Unscripted. Uncensored. Undeniably data!
The podcast where data dreams get real! We're breaking down the secrets of data brilliance, diving into the messy & magical moments of data life, from AI to simple reporting, sales and data careers. Nothings off the table! Join us for stories, insights & a few laughs with innovators from around the world. If you're ready to unmask the data game, this one’s for you!
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D37 How to Make Your Data Actually Matter with Cole Nussbaumer Knaflic
Monday, April 20, 2026 • Duration 01:07:01
In this episode of unDUBBED, we’re joined by Cole Nussbaumer Knaflic, founder of Storytelling with Data and one of the most influential voices in data storytelling and data visualisation.
Cole shares practical, real-world insights on why data often fails to drive decisions - even when the analysis is right - and how to shift from simply showing data to actually influencing outcomes.
From her journey through banking and Google’s People Analytics team to building a global data storytelling movement, this conversation is packed with actionable techniques to help you communicate data with clarity, purpose, and impact.
🔑 Main Topics
Why data fails to drive decisions - and how to fix it
The shift from showing data to explaining data
Audience-first thinking in data storytelling
Structuring communication using the narrative arc
The role of iteration, feedback, and time in crafting data stories
When to use dashboards vs storytelling
The risks and realities of AI in data visualisation
📌 In This Episode
Cole’s journey from banking to Google and founding Storytelling with Data
How data visualisation became a critical business communication skill
Why designing for yourself (not your audience) is the biggest mistake in data
The difference between exploring data vs explaining data
How to use titles, annotations, and contrast to guide attention
The power of low-fidelity prototyping and iteration for alignment
Why most data presentations follow a “selfish” structure - and how to fix it
Using the narrative arc to create tension and drive action
How to develop a clear “Big Idea” before building anything
The role of AI in data storytelling - speed vs risk, and hallucinations
Common chart mistakes, including unnecessary detail and poor audience focus
⏱️ Chapters
00:00 - Introduction to data storytelling with Cole Nussbaumer Knaflic
02:12 - Cole's journey from banking to data visualization at Google
03:45 - The importance of clear visual communication in business
06:46 - Teaching data visualization at Google and creating impact
08:45 - The storytelling ecosystem: books, workshops, community
10:48 - Making data concepts accessible and engaging
13:33 - The collaborative process behind “Storytelling with Data: Before and After”
17:17 - The power of the “before and after” in data improvement
18:10 - The storytelling process as a “glow up” for data
19:01 - Tools and techniques for rapid prototyping and iteration
20:41 - Strategies for understanding the audience and customizing communication
23:52 - Using low-tech methods for stakeholder alignment
27:03 - Balancing detail with clarity: avoiding overwhelm
29:54 - Differentiating between storytelling and dashboards
33:10 - Structuring data communication as a narrative arc
36:39 - The importance of concise messaging and annotations
46:16 - Layering information to enhance understanding
50:52 - Developing the “Big Idea”: clear, impactful core message
55:43 - The role of AI and machine-generated charts in modern data storytelling
64:10 - Common chart crimes and things to stop doing
64:47 - Final takeaways: prioritize audience understanding and time
66:09 - Resources, books, and ways to connect with Cole
🔗 Resources & Links
Storytelling with Data → https://www.storytellingwithdata.com
Storytelling with Data: Before and After (book) → https://www.storytellingwithdata.com/before-and-after
Data alone doesn’t drive decisions - clear communication does
If your audience doesn’t know what to do, your data has failed
Start with the audience and the action, not the analysis
Use storytelling to create tension, clarity, and direction
AI can accelerate workflows - but human judgment remains critical
D36 Dashboards don't drive decisions, people do!
Saturday, April 4, 2026 • Duration 59:32
Summary
Are your dashboards actually driving decisions? Or are they beautifully built artefacts that nobody uses? In this episode of unDUBBED, Sarah and Fiona sit down with two of the most respected voices in data communication to tackle one of the industry's most uncomfortable questions: do dashboards actually work?
Amanda Makulec is a data visualisation leader with 15 years of experience and a founding board member and former executive director of the Data Visualisation Society. Andy Cotgreave spent 20 years in data and analytics, 15 of them at Tableau, before co-founding How to Speak Data. Together they co-host Chart Chat - so yes, they have opinions.
The conversation digs into the discovery and prototyping work that must happen before anyone opens a tool, the difference between story finding and storytelling, and why reducing friction often beats adding features. They also get into AI's messy, exhilarating, and frankly terrifying impact on data work.
Whether you build dashboards, manage a team that does, or quietly suspect nobody reads your reports - this one's for you. Amanda and Andy are also co-authors of the Big Book of Dashboards and Dashboards That Deliver.
