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In this episode of unDUBBED, Fiona and Sarah break down what actually makes a workshop work – and why most sessions fail before they even start. They argue that a great workshop is an outcome, not an event: it should produce real progress, shared clarity, and momentum that carries into action. The key is being explicit about purpose and value, designing for participation (not passive attendance), and resisting the temptation to cram too much into a vague agenda. They also share why “structure with flexibility” is the facilitation sweet spot, and how discovery, pre-work, and smart questionnaires can dramatically lift alignment and engagement before the day.
The conversation also covers practical facilitation techniques to ensure many voices are heard, plus the realities of running virtual workshops where inclusion, clear norms, and deliberate interaction matter more than the tools themselves. Finally, they unpack how to handle resistance through preparation and in-room strategies, how to define and measure workshop success beyond vibes, and when a workshop series can outperform a single session for learning, energy, and outcomes.
1. A great workshop is an outcome, not an event
A workshop is only “great” if it produces movement: meaningful progress, high engagement, and those shared moments of clarity that carry into real action afterwards.
2. Make the purpose and payoff obvious
Workshops cost serious time and money. If people can’t clearly articulate the problem, the value, and what “done” looks like, the session turns into theatre instead of work.
3. Design for participation, not attendance
Invite contributors, not spectators. Set the expectation that everyone shows up present and involved – no silent observers, no laptop hiding, no multitasking.
4. The biggest planning fail: too much, too vague
Most workshops fall over for two reasons: the agenda is overloaded, and the core problem isn’t defined crisply. That combination destroys pre-comms, dilutes focus, and kills engagement.
5. Use structure, but stay adaptable
Bring a strong plan, then be willing to flex. The agenda should guide the room, not trap it – if the real value emerges somewhere unexpected, follow it.
6. Discovery and pre-work change everything
The quality of the day is largely decided before anyone enters the room. Validate the problem with stakeholders, understand constraints, and design for the realities of the group and the context (virtual/in-person/hybrid, culture, time, attention).
7. Do a proper walkthrough – physical or virtual
Check the environment ahead of time. In-person: layout, walls, screens, movement. Virtual: tools, links, permissions, and flow. Preparation removes friction and protects momentum.
8. Questionnaires are leverage (when they’re smart)
Good pre-work questions reduce guesswork, reveal alignment gaps early, and give you language to play back to the group. A light gamified approach can boost completion and buy-in.
Two high-value prompts:
9. Tools don’t make workshops – inclusion does
The tool is never the point. Design for comfort and contribution. In-person, tactile materials create energy and movement. Virtual, ensure people can use the platform quickly and confidently, and build interaction into the design.
Also: set virtual norms early (cameras, presence, participation) and use engagement mechanics like polls and Q&A to keep momentum.
10. Facilitation is “many voices by design”
Great facilitation is intentional distribution of airtime. Draw out quieter voices safely, manage dominant contributors, and design for balanced input.
Practical moves:
11. Address resistance before the session, then manage it in the room
The best time to reduce resistance is upstream – with leader alignment, clarity of “why,” and proper change prep. In the workshop, use connection-building openers and name the reality of change, then invite ownership rather than compliance.
12. Define success and close the loop
Success isn’t “good vibes.” It’s whether you got what you needed: decisions, direction, actions, or clarity that something shouldn’t proceed. Add feedback, next steps, owners, timeframes, and measurable follow-through.
13. Sometimes a series beats a single hit
Multiple shorter sessions can outperform one long day when calendars are tight, energy will fade, or you need to adapt based on what emerges in session one. Just be cautious in political or toxic environments where between-session reshaping can undermine trust and outcomes.
00:00 Introduction to Workshop Excellence
07:10 Setting Expectations and Purpose
12:12 Common Workshop Mistakes
20:02 Crafting Effective Pre-Workshop Questionnaires
27:45 Utilizing Tools for Workshops
35:04 Structuring Workshop Series vs. Standalone Sessions
41:00 Engaging Reluctant Participants
48:17 Measuring Workshop Success
53:55 Key Takeaways for Effective Workshops
workshop facilitation, effective workshops, workshop planning, participant engagement, workshop success, pre-workshop preparation, virtual workshops, workshop tools, measuring success, workshop techniques
In this episode of unDUBBED, hosts Sarah and Fiona engage with Kirk Munroe, co-founder of Paint with Data, to discuss the evolution of Tableau within the Salesforce ecosystem. They explore the significance of Data360, the transition from Tableau Classic to Tableau Next, and the importance of building semantic models for effective data analytics. Kirk shares insights from his extensive experience in the field, emphasizing the need for data professionals to adapt to new technologies and embrace opportunities for growth. The conversation also touches on the future of data analytics, the role of AI, and practical advice for data teams.
