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unDUBBED
unDUBBED
Author: Fiona Crocker & Sarah Burnett | co-founders, dub dub data
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© 2026 dub dub data
Description
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!
33 Episodes
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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
The neuroscience of narrative and connection
3. Radical Candor in Leadership & Advocacy
The difference between being blunt and practising radical candor
Challenging directly while caring personally
Why timing matters in leadership communication
Moving from “yes, but” to “yes, and”
4. Self-Management Before Influence
Overcoming analysis paralysis
Recognising when you’re in a “funk”
Practical reset tools: pause, breathe, reframe
Why emotional regulation strengthens leadership presence
5. Influence Without Authority
Building trust before pushing ideas
Matching energy and communication styles
Tailoring your message to your audience
Why trust creates more influence than hierarchy
6. LEGO Serious Play & Creativity in Leadership
How hands-on building bypasses overthinking
Storytelling through metaphor and physical models
Unlocking creativity in teams
Strengthening collaboration through shared narratives
Key Takeaways
38% of professionals struggle with communicating their impact and value.
Effective communication starts with understanding your audience.
Listening deeply increases your influence.
Everyone is “right, partially.”
Ask: “What is the 2% truth here?”
Radical candor requires both directness and care.
Self-management is essential for effective leadership.
You can influence without formal authority.
Storytelling strengthens connection and persuasion.
LEGO Serious Play fosters creativity and collaboration.
Sound Bites
“Everyone’s right, partially.”
“What is the 2% truth here?”
“You can influence without authority.”
“Pause. Breathe.”
“It’s not about dumbing it down – it’s about connecting.”
Chapters
00:00 – Introduction to Communication Challenges 02:40 – Sharon Lim’s Journey & Coaching Philosophy 12:40 – Understanding Impact & Value in Communication 22:12 – Overcoming Analysis Paralysis 24:16 – Navigating the Funk 25:59 – Self-Care & Self-Management in Leadership 28:54 – LEGO Serious Play & Creative Communication 33:33 – Radical Candor & Advocating for Yourself 43:15 – Influencing Without Authority
Links
Connect with Sharon Lim
Robert Cialdini – Influence: The Psychology of Persuasion
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)
21:26 AI's Impact on Work and Productivity
23:13 The Role of Human Input in AI
25:33 Ethics and Dangers of AI
25:42 Teaching at Scale: Learning Styles and Content Creation
38:16 Popular Tableau Techniques and Their Impact
40:06 Technical Glitches and Solutions
40:08 Top Blog Posts and Their Impact
42:21 Memorable Blog Posts and Their Significance
45:11 Favorite Memories and Milestones
50:03 Reflections on Career Decisions and Growth
Links
The Flerlage Twins: https://www.flerlagetwins.com/
Ken on Tableau Public: https://public.tableau.com/app/profile/ken.flerlage
Kevin on Tableau Public: https://public.tableau.com/app/profile/kevin.flerlage
Ken on LinkedIn: https://www.linkedin.com/in/kennethflerlage/
Kevin on LinkedIn: https://www.linkedin.com/in/kevin-flerlage-20106a8/
Moxy Analytics: https://www.moxyanalytics.com/the-flerlage-twins
Top Blog Posts Mentioned:
"Datafam Colors" (#1 most popular): https://www.flerlagetwins.com/2021/06/datafam-colors-color-palette.html
"Transparent Color Hex Code" (#2 most popular): https://www.flerlagetwins.com/2019/04/introducing-transparent-color-hex-code.html
"20 Uses for Tableau Level of Detail Calculations" (#3 most popular): https://www.flerlagetwins.com/2018/01/lod-calculations.html
"Beyond Show Me Part 1: It's All About the X & Y": https://www.flerlagetwins.com/2017/11/beyond-show-me-part-1-its-all-about-x-y_46.html
"Beyond Show Me Part 2: Trigonometry": https://www.flerlagetwins.com/2017/11/beyond-me-part-2-trigonometry_1.html
"No Polygons" technique (Kevin's early post): https://www.flerlagetwins.com/2019/01/no-polygons.html
"Tableau Chart Catalog": https://public.tableau.com/app/profile/kevin.flerlage/viz/TableauChartCatalog/TableauChartCatalog
Sankey Templates: https://www.flerlagetwins.com/2021/07/sankey-template.html
Keywords
Flerlage Twins, Tableau, Data Visualization, Community, AI, Teaching, Design, Analytics, Data Fam, Blog Posts
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.