Takeaways
71% of people surveyed said most dashboards fail - but did you ever define what success looked like in the first place?
The most common mistake is diving into building before understanding what users actually need - discovery and prototyping must come before development.
Dashboards don't drive decisions, people do - the real value of data happens in the conversations it sparks, not the charts themselves.
Reducing friction is one of the highest-leverage moves you can make - data needs to meet people where they already work.
Story finding and storytelling are completely different design paradigms - conflating them is one of the most costly mistakes in data communication.
Pretty data that turns out to be wrong destroys trust faster than almost anything - and AI makes this risk higher, not lower.
Your data team is probably using AI extensively without telling you - and leadership's early bans are almost certainly why.
The word "dashboard" is just semantic drift from stagecoaches - what matters is whether people can act on the information, whatever you call it.
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D35 Your Ultimate Guide to Tableau Conference 2026
Sunday, March 22, 2026 • Duration 57:18
Heading to Tableau Conference 2026 in San Diego? This episode is a practical guide to getting real value from TC26 - without wasting time, burning out, or missing what actually matters.
Tableau Conference can be overwhelming. Thousands of people. Hundreds of sessions. Constant noise, energy, and options pulling you in every direction. The difference between a good experience and a genuinely career-shifting one comes down to how you approach it.
This episode focuses on how to navigate TC26 with intent. It covers what to prioritise, how to think about sessions versus conversations, where the real value is created, and how to position yourself to get more than just inspiration - actual outcomes you can take back into your work.
There’s a strong emphasis on the parts of conference that aren’t written in the agenda: the moments between sessions, the meetups, the side conversations, and the connections that often lead to opportunities long after the event ends.
It also addresses the reality of conference fatigue, decision overload, and the pressure to “do everything” - and reframes the experience around making deliberate choices instead. If you want to walk into TC26 with clarity, confidence, and a strategy that helps you get more out of the experience than most people in the room, this is the episode to listen to before you go.
00:00 – Welcome to TC26: A Journey Begins Fi and Sarah open with the personal story behind why Tableau Conference matters so much to them, including how they first met at TC17.
02:50 – Key Events Not to Miss at TC26 A rundown of the keynote, Devs on Stage, and Iron Viz – and why each one matters for a different reason.
D34 Lifting the Floor: How Andy Kriebel Builds Unstoppable Tableau Analysts
Saturday, March 7, 2026 • Duration 41:47
Summary
What does it actually take to build a confident Tableau analyst? In this episode of unDUBBED, hosts Sarah Burnett and Fiona Crocker sit down with Andy Kriebel, Tableau Visionary, Hall of Famer, and founder of Next Level Tableau, to explore the coaching philosophy that has shaped some of the best analytical talent in the global data community.
Andy has spent nearly two decades turning analysts into exceptional performers. Ten of his trainees have gone on to become Tableau Visionaries themselves, out of only 72 people worldwide who hold that distinction. His stated goal is to make you so good at Tableau that you don't need him anymore.
The conversation explores how confidence is built through environment rather than personality, why soft skills are just as critical as technical ability, and what separates analysts who improve slowly from those who accelerate fast. Andy also reflects on his journey from underwriter to Facebook manager to head coach at the Data School in London, and how those experiences shaped the live, community-driven training model at the heart of Next Level Tableau.
Whether you're an analyst wanting to level up, a manager building a high-performing data team, or someone pivoting into a data career, this episode is packed with honest, practical insights you can apply straight away.
Takeaways
Confidence isn't a personality trait - it's an environment you deliberately design.
The earliest signal that someone will step up is their willingness to put in just that little bit of extra work.
Active participation, homework, and portfolio building compound quickly - especially for career changers.
The number one predictor of a great consultant is listening, not technical skill.
Career changers who invest their own money in learning consistently outperform those whose companies foot the bill.
Building your network and connecting with people already doing what you want to do is the fastest shortcut to career growth.
Communities thrive when everyone focuses on lifting the floor, not racing to the top.
Even experienced Tableau practitioners pick up new efficiency gains in every single class.
The difference between learning Tableau and thinking Tableau is built through deliberate repetition and observation.
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D33 38% of People Can’t Communicate Their Value – Here’s How to Fix It with Sharon Lim
Monday, February 23, 2026 • Duration 49:01
Why do so many talented professionals struggle to communicate their impact and value?
In this episode of unDUBBED, Fiona and Sarah are joined by leadership coach Sharon Lim to unpack one of the biggest non-technical challenges facing professionals today: articulating your communication, impact, and value.
