Stable
Infrastructure
Build Data and
Governance
Structures
Event #2—Data and Governance Structures
1) Data Source Planning
2) Security Requirements
3) Content Management Processes
4) Site/Project/User Organization
Change Culture
Event #4—Change Culture
1) Focus on Business Questions
2) Agile Analytics Development
3) Data Driven Organization
4) Visual Analytics Focus
Enable Self
Service/
Onboarding
Event #5—Enable Self Service
1) Enable Self Starters
2) Training
3) Providing easy to use Data Sources
4) Promote through Community
Attributes of a Successful COE—Balanced
Information Technology
Security
Data architecture & quality
Infrastructure
Scalability roadmap
Usage monitoring
Governance
Business
Creative analytic work
User training
Data acquisition
Knowledge sharing
Content publishing
Evangelism
Tableau Center of Excellence
Build Data and
Governance
Structures
Build Stable
Infrastructure
Enable Self
Service/
Onboarding
Change
CultureBuild Useful
Analytics
Discover
1. Via Tableau personnel, interviews, support logs, and questionnaires, understand the current state of users/analytics and desired future state.
2. Identify the key gaps.
3. Identify who is involved. Scope. What areas? How many people? What skills?
4. Success criteria. Interview teams and management to decide where to focus.
5. Think in terms of prioritization based on initial results and organization needs.
6. Build Discovery around identifying areas that are (1) critical and (2) lacking.
Discover
Build Plan
1) Plan the work that needs to be completed.
2) This is primarily a prioritization exercise. What is the most important things the COE must do first?
3) Schedule formal classes as needed (lead time).
4) Create a working “mission statement” for the COE.
Plan
Presentation of Plan
Present the COE goal statement and what we are trying to accomplish:
Discuss purpose/importance of building a COE
Review results of interviews and analysis
Provide plan and recommendations
Interactive discussion of proposed focus
Audience: key stakeholders
Present
Implementation
Build Data and
Governance
Structures
Enable Self
Service/
Onboarding
Build Stable
Infrastructure
Change
Culture
Build Useful
Analytics
Each “Sprint”
1) Prioritize areas
2) Complete prioritized tasks
3) Not all areas will be in each sprint
Implement
Example: Maturity/Growth
Enablement Scale
Infrastructure Install and configure server (basic)Integration into overall IT
architectureSLA driven architecture.
Setup basic processes.
Backup/restore, publishing, etc.
Build proactive management
capabilities such as performance
monitoring and content archival
Automate most server-based tasks such as
backup/restore, adding users/groups, publishing,
etc.
Data and GovernanceCreate initial high value data sets
(ad hoc)
Publish curated, approved data
sources to Tableau Server
Managed data fully loaded, tracked, updated,
with significant metadata available
Create security hierarchy and initial
users/groups
Publish security processes,
automate functions (add users and
groups)
Fully integrate security and compliance in
Tableau into corporate processes.
Build Useful AnalyticsTrain users in visual analytics;
create high quality dashboards
Templates, style sheets, enhanced
visualization training
Complete self service to support ad-hoc
business-led requirements.
CultureEstablish organizational framework
for community programs
Launch COE and establish core
programs (office hours, lunch/learn)
Allow COE to be enabler of self-service
throughout the organization.
Enable Self ServiceCreate foundation for data driven
organization
Enable users with ability to use
visuals to make business decisionsFully capture ROI associated with data initiatives
Implement
Phases
Are
as
Text in each box represents sample activities (non-exhaustive list).
Refinement
Determine measures for each area. Record the before and after and report on progress (using Tableau!!!)
Refine
Sample Measures
Build Stable
Infrastructure
• Architecture: % available, uptime, timeliness of upgrades
• System Operations: Average visual response time, # of hits per day, data sources updated daily/weekly
Build Data and
Governance
Structures
• Data Management: % of dashboards using certified data sources; % of dashboards coming from approved source systems (e.g. not Excel)
• Security and Governance: Maturity of publishing process
Build Useful
Analytics
• Best Practices: % of visuals using templates and/or best practices. Number of “reworked” dashboards (old to new)
Change
Culture
• Community: active user groups within the organization, participation in external user groups
• Culture of Analytics; % focused on visual analysis vs. grids
Enable Self
Service/
Onboarding
• Education: Number or % of trained users. LMS progress measurements
Refine