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.
Chapters
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
Keywords
workshop facilitation, effective workshops, workshop planning, participant engagement, workshop success, pre-workshop preparation, virtual workshops, workshop tools, measuring success, workshop techniques
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
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
Links
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
Keywords
Tableau, Salesforce, Data360, analytics, Kirk Munroe, data strategy, semantic models, Tableau Next, business intelligence, data visualization
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.
Book a free 30-minute strategy session with us to explore how AI and data can accelerate your goals.
Takeaways
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.
Chapters
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
Keywords
AI, enterprise AI, AI native architecture, machine learning, data science, finance innovation, leadership in AI, business intelligence, cultural influences on AI, AI communication
Links
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.
⭐ 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.
• 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.
4. Data Collection, AI Tools & Workflow
• 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.
5. Food, Culture & Gaming
• 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.
6. Community, Feedback & Iteration
• How peer feedback and the wider Tableau community elevate the work.
• Why iteration is the secret to polished design and stronger storytelling.
Chapters
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
🎤 Featured Creators & Their Work
Brian MooreLinkedIn: 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
🎧 Perfect For You If…
• 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.
Key Takeaways
// IronViz as a Creative Catalyst
* How IronViz challenges participants to merge creativity, analysis, and storytelling. * The emotional journey behind each entry, including uncertainty, iteration, and breakthrough moments
// Storytelling That Resonates
* Why relatable narratives and personal connections make data more accessible and engaging. * How to transform complex or overwhelming datasets into cohesive stories.
// Effective Design Techniques
* 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.
// Food, Culture and Meaning
* 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.
// Iteration and Feedback
* How continuous refinement improves both storytelling and design. * The value of peer feedback and community support throughout the creative process.
// Data Collection and Practical Challenges
* 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.
Chapters
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 Visualization37:26 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
Links:
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
Summary
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.
Takeaways
Tableau Next represents a significant evolution in analytics.
The platform integrates seamlessly with Salesforce, enhancing user experience.
Agentic analytics allows for deeper insights without overwhelming users.
The semantic layer provides business context to data, making it more accessible.
Organizations should focus on building a data-driven culture to maximize analytics adoption.
Starting small with proof of concepts can lead to greater success.
Continuous analytics will shift the focus from static reports to real-time insights.
The human element is crucial in leveraging AI for analytics effectively.
Collaboration across departments is essential for a unified data strategy.
Investing in training and change management is key to successful analytics implementation.
Chapters
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
Links
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
Keywords
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.
Summary
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.
Takeaways
The shift from traditional career paths to strategic career loops is essential.
Creating value in data roles goes beyond collecting certifications.
Expanding your role can create new opportunities within your organization.
Effective communication is crucial for bridging the gap between technical and business stakeholders.
Quick win projects can help identify opportunities and build momentum.
Lifelong learning is vital for career advancement in data science.
Micro-credentials can provide targeted skills without the need for extensive degrees.
Positioning yourself as a solution to future problems can enhance career prospects.
Celebrating successes and communicating value is important for data professionals.
Focusing on business skills is more beneficial than solely pursuing technical skills.
Chapters
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
Links
Genevieve Hayes LinkedIn https://www.linkedin.com/in/gkhayes/
Value Drive Data Science Podcast https://valuedrivendatascience.com/
Keywords
data science, career loops, value creation, micro-credentials, AI opportunities, lifelong learning, communication skills, career pivots, data professionals, strategic contributor
Summary
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:
Cultural contrasts between New Zealand, Australia, and the U.S. - and how they shape communication and collaboration.
Client relationships that thrive on trust, transparency, and shared problem-solving.
The evolution of the data analyst - from dashboard designer to semantic-layer strategist. How AI, Tableau Next, and Model Context Protocol (MCP) are reshaping the future of data visualisation.