00:00 Introduction to Tableau and Kirk Munro
01:53 Understanding Tableau Next and Its Marketing Challenges
04:12 The Evolution of Data360 and Its Importance
06:36 Kirk Munro's Journey in Data and Analytics
09:44 Exploring Data360: Unified Customer Profiles
10:42 The Future of Data Applications and AI
17:42 The Challenges of Legacy Systems in Banking
17:53 Implementing Data360: Transforming Data Accessibility
20:20 Customization in Salesforce: A Double-Edged Sword
22:05 Transitioning to Tableau Next: What You Need to Know
26:04 The Future of Data Roles in the Tableau Ecosystem
30:29 Gathering Requirements: The Key to Effective Data Solutions
32:29 The Importance of Semantic Models in Data Analytics
38:17 Advice for Data Leaders: Improving Data Models
43:58 The Role of Data in Marketing Campaigns
46:14 Building Effective Data Models
48:50 Understanding Causation and Correlation in Data
51:34 The Future of Tableau Next
52:36 Strategic Recommendations for Tableau Next
01:00:35 Rapid Fire Insights on Data Analytics
Kirk Munroe on LinkedIn: https://www.linkedin.com/in/kirkmunroe/
Paint with Data: https://www.paintwithdata.com/
Data Modeling with Tableau: https://www.amazon.com/Data-Modeling-Tableau-practical-building/dp/1803248025
Kirk Munroe: 4 Common Tableau Data Model Problems…and How to Fix Them: https://www.flerlagetwins.com/2023/01/data-.html
Kirk Munroe: So What is Tableau Next? https://www.flerlagetwins.com/2025/07/tableau-next-1.html
Master the Tableau Data Model & Relationships featuring Kirk Munroe: https://www.youtube.com/watch?v=OE25-cK2ZHI
Data Modeling Masterclass with Kirk Munro: https://www.nextleveltableau.com/modeling
Tableau, Salesforce, Data360, analytics, Kirk Munroe, data strategy, semantic models, Tableau Next, business intelligence, data visualization
In this episode of UnDUBBED, hosts Sarah Burnett and Fiona Crocker sit down with Craig Turrell, to unpack the realities of enterprise AI transformation. From the concept of AI native architecture to the gap between AI hype and real-world adoption, Craig shares hard-won insights from decades at the cutting edge of AI, machine learning, and data science.
You’ll hear why machine communication and cultural influences on AI personalities matter for business, how financial institutions are leveraging AI innovation in highly regulated environments, and why leadership must drive a culture of learning and experimentation. Craig also explores the future of business intelligence, where generative AI meets data storytelling and user-centric design.
If you’re navigating the challenges of AI adoption, leadership in data-driven organisations, or the next wave of business intelligence, this conversation is packed with takeaways you can apply today.
Book a free 30-minute strategy session with us to explore how AI and data can accelerate your goals.
00:00 Introduction to Enterprise AI Transformation
01:37 Craig Turrell's Journey in AI and Innovation
04:58 The Hype Cycle and Reality of AI Implementation
08:51 Understanding Machine Communication and Interaction
12:27 Exploring Machine Personalities and Cultural Influences
18:12 AI Transformations in Banking: A Case Study
25:45 Navigating Innovation in a Regulated Environment
35:58 The Power of Language in Business Communication
36:56 Acceptance of AI in Leadership
38:56 Generative Intelligence vs. Traditional Business Intelligence
40:29 The Importance of Storytelling in Data
42:37 Data Literacy and Its Impact on Decision Making
45:12 Personalizing Business Intelligence for Diverse Needs
46:19 The Future of Business Intelligence
53:35 Leadership and Team Dynamics in the Age of AI
01:01:01 Cultivating a Learning Culture in Organisations
AI, enterprise AI, AI native architecture, machine learning, data science, finance innovation, leadership in AI, business intelligence, cultural influences on AI, AI communication
Craig Turrell on LinkedIn: https://www.linkedin.com/in/craig-turrell-9b002665/
Featuring: Brian Moore, Varun Jain, Kinsey Miller & Louis Yu In Part 2 of our Iron Viz deep-dive, we unpack how top Tableau creators bring data to life through storytelling, colour theory, design aesthetics, and cultural connections.