After polling their community, 38% said their biggest struggle isn’t technical skill – it’s getting others to understand what they do and why it matters.
Together, they explore:
Why smart, analytical professionals often overthink communication
How storytelling increases influence and connection
The power of radical candor in leadership and advocacy
How to influence without authority
Why self-management is foundational to communication
How LEGO Serious Play unlocks creativity and strategic clarity
The importance of listening for the “2% truth”
This episode blends coaching, leadership psychology, practical influence techniques, and real-world workplace dynamics to help you communicate your value with clarity and confidence.
If you want to increase your influence, strengthen your leadership presence, and articulate your impact without dumbing down your expertise – this episode is essential listening.
Key Topics Covered
1. Why Professionals Struggle to Communicate Impact
38% of the community identified communication of value as their biggest challenge
The hidden desire behind “communicating impact”: to be heard, seen, and valued
Why listening is as important as speaking
2. Storytelling as a Leadership Skill
Translating technical communication into stories
Speaking your audience’s language
Using metaphor to bridge analytical and non-analytical thinking
3. Radical Candor in Leadership & Advocacy
4. Self-Management Before Influence
5. Influence Without Authority
6. LEGO Serious Play & Creativity in Leadership
Key Takeaways
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D32 The Flerlage Twins on 10 Years, 451 Blog Posts & Why They're Not Stopping
Saturday, February 7, 2026 • Duration 55:09
Summary
In this episode of unDUBBED, hosts Fiona and Sarah celebrate a decade of contributions from the Flerlage Twins to the Tableau community. They reflect on the journey of Ken and Kevin Flerlage, their impactful blog posts, the importance of community support, and the evolution of data visualization practices. The conversation also touches on the intersection of design and mathematics in data visualization, the challenges and opportunities presented by AI, and the significance of teaching and sharing knowledge within the data community.
Takeaways
The Flerlage Twins have been influential in the Tableau community for a decade.
Their blog has over 450 posts, providing valuable resources for Tableau users.
Community support is crucial in the data visualization space.
Design and math are both essential in creating effective visualizations.
AI is a significant trend, but quality data remains fundamental.
Teaching complex topics in a digestible way is a key strength of the Flerlage Twins.
The Tableau community is known for its willingness to help and share knowledge.
Memorable moments in their journey include awards and presentations at Tableau Conference.
Their blog posts often stem from real-world challenges faced in their consulting work.
The Flerlage Twins emphasize the importance of collaboration and learning from others.
Chapters
00:00 Introduction to unDUBBED and the Flourish Twins
02:51 Celebrating a Decade of Data Storytelling
04:10 The Journey of the Flourish Twins
08:31 The Impact of Community and Support
10:53 The Art and Math of Data Visualization
16:38 Reflections on AI and the Future of Data
19:35 The Importance of Data Quality in AI
20:15 Concerns About Artificial General Intelligence (AGI)
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Keywords
D31 How to Run a Workshop That Doesn’t Suck (Facilitation Tips That Work)
Sunday, January 25, 2026 • Duration 59:24
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.
Takeaways
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.
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D30 Tableau Next & Data360: Why Salesforce Customers Should Pay Attention
Saturday, January 10, 2026 • Duration 01:06:26
Summary
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.
Takeaways
Kirk Munroe emphasizes the importance of embracing change in data analytics.
Data360 is crucial for unifying customer profiles across multiple channels.
Organizations often struggle with data visibility due to customization in Salesforce.
Transitioning to Tableau Next makes sense for companies already using Salesforce.
Building semantic models is essential for effective data analysis.
Data professionals should focus on understanding business needs and gathering requirements.
The future of data analytics will be more consultative and integrated.
AI poses risks but also opportunities for data professionals.
Tableau Next is not just a replacement but an enhancement of existing tools.
Data analytics should be actionable and accessible to all users.
Chapters
00:00 Introduction to Tableau and Kirk Munro
01:53 Understanding Tableau Next and Its Marketing Challenges
D22 The 80/20 Rule of AI: Smarter Decisions, Faster Innovation with Craig Turrell
Thursday, December 11, 2025 • Duration 01:08:58
Summary
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.
Craig Turrell emphasises the importance of AI native architecture in enterprise settings.
The conversation highlights the disparity between AI hype and its actual implementation in organisations.
Craig's journey showcases the evolution of AI technologies over decades.
The need for organisations to understand machine communication for effective AI deployment is crucial.
Cultural influences shape the personality and responses of AI models.
AI transformations in financial institutions can lead to significant efficiency gains.
Leadership plays a vital role in fostering a culture of learning and innovation in AI.