The no-asshole policy behind Dub Dub Data’s culture - and what happens when values truly drive growth.
Dream hires, lessons from corporate life, and how they’d spend a $5M seed fund.
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.
Takeaways
Matthew Miller hosts the episode, flipping the script on the usual format.
Sarah and Fiona share their entrepreneurial backgrounds and influences.
Fiona's early experiences include selling chocolate bars and tinting eyelashes.
Sarah's entrepreneurial journey began later in life, inspired by conversations with Fiona.
Both co-founders identify their superpowers in business and how they complement each other. They discuss the importance of client relationships and the type of clients they seek.
The conversation touches on the evolution of the analyst role in data analytics. Cultural differences between New Zealand and Australia are explored.
Fiona shares lessons learned from her childhood entrepreneurial experiences.
The duo discusses their vision for Dub Dub Data and their approach to funding.
Links
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/
Chapters
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
Keywords
unDUBBED, entrepreneurship, data analytics, Tableau, business philosophy, client relationships, cultural differences, funding, data visualization
TL;DR:
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.
Summary
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.
Takeaways
Manual Tableau migrations are complex, risky, and costly.
Tableau Cloud offers lower TCO, better scalability, and access to the newest features.
TabMove automates up to 90% of the migration workload, including content, users, groups, and permissions.
Timothy’s three-step delivery model - scoping, workshop, delivery - de-risks projects and ensures success.
Dub Dub Data and Biztory are partnering to deliver TabMove migrations across Australia, New Zealand and Singapore.
Chapters:
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
Summary
In this thought-provoking episode of unDUBBED, hosts Fiona Crocker and Sarah Burnett sit down with Dr. Mark Powell - psychologist, bestselling author of The Mind Beyond the Machine, global keynote speaker, and Head of Private Cloud Data Delivery at Standard Chartered Bank - to explore the powerful intersection of AI, psychology, human behaviour, and leadership.
Mark brings a rare blend of cutting-edge technology strategy and human-first leadership, shaped by decades of leading billion-dollar tech transformations and a deep understanding of how mindset and behaviour influence success. Together, we unpack how AI reflects human consciousness, why our fears often say more about us than the technology, and how leaders can adapt, evolve, and thrive in a rapidly changing world.
Takeaways
AI and human behaviour: Why AI is a mirror to our own thinking - and why unexamined mindsets may be a bigger risk than the technology itself
Mindset in the age of AI: How reframing fear into opportunity can fuel personal growth and professional innovation
Authenticity and leadership: Why authentic human contribution still matters - and how to protect it in an AI-saturated world
Ethics and accountability: The role of governance, design principles, and human oversight in ensuring AI is used responsibly
The growth mindset in action: How to use AI as an ally to enhance creativity, productivity, and learning, not replace them
Practical change management for yourself: Why you need to be your own coach, set tangible goals, and reward your progress
Chapters
00:00 Introduction to Undubbed Podcast
01:25 Mark Powell's Journey: From Psychology to Tech Transformation
08:53 The Writing Process: A Human Perspective on AI
13:14 Navigating Anxiety in the Age of AI
25:59 Authenticity and Human Contribution in a Tech-Driven World
33:14 The Importance of Listening and Communication
34:13 Navigating the Chaos of Learning
36:49 Change Management and Self-Improvement
38:44 The Power of Mindset and Reframing
42:31 Ethics and Accountability in AI
48:47 Teaching Machines: Understanding vs. Remixing Noise
58:28 Building AI: Escaping Limits or Understanding Them?
01:01:18 Embracing Opportunity in a Messy World
Links
Connect with Mark: https://www.linkedin.com/in/markpowellpsy/
Mark’s website: https://www.markpowellonline.com/
Buy Mark’s Book: The Mind Beyond the Machine
Dub Dub Data - Helping leaders make sense of data, AI and change without losing the human part. Website | LinkedIn
Keywords
AI, psychology, technology transformation, human behavior, ethics, leadership, change management, authenticity, data, growth mindset
In this episode of unDUBBED, hosts Sarah Burnett and Fi Crocker sit down with Brian Tancock, Partner at Neurodiverse You, for a powerful and eye-opening conversation about neurodiversity in the workplace.