This episode is best viewed on YouTube or Spotify Video.
This episode explores the creative and technical decisions behind some of the most memorable Iron Viz feeder entries - where food, gaming, and visual storytelling collide. We sit down with four standout data viz designers from the Tableau community: Brian Moore, Varun Jain, Kinsey Miller and Louis Yu.
Together, we explore how they use AI tools for data collection, build custom colour palettes, apply thoughtful typography, and craft narratives that turn raw data into immersive visual experiences. If you’re passionate about data visualization, designing in Tableau, or understanding what it really takes to compete on the Iron Viz stage, this episode is packed with insights you can immediately apply to your next dashboard.
• How Iron Viz pushes creators to blend creativity, analytics, and storytelling.
• The emotional highs and lows of designing under pressure - iteration, doubt, breakthroughs.
• Techniques for transforming complex datasets into clear, cohesive narratives.
• Why personal and cultural connections make data more meaningful and memorable.
• How to use colour theory to guide attention and highlight insights.
• Choosing an accessible, intentional colour palette (including colour-blind friendly options).
• Typography tips for improving readability, hierarchy, and visual rhythm.
• The role of layout, composition, and hand-drawn elements in creating atmosphere.
• How creators gathered data on food, gaming, nutrition, ingredients and cultural context.
• When AI tools streamline research and when manual curation matters.
• Practical lessons from unexpected data challenges.
• How food in video games has evolved across decades.
• Why cultural influences shape visualization choices and storytelling direction.
• How sensory memories - taste, smell, nostalgia - enhance narrative impact.
• How peer feedback and the wider Tableau community elevate the work.
• Why iteration is the secret to polished design and stronger storytelling.
00:00 Introduction to Iron Viz and Brian Moore
01:34 Building the Background in Tableau
06:06 Colour Customization Techniques
12:18 Data Collection and Storytelling in Visualization
13:44 Varun Jain’s Journey in Data Visualization
15:14 Leveraging AI Tools for Data Extraction
18:48 Design Aesthetics in Data Visualization
24:47 Typography and Hierarchy in Visualizations
28:21 Aiming for the Iron Viz Stage
29:51 Introduction to Kinsey Miller and Iron Viz
31:39 Data Engineering for Iron Viz
35:48 Visual Design Choices and Inspirations
40:53 Colour Theory and Dashboard Aesthetics
47:02 Final Thoughts and Conclusion
49:27 Introduction to Lewis Yu
50:31 Concept Behind Louis’s Iron Viz Submission
54:33 Design Choices & Storytelling
59:13 Food in Video Games: Visual Trends
01:03:21 The Evolution of Cooking in Games
01:06:54 Research Process & Data Collection
01:11:14 Future Insights
01:11:42 Celebrating Creativity & Community
01:12:25 The Long-Term Impact of Participating in Iron Viz
Brian Moore
LinkedIn: https://www.linkedin.com/in/bm111/
Viz: https://public.tableau.com/app/profile/brian.moore7221/viz/TheConfectionConnection/TheConfectionConnection
Varun Jain
LinkedIn: https://www.linkedin.com/in/varunjain113/
Viz: https://public.tableau.com/app/profile/varun.viz.vorkshop/viz/WhatsforDinnerTonightIronViz2026/viz
Kinsey Miller
LinkedIn: https://www.linkedin.com/in/kinseynicolemiller/
Viz: https://public.tableau.com/app/profile/kinsey.n.miller/viz/CocktailCalculator/CocktailCalculator
Louis Yu
LinkedIn: https://www.linkedin.com/in/yulouis/
Viz: https://public.tableau.com/app/profile/louisyu/viz/PlayingwithFoodIronViz/Evolution
• You love Tableau, data visualization, or dashboard design.
• You're prepping for Iron Viz or want to understand how the best designers think.
• You’re looking to level up your storytelling, colour usage, typography, or design process.
• You’re fascinated by food, gaming, culture, and creative data stories.
