unDUBBED

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. 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.   Keywords 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   Chapters 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 53:12 Quick Fire Round: Insights and Opinions 56:11 Key Takeaways and Final Thoughts   Links Amanda Makulec website - https://www.amandamakulec.com/ Amanda Makulec LinkedIn - https://www.linkedin.com/in/abmakulec/ Andy Cotgreave LinkedIn - https://www.linkedin.com/in/acotgreave/ How to Speak Data - https://howtospeakdata.com/ How to Speak Data Newsletter - https://acotgreave.substack.com/ Andy's YouTube - https://www.youtube.com/channel/UCqhn4yE-8QS3U1b7Jn1WItQ   Dashboards That Deliver - https://www.dashboardsthatdeliver.com/ Viz Responsibly (Amanda's Substack) - https://vizresponsibly.substack.com/ Chart Chat Newsletter - https://chartchatlive.substack.com/ Data Visualisation Society - https://www.datavisualizationsociety.org/ Amanda's Nightingale article - https://nightingaledvs.com/has-data-storytelling-reached-its-peak/ 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

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.A HUGE THANK YOU to the following Tableau Ambassadors who contributed to the content shared:Sarah Pallett, Celia Fryar, Sam Batchelor and Sudhaa Ramakrishnan   Chapters 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. 10:37 – Exploring Community Engagement and NetworkingThe 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 ConferenceWhat 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.   Links Tableau Conference 2026 – Official Site & Info Register for Tableau Conference 2026 Tickets Don't Miss Our Session - Building Data Culture with Datafluencers  The Famous Flerlage Twins present How to Do Cool Stuff in Tableau 2026 Every Dev Can Learn from Andy Kriebel &  Jeff Schaffer - Speed Tipping: Return of the GOATs TC26 Session Catalogue  Data + Tacos (TC26 Pre-Game Event) Registration Data + Women (TC26 Pre-Game Event) Registration Why Attend Tableau Conference (Convince Your Boss)  Iron Viz - What's it About?

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. Great managers remove obstacles, deliver no surprises at review time, and show up consistently for their people. Chapters 00:00 Introduction to Confidence in Data Analysis 02:55 Building a Community of Confident Analysts 05:45 The Role of Teaching and Engagement 08:42 Andy Kriebel's Journey to Coaching 11:28 The Importance of Soft Skills in Data Analysis 14:00 Creating a Supportive Learning Environment 16:23 Nurturing Confidence Through Environment 19:10 Career Transitions and Building Skills 22:36 Navigating Career Changes 27:28 The Importance of Active Participation 33:19 Learning Through Observation 36:24 Thinking Like Tableau 39:35 Key Traits of a Great Consultant Links Next Level Tableau - https://nextleveltableau.com/ Andy Kriebel on LinkedIn - https://www.linkedin.com/in/andykriebel/ Tableau Public Profile of Andy Kriebel - https://public.tableau.com/profile/andy.kriebel DataIQ Top 100 Influential People in Data - https://www.dataiq.co.uk/top-100-influential-people-in-data Keywords Data Visualization, Tableau, Data Training, Community Building, Soft Skills, Data Career, Analytics Confidence

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