Brian shares his personal journey from international banking across London, Singapore, and Hong Kong to becoming a leading neurodiversity advocate and mental health supporter. Drawing from his lived experience with ADHD, Brian unpacks the challenges neurodivergent professionals face in today’s work environments - from rigid hiring processes and communication barriers to leadership blind spots that impact team performance.
You’ll learn practical, actionable strategies for inclusive leadership, creating supportive workplace cultures, and tailoring recruitment and management practices to unlock the potential of diverse minds. This discussion is a must-listen for leaders, managers, HR professionals, and anyone in the data and analytics community committed to building truly inclusive teams. If you value workplace inclusion, mental health awareness, and neurodiversity advocacy, hit LIKE, SUBSCRIBE, and share this episode with colleagues.
To explore how Dub Dub Data can help your organisation build an inclusive, data-driven culture, visit us at https://www.dubdubdata.com/
Takeaways
Neurodiversity is relevant in various professional fields.
Personal experiences shape our understanding of workplace dynamics.
Transitioning careers can lead to new opportunities for growth.
Empathy and understanding are crucial in workplace interactions.
Communication styles must be adapted for neurodiverse individuals.
Inclusive hiring practices benefit organizations as a whole.
Leaders should foster open communication and trust with their teams.
Mental health support is essential for all employees.
Recognizing individual backstories can enhance workplace culture.
Small accommodations can lead to significant improvements in productivity.
Links
Neurodiverse You: https://neurodiverseyou.com
Connect with Brian: https://www.linkedin.com/in/briantancock/
Chapters
00:00 Introduction to Neurodiversity in Business
01:08 Brian Tancock's Journey from Banking to Neurodiversity
04:01 Transitioning to a Supportive Environment
06:27 Understanding Neurodiversity and Its Impact
08:36 Navigating Workplace Challenges
11:33 The Role of Organizations in Supporting Neurodiversity
13:12 The Importance of Communication and Support
15:55 Addressing Undiagnosed Neurodiversity
17:53 Creating Inclusive Workplaces
20:21 The Future of Neurodiversity in Business
31:27 Building a Culture of Listening
33:07 Inclusive Hiring Practices
36:14 Flexibility in the Workplace
40:06 Communication and Leadership
43:10 Understanding Employee Needs
45:54 Creating Safe Spaces for Conversations
49:43 Cultural Sensitivity in Neurodiversity
53:09 The Impact of Leadership on Neurodiverse Employees
57:30 Adapting Communication Styles
01:02:00 Reflection and Growth in Leadership
01:03:21 The Importance of Inquiring About Backstories
Keywords
neurodiversity, workplace, mental health, inclusivity, leadership, hiring practices, communication, support strategies
In this episode of unDUBBED, hosts Sarah and Fiona sit down with Dr Selena Fisk, author of I Am Not a Numbers Person, to unpack the widespread issue of data anxiety and the growing need for data literacy and data fluency in today’s data-saturated world. Together, they explore how societal beliefs around numbers and maths anxiety can undermine data-informed decision-making, and why building confidence with data is essential for individuals at every level.
The conversation dives into key concepts like curiosity in data, the dangers of confirmation bias, and the power of triangulating multiple data sources to uncover reliable insights. Selena also highlights the importance of developing a data culture and fostering data conversations that bridge the gap between data analysts and business stakeholders.
Through the lens of data democratisation, the trio discuss practical strategies for making data accessible, understandable, and actionable across organisations. They emphasise the role of data storytelling, critical thinking, and the shift from being data-driven to being truly data-informed.
The episode wraps up with a forward-looking discussion on the evolution of data literacy programs, and how teams can build habits around using pre-decision and post-decision data to evaluate impact and drive continuous improvement.
Takeaways
Data anxiety is a widespread issue that can impact how decisions are made.
Challenging the mindset of being “not a numbers person” is key to building confidence with data.
Actively engaging with data leads to stronger, more informed decisions.
Triangulating data helps cut through noise and reduces the impact of bias.
Confirmation bias can distort how data is interpreted, often reinforcing pre-held beliefs.