This episode dives deep into the world of Tableau's IronViz Feeder competition, exploring how top creators transform data into meaningful stories.
The unDUBBED team are delighted to host datafam members: Kevin Wee, Ann Pregler, Heather Cox and Kimly Scott. Each guest shares their process - from concept to design to iteration - revealing the emotional, cultural, and technical layers behind their IronViz entries. You’ll learn how food becomes a canvas for storytelling, how colour guides perception, and why accessibility and personal connections elevate data work.
Whether you're a tenured data viz professional or a newcomer ready to learn, this conversation will spark new ideas, sharpen your design instincts, and fuel your storytelling craft. Part 1 of a 2 part series.
* How IronViz challenges participants to merge creativity, analysis, and storytelling.
* The emotional journey behind each entry, including uncertainty, iteration, and breakthrough moments
* Why relatable narratives and personal connections make data more accessible and engaging. * How to transform complex or overwhelming datasets into cohesive stories.
* How to apply colour theory deliberately to guide perception and highlight insights.
* The use of typography, modular grids, golden ratios, and hand-drawn design elements.
* Why accessibility matters, from colour-blind friendly palettes to alt text and contrast considerations.
* How cultural backgrounds influence the way data creators approach food-themed topics.
* The role of memory, heritage and sensory experience in shaping a visualisation’s narrative.
* How continuous refinement improves both storytelling and design.
* The value of peer feedback and community support throughout the creative process.
* How creators gather and analyse data on nutrition, ingredients, recipes and cultural context.
* When to simplify and when to deepen analysis to serve the story.
00:00 Introduction to Kevin Wee and Iron Viz
03:05 Exploring Dim Sum: A Culinary Journey
07:26 Design Principles in Data Visualization
11:26 Data Sourcing and Analysis Challenges
16:32 Cultural Connection and Personal Insights
19:57 Introduction to Heather Cox and Iron Viz
22:58 The Journey of Creating a Mocktail Visualization
25:31 The Social Impact of Non-Alcoholic Drinks
28:27 Design Inspirations and Technical Challenges
31:22 The Broader Implications of Data Visualization
33:25 Introduction to Anne Pregler and IronViz Submission
34:16 Crafting a Cohesive Story in Data Visualization
37:26 Design Elements and Typography Choices
42:42 Accessibility in Data Visualization
44:15 Intentional Use of Color in Design
46:00 Introduction to Kimley Scott and Her Achievements
47:24 The Inspiration Behind Kimley's Visualization
51:37 Design Choices and Aesthetic Balance
54:34 Techniques for Effective Visualization
57:23 The Art of Storytelling in Visualizations
59:40 Linking Food, Memory, and Emotion
01:04:07 Personal Touch in Data Storytelling
01:06:17 The Passion Behind Creativity
01:06:51 Diving Deeper into Craft and Storytelling
Connect with Kevin on LinkedIn
Connect with Ann on LinkedIn
Connect with Heather on LinkedIn
Connect with Kimly on LinkedIn
View Kevin's Submission
View Ann's Submission
View Heather's Submission
View Kimly's Submission
The Colorblindly plugin
In this episode of Undubbed, Fiona and Sarah explore Tableau Next, a revolutionary analytics platform from Salesforce. They discuss its new features, including a complete redesign of the analytics experience, the introduction of agentic analytics, and the importance of a human-centered approach to technology. The conversation delves into the four layers of Tableau Next, the role of AI in analytics, and strategies for building a data-driven culture within organizations. The hosts also share insights from a recent hackathon, highlighting innovative use cases and the potential ROI for businesses adopting Tableau Next.
00:00 Introduction to Tableau Next
01:18 Overview of Tableau Next Features
03:55 Understanding the Four Layers of Tableau Next
05:37 The Role of Agentic Analytics
17:18 Data 360 and Semantic Layer Insights
21:19 The Human Angle in AI Integration
23:08 Shifting Work Dynamics with AI
26:43 Building a Culture of Adoption
30:25 Creating Trust through Data Visibility
31:36 Maximizing ROI with Tableau Next
34:50 The Future of Continuous Analytics
39:05 Advice for Chief Data Officers
40:50 Conclusion: A New Mindset for Analytics
Tableau Tim's Tableau Next Channel
Kirk Munroe: So What is Tableau Next?