The future of business intelligence lies in integrating AI with traditional data practices.
User experience design is essential for effective AI applications.
Continuous curiosity and a willingness to learn are key traits for success in AI.
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D29 Tableau IronViz Secrets: Storytelling, Colour Theory and Cultural Connections (Part 2)
Monday, December 8, 2025 • Duration 01:12:34
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.
⭐ What You’ll Learn
1. Iron Viz as a Creative Playground
• How Iron Viz pushes creators to blend creativity, analytics, and storytelling.
• The emotional highs and lows of designing under pressure - iteration, doubt, breakthroughs.
2. Storytelling That Connects
• Techniques for transforming complex datasets into clear, cohesive narratives.
• Why personal and cultural connections make data more meaningful and memorable.
3. Design Aesthetics That Matter
• How to use colour theory to guide attention and highlight insights.
• Typography tips for improving readability, hierarchy, and visual rhythm.
• The role of layout, composition, and hand-drawn elements in creating atmosphere.
4. Data Collection, AI Tools & Workflow
5. Food, Culture & Gaming
6. Community, Feedback & Iteration
Chapters
🎤 Featured Creators & Their Work
🎧 Perfect For You If…
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Data communication is broader than data visualisation - sometimes one statistic at the right moment beats an entire interactive dashboard.
In an AI-obsessed world, the things that remain irreplaceable are human context, earned trust, and genuine connection with the people who use your data.
amanda makulec, andy cotgreave, dashboards that deliver, big book of dashboards, why dashboards fail, dashboard design, data communication, data visualisation, story finding vs storytelling, AI and data analytics, future of dashboards, dashboard strategy, user centred design, discovery before development, reducing data friction, data trust, data decision making, how to speak data, chart chat, data visualisation society, datafam, unDUBBED, dub dub data, dashboard best practices, data storytelling
00:00 Introduction to Dashboards and Their Value
08:35 The Failure of Dashboards: Insights and Statistics
19:23 Redefining Dashboards: Integration and User Experience
21:54 Teaching Data Visualization Workshops
24:02 The Future of Dashboards
33:38 Data Communication vs. Data Visualization
44:26 AI and the Role of Data Teams
45:10 The Rapid Evolution of AI Technology
47:04 Balancing Productivity and Ethical Concerns in AI
47:51 The Importance of Human Connection in Data Analysis
50:04 Building Trust and Communication in Data Work
Iraq's Bloody Toll by Simon Scarr - https://www.youtube.com/watch?v=Ybwh4lejYO4
Empire of AI by Karen Hao - https://www.penguin.co.uk/books/460331/empire-of-ai-by-hao-karen/9781802064650
Weapons of Math Destruction by Cathy O'Neil - https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815
10:37 – Exploring Community Engagement and Networking The wider conference experience beyond the headline sessions, including To The Core, the Vizzies, the Community Village, the hackathon, and Data Night Out.
27:40 – The Importance of Community Meetups Why meetups are one of the best parts of TC, especially for making real connections and easing into the week.
31:55 – Navigating Your First Tableau Conference What day one feels like, why it can be overwhelming, and how to settle into it without pressure.
34:36 – Conference Energy Management A practical discussion on food, hydration, noise, alcohol, rest, and pacing yourself across multiple days.
36:33 – Navigating Networking and Conversations How to approach people, handle imposter syndrome, and start conversations with community members you admire.
39:45 – Asking Questions and Session Etiquette Tips on asking good questions, keeping notes, leaving sessions respectfully, and making the most of Q&A moments.
42:58 – Avoiding Common Conference Pitfalls The things Fi and Sarah would avoid, including over-scheduling, skipping meals, and trying to do everything.
44:21 – Comfort and Preparation for TC26 Shoes, layers, battery packs, roaming, LinkedIn QR codes, note-taking, and practical conference readiness.
45:12 – Final Takeaways and Conference Insights A rapid-fire finish on favourite sessions, underrated parts of TC, survival tips, and what they hope listeners take from the episode.
Flerlage Twins, Tableau, Data Visualization, Community, AI, Teaching, Design, Analytics, Data Fam, Blog Posts
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:
“Are we solving the right problem?” (anonymous if you need honesty)
“How confident are you using data to make decisions?” (helps you pitch content and support)
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:
Invite quieter voices without putting them on the spot
Use a co-facilitator to track chat, energy, and dynamics
Plan breaks – especially for long or virtual sessions
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.
Tableau, Salesforce, Data360, analytics, Kirk Munroe, data strategy, semantic models, Tableau Next, business intelligence, data visualization
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/
• 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.