A sense of curiosity is critical for building data capability and staying open to insights.
Democratising data is essential for empowering people and driving success across organisations.
Being data-informed – not just data-driven – supports more thoughtful, balanced decision-making.
Data storytelling is a crucial skill for analysts to translate complexity into clarity.
Post-decision analysis is gaining traction as a key component of data literacy and growth.
Links
Website - https://www.selenafisk.com/
LinkedIn - https://www.linkedin.com/in/selenafisk/
Podcast - https://podfollow.com/makedatatalk/view
Data Cards - https://shop.selenafisk.com/product-details/product/talkingdata
Chapters
00:00 Introduction to Data Anxiety and Literacy
01:57 Challenging the 'Not a Numbers Person' Mindset
04:32 Understanding Data in Everyday Life
05:18 The Importance of Active Data Engagement
07:21 Triangulating Data for Better Decision Making
15:23 Overcoming Confirmation Bias in Data Analysis
19:22 The Role of Givers in Data Education
21:18 Fostering Data Democracy in Organisations
24:35 Aligning Organisational Goals with Data Metrics
26:26 The Importance of Being Data Informed
31:51 Navigating Data Literacy Challenges
32:06 Examples of Successful Data Transformation
42:34 The Role of Post-Decision Data
44:20 Quick Fire Insights on Data Practices
Keywords
data literacy, data anxiety, decision making, triangulating data, confirmation bias, data democratisation, data informed, data driven, data storytelling, financial literacy
In this episode of unDUBBED, Darragh Murray, a Senior Analytics and Insight Specialist, explores the integration of AI with data visualisation tools like Tableau. The discussion centres on Model Context Protocol (MCP), which allows users to query Tableau Cloud data using natural language using Claude, and demonstrate its capabilities through a live demo (so it’s best viewed on video).
You'll see Claude build its own interactive data viz, where things go wrong, and where it gets it right. The conversation delves into the future of business intelligence, the potential impact of AI on data analysis, and the evolving role of data professionals in this landscape.
Takeaways
Darragh demonstrates AI querying Tableau Cloud using natural language with Claude
Claude can create visualisations based on user prompts.
The integration of AI in BI tools is still in early stages.
Data professionals will shift from manual tasks to guiding AI.
AI can help reduce cognitive load in data analysis.
The future of BI tools is likely to be AI-driven.
Model Context Protocol (MCP) allows for seamless communication between AI and Tableau data sources.
Darragh emphasises the importance of context in data queries.
The excitement around AI in data analytics is growing.
Links
Darragh's blog with the steps to setup
Hit Machines - Iron Viz Qualifier
Brian Julius LinkedIn
Chapters
00:00 Introduction to the Episode
00:22 Introduction to AI and Data Analytics
01:45 Understanding Model Context Protocol (MCP)
04:46 Live Demo of AI Querying Tableau Cloud
10:12 Exploring the Future of Data Interaction
16:03 Security and Governance in AI Data Queries
17:06 Introduction and Technical Issues
18:51 Exploring Data Visualisation with AI
21:00 Understanding Charting Techniques
22:48 Evaluating AI-Generated Visualisations
24:51 Cognitive Load and User Preferences
26:31 The Future of Data Visualisation and AI
28:27 Exploring Data Visualisation Techniques
29:07 Demonstrating AI in Data Analysis
31:34 Integrating Visualisations with AI
33:20 Evaluating AI's Performance in Data Tasks
39:32 The Future of Business Intelligence with AI
43:07 Rapid Fire Insights on AI Usage
Keywords
AI, Tableau, Model Context Protocol, Data Visualisation, Business Intelligence, Analytics, Claude AI, Data Analysis, MCP, Future of Data
In this episode of Data unDUBBED, Sarah and Fiona engage with Matthew Miller, Senior Director of Product Management at Tableau, discussing the intersection of storytelling and data. Matthew shares his journey into the data world, the importance of storytelling in product management, and how it has influenced his career. The conversation also touches on innovations at Tableau, the role of AI in data, and the behind-the-scenes of the popular Devs on Stage event at Tableau Conference. Matthew emphasizes the need for understanding audience motivations and the power of repetition in storytelling, providing valuable insights for anyone looking to improve their storytelling skills in the data space.