Kirk Munroe: Tableau Next Part 2: Data Cloud & Tableau Semantics
Learn Tableau Next on Trailblazer
Tableau Next Hackathon Grand Prize Winners: (Tableau) Next Question
Tableau Next Hackathon Most Creative Winners: team-bratwurst
Tableau Next Hackathon Most Impactful Winners: Agentic Analytics Readiness
Tableau Next Hackathon Best Design Winners: Transparency in Treatment
Tableau Next, analytics, data visualization, agentic analytics, data culture, ROI, continuous analytics, Tableau Hackathon
In this special anniversary episode of unDUBBED, Fiona and Sarah celebrate one year of running their data consultancy, Dub Dub Data. They pull back the curtain on the real journey of entrepreneurship - from perfectionism and self-doubt to building a trusted partnership and managing clients with confidence.
The conversation dives deep into business growth, data consulting, and the personal transformations that come with leaving corporate life to build something from scratch. Fiona and Sarah share candid reflections on the early decisions that shaped their business, the power of feedback, and how open communication has helped them navigate challenges and strengthen their partnership.
They also unpack what it really takes to succeed in consultancy - from setting boundaries with clients to embracing imperfection, redefining success, and learning when to say no. Whether you’re dreaming of launching your own data consultancy or looking to refine your approach to client management and business growth, this episode is packed with practical lessons and real talk from two entrepreneurs who’ve lived it.
💡 Key Takeaways
● Build trust through open communication in partnerships.
● Perfectionism kills momentum - focus on progress over polish.
● Adapting from corporate to consultancy life requires a mindset shift.
● Set and adjust goals regularly to stay aligned and agile.
● Know when to say no - not every client is the right fit.
● Navigating setbacks can unlock powerful growth and resilience.
● Define clear client boundaries from the start.
● Celebrate milestones and the relationships that fuel your journey.
● Feedback drives both personal and professional growth.
● Success is built on authenticity, community, and purpose.
🕒 Chapters
00:00 — Celebrating One Year of Dub Dub Data
02:00 — Foundational Decisions and Early Lessons
05:19 — The Pursuit of Perfection
08:39 — Mental Shifts in Consulting Life
13:16 — Goal Setting and Prioritisation
16:25 — Knowing When to Say No
19:20 — Our Biggest ‘Oh Shit’ Moments
21:34 — Building Success Through Challenges
23:21 — Managing Client Relationships and Expectations
26:02 — Moments of Validation in Business
28:16 — Reflections on Podcasting and Community
32:26 — Personal Growth and Sacrifices
35:12 — Learning Through Feedback
37:48 — Looking Ahead: Growth and Gratitude
TL;DR:
Join Fiona and Sarah from Dub Dub Data as they celebrate one year of building their data consultancy. From perfectionism and client management to business growth and feedback, this honest conversation reveals what it really takes to succeed in consultancy and entrepreneurship.
In this episode of unDUBBED, hosts Fiona and Sarah engage with Dr. Genevieve Hayes, a data scientist and entrepreneur, to discuss the evolving landscape of careers in data science. They explore the shift from traditional career paths to strategic career loops, emphasizing the importance of creating value beyond mere technical skills. Genevieve shares her journey from academia to industry, the significance of expanding roles within organizations, and the necessity of effective communication between technical and business stakeholders. The conversation also highlights the value of micro-credentials, the importance of lifelong learning, and practical advice for navigating career pivots in the data field.
00:00 Introduction to Data Career Evolution
01:51 Genevieve's Journey: From Academia to Data Science
06:13 Expanding Roles: Navigating Corporate Structures
08:29 Overcoming Hurdles: Pitching New Ideas
11:41 Creating Value: The Role of Data Professionals
14:07 Becoming a Strategic Contributor
18:04 Identifying Opportunities in Data Science
19:49 Understanding Client Needs vs. Wants
23:58 Developing Systems for Ordinary Data Scientists
26:01 Navigating Career Transitions in Data Science
26:24 The Power of Micro-Credentials
29:48 Identifying Future Opportunities in AI
35:58 The Evolution of Career Roles
37:55 The Importance of Communication Skills
40:06 Making Career Pivots
42:19 Common Career Development Mistakes
45:05 Rapid Fire Insights
Genevieve Hayes LinkedIn https://www.linkedin.com/in/gkhayes/
Value Drive Data Science Podcast https://valuedrivendatascience.com/
data science, career loops, value creation, micro-credentials, AI opportunities, lifelong learning, communication skills, career pivots, data professionals, strategic contributor
In this episode of unDUBBED, the tables are turned! Matthew Miller - Vice President of Product Management at Salesforce and long-time champion of the Tableau community - takes over as guest host to interview Sarah Burnett and Fiona Crocker, the co-founders of Dub Dub Data.
Together, they explore their entrepreneurial roots, early business lessons, and the defining moments that shaped their careers. Expect stories of selling chocolate bars at boarding school, running nightclubs, and rediscovering your superpower in business.
The conversation dives deep into:
Matthew draws out the personal and professional threads that make Dub Dub Data tick - from Fiona’s unrelenting problem-solving and deal-making to Sarah’s people-first storytelling superpower. It’s part origin story, part strategy masterclass, and 100% heart.
Tableau Medium Data - https://youtu.be/fEyrlgcBGzQ?si=O0LP_WjU4zN6GUub
Tableau Next Hackathon Entry - Craig Bloodworth - https://youtu.be/j-ie_FPH6OM?si=gCZpLQcJgTbaqIo_
Model Context Protocol in Tableau - Darragh Murray - https://youtu.be/N1qPGS3vkxc?si=1tfI6teJqE1msVF7
LinkedIn - Follow Geoffrey Smolders, CEO Biztory - https://www.linkedin.com/in/geoffreysmolders/
Biztory - https://www.biztory.com/
00:00 Introduction and Backgrounds
02:01 Entrepreneurial Roots and Early Experiences
04:13 Identifying Superpowers in Business
06:53 Client Relationships and Business Philosophy
08:50 Navigating Change and Market Adaptation
10:41 The Role of Analysts in Evolving Data Landscape
13:31 Cultural Differences and Personal Insights
28:20 Cultural Nuances in Problem-Solving
30:18 Lessons from International Experiences
30:36 Entrepreneurial Fears and Family Impact
35:03 Building the Dream Team
43:44 Funding Decisions and Company Ethos
49:07 R&D Focus and Future of Tableau
53:00 Data Visualization Insights
unDUBBED, entrepreneurship, data analytics, Tableau, business philosophy, client relationships, cultural differences, funding, data visualization
Migrating from Tableau Server to Tableau Cloud is complex, risky, and costly when done manually. TabMove automates up to 90% of migration tasks - cutting timelines, reducing errors, and lowering costs. With Dub Dub Data and Biztory, organisations in Australia, New Zealand, and Singapore gain a proven three-step migration model, local expertise, and fixed-price peace of mind.
Migrating to Tableau Cloud doesn’t have to mean chaos, broken permissions, or endless IT tickets. In this episode of unDUBBED, Fi and Sarah sit down with Timothy Vermeiren - Tableau Iron Viz Champion, consultant, and architect at Biztory - to unpack how TabMove is changing the game for organisations moving from Tableau Server to Tableau Cloud.
From automating 90% of the migration work (think users, permissions, schedules, favourites) to cutting timelines from weeks down to days (for smaller migrations), TabMove takes the pain out of replatforming. Timothy shares the biggest blockers companies face, why legacy server setups are holding teams back, and real-world stories like Veygo’s lightning-fast migration.
You’ll also hear how Dub Dub Data and Biztory have partnered to bring TabMove to APAC - giving Australia, New Zealand, and Singapore customers local expertise with global best practice.
If you’ve ever dreaded the thought of “not another migration,” this episode is your roadmap to a faster, cleaner, and smarter move to the cloud.
00:00 Introduction to Migration Challenges
01:18 Meet Timothy Vermeiren and TabMove
02:56 The Case for Migration to Tableau Cloud
04:58 Understanding the Benefits of Tableau Cloud
06:43 Challenges of Manual Migration
08:44 Hidden Costs of Legacy On-Prem Solutions
10:11 Automation with TabMove
12:43 Managing Permissions and User Access
23:56 Automating Migration Processes
26:54 Understanding Migration Challenges
28:45 Comparing Migration Tools
35:46 Case Study: Veygo's Rapid Migration
38:29 The Role of Tableau Administrators
41:27 Customer Outcomes Post-Migration
44:37 Three-Step Delivery Model
51:00 Ongoing Support After Migration
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