Takeaways
Storytelling is essential for connecting with audiences in data.
Understanding your audience's motivations is key to effective communication.
The power of repetition helps make messages memorable.
AI can enhance human creativity rather than replace it.
Building relationships and networking can unlock career opportunities.
Innovations in data products often come from community feedback.
Public speaking is a skill that can be developed through practice.
The importance of having a supportive team in high-pressure situations.
Every product has a story that can resonate with users.
Success in product management requires understanding both technical and business perspectives.
Links
Ben Thompson - Stratechery newsletter - https://stratechery.com/
Dave Nihill - https://www.amazon.com.au/Do-You-Talk-Funny-Funnier/dp/1942952279
The Moth - https://themoth.org/podcast
This Is Not Happening - https://www.youtube.com/playlist?list=PLZAW5O34QidZh5548weUG158mGiRW4l_J
Follow Matthew Miller on LinkedIn - https://www.linkedin.com/in/matthewmarkmiller/
Chapters
00:00 Introduction to Matthew Miller and Tableau
04:30 The Power of Storytelling in Data
07:49 Matthew's Journey into Data
09:52 AI and the Future of Data
11:57 Matthew's Early Days with Tableau
14:41 Innovations and Contributions at Tableau
19:07 The Role of Storytelling in Career Growth
25:55 Influencing Product Strategy at Tableau
35:38 Lessons Learned from Starting a Business
37:59 The Importance of Mentorship and Team Dynamics
38:57 Lessons from Failure: The Impact of Co-founders
40:20 Striving for Excellence in Business
42:52 Behind the Scenes of Devs on Stage
50:23 The Art of Public Speaking and Developer Confidence
54:57 Community Engagement through Devs on Stage
57:01 Quick Fire Tips for Storytelling with Data
Keywords
data storytelling, Tableau, Matthew Miller, product management, AI, data community, storytelling techniques, executive influence, Devs on Stage, data products
In this episode of unDUBBED, hosts Fiona Gordon and Sarah Burnett explore the Consultant's Toolkit for the Modern Analyst with data experts Chris Love and Carl Allchin. They discuss their journeys into consulting, the evolution of data visualization tools like Tableau, the impact of AI on data roles, and the importance of asking the right questions in consulting. The conversation also touches on learning from data disasters, the necessity of curiosity and bravery in data analysis, and the future of data preparation with Informatica's acquisition by Salesforce.
Takeaways
The consultant mindset is essential for analysts looking to level up.
Curiosity and bravery are key traits for successful consultants.
Asking the right questions can lead to better insights and solutions.
Data visualization has evolved significantly over the years.
AI is changing the landscape of data roles and responsibilities.
Building trust with clients is crucial for effective consulting.
Learning from past data disasters can improve future practices.
The importance of data ethics is growing in the age of AI.
Data preparation skills are vital for unlocking data value.
The integration of tools like Informatica can enhance data governance.
Links
Carl Allchin https://www.linkedin.com/in/carl-allchin-9160451b/
Carl Allchin's books - https://www.preppindata.com/book
Chris Love LinkedIn - https://www.linkedin.com/in/chrisplove/
Chris' substack https://lovedatalovegrowth.substack.com/
Love Data Love Growth Podcast https://lovedatalovegrowth.substack.com/podcast
Charles Sturt University GenAI Use Paper - https://drive.google.com/file/d/1o3gzqzipVY-rpJ1qF0f5MrBJds90Azyc/view?usp=sharing
Chapters
00:00 Welcome to Undubbed
02:17 The Consultant's Journey
07:20 Early Days with Tableau
12:13 The Evolution of Data Consulting
16:12 AI and the Future of Data
25:01 Consulting Skills for Success
27:22 Transforming Presentations into Conversations
31:14 The Art of Asking Questions
34:40 Navigating Data Disasters
39:55 Pushing Back Against Pressure
45:34 Curiosity and Bravery in Consulting
47:52 The Future of Data Preparation
53:19 The Impact of Informatica Acquisition
Keywords
data consulting, Tableau, AI in analytics, data visualization, consulting skills, data ethics, data disasters, data preparation, analytics tools, data storytelling
In this episode of unDUBBED, hosts Sarah and Fiona engage with data experts Eva Murray and Andy Kriebel to explore how to future-proof a data career. They discuss the importance of continuous learning, the impact of AI on data roles, and the necessity of investing in people within organizations. The conversation also touches on the significance of soft skills, the journey from good to great in Tableau, and the role of mentoring and empathy in professional development. Listeners are encouraged to take actionable steps to enhance their careers and embrace the evolving landscape of data.
Takeaways
Future-proofing a career involves continuous learning and networking.
AI is a tool that requires critical thinking and verification.
Investing in employees can lead to better retention and performance.
Soft skills are increasingly important in data roles.
Passion and personal drive are key to becoming a great Tableau user.
Asking questions can reignite passion in your work.
Mentoring others enhances communication skills and empathy.
Evangelism in data roles can create visibility and opportunities.
Being specific in requests for help can lead to better outcomes.
Creating a dream job description can help clarify career goals.
Links
Andy’s Linkedin -https://www.linkedin.com/in/andykriebel/
Eva’s LinkedIn - https://www.linkedin.com/in/evamurray1
Next Level Tableau https://www.nextleveltableau.com/
Eva Murray Coaching - www.evamurray.co.uk
84 Charts in 80 Minutes - $10 Special - https://bit.ly/43PgPDK
A blueprint with suggested learning times for learning Tableau - https://bit.ly/3FONrWb
Chapters
00:00 Introduction to Future-Proofing Data Careers
02:59 Navigating Career Changes and Building Networks
05:00 The Impact of AI on Data Roles
08:04 Soft Skills vs. Technical Skills in Data Careers
10:47 Rediscovering Passion in Data Work
13:40 The Importance of Continuous Learning
15:47 Investing in Employee Development
18:36 The Role of Managers in Career Growth
20:04 Identifying Great Tableau Users
21:49 The Balance of Soft and Technical Skills
29:19 The Role of Evangelism in Data Careers
33:13 Mentorship and Personal Growth
38:25 Future-Proofing Your Data Career
47:58 Coaching for Career Advancement
Keywords
data career, future-proofing, AI in data, Tableau, mentoring, career coaching, investing in people, data roles, soft skills, professional development
In this episode of unDUBBED, hosts Fiona and Sarah engage with Kathryn McCrindle, an analytics consultant and Iron Viz finalist, to explore her journey into data visualization, the challenges of participating in Iron Viz, and the importance of community support. Kathryn shares insights on overcoming imposter syndrome, the design process for her dashboard, and the lessons learned from presenting in front of a large audience. The conversation highlights the significance of feedback, iteration, and the rewarding nature of focusing on a single project.
Takeaways
• Kathryn turned data storytelling into an art form.
• Iron Viz participation motivated Kathryn to push her limits.
• The importance of community support in data visualization.
• Overcoming imposter syndrome is crucial for success.
• Focusing on one dashboard for a month is rewarding.
• Feedback is essential for improving visualization skills.
• Iterating designs can lead to better outcomes.
• The pressure of presenting can enhance focus.
• Learning from competition fosters growth in the community.
• Engaging with influential figures in the field is inspiring.
Chapters
00:00 Guest intro - Iron Viz Finalist, Kathryn McCrindle
01:25 Kathryn's Journey into Data and Tableau
04:29 The Iron Viz Experience and Motivation
07:38 Designing for Iron Viz: Challenges and Inspirations
15:36 Overcoming Imposter Syndrome and Embracing Feedback
20:38 Presentation Skills and Lessons Learned
23:33 Exploring Data Visualization Elements
26:12 Designing for Impact: The Art of Visualization
28:58 Navigating Competition: Insights from Iron Viz
32:51 Networking and Community in Data Visualization
37:35 Overcoming Challenges in Data Projects
Keywords
data visualization, Iron Viz, Tableau, dashboard design, imposter syndrome, data storytelling, analytics, community support, presentation skills, visualization techniques






