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Summary In this episode, Steve Holley, a Tableau Solutions Engineer at Salesforce, shares insights on the evolving landscape of headless analytics and AI, the importance of trust and governance in data, and how organizations can adapt to rapid technological change. Keywords Data Analytics, Headless AI, Tableau, Salesforce, Data Governance, AI in Business, Data Transformation, Analytics Tools, Data Strategy key topics Headless analytics and AI Data governance and trust Real-time data insights and alerts Semantic models and data sources Organizational change management in data guest name Steve Holley Titles The Future of Headless Analytics and AI in Business How Salesforce is Shaping Headless Data Solutions Chapters 00:00 Introduction to Undubbed Podcast 02:00 Meet Steve Holley: Tableau Solutions Engineer 03:11 The Impact of AI on Data Interaction 03:28 Understanding Headless Analytics and AI 06:54 The Role of Dashboards in Data Analysis 09:56 Trust and Accuracy in AI Insights 15:16 Live Demo: Data Interaction in Slack 19:51 Understanding Dashboard Insights 21:41 Identifying At-Risk Accounts 23:33 Defining Business Rules and Context 25:49 The Role of Data Professionals 30:10 Adapting to New Data Workflows 33:31 Change Management in Data Analysis 35:31 Taking Action on Insights 41:11 Learning from Others in the Community resources Salesforce Links Official Website - https://www.salesforce.com/ Tableau Official Website - https://www.tableau.com/ Y, W A I I - Knowledge Mapping Tool - https://www.ywaii.com/ Steve's LinkedIn - https://www.linkedin.com/in/steveholley/ Steve's Twitter - https://twitter.com/steveholley

Episode Summary Dive into the evolving world of data, AI, and analytics with Will Pitzler, Director of Product Management at Tableau. This episode explores how Tableau is breaking down barriers to make insights accessible across platforms, the importance of governance, and what it actually takes to become a data-driven organisation.   In this episode, you'll learn about: ● Why leading LLMs scored just 6% on a Yale benchmark testing real enterprise databases and what that means for your AI strategy ● The role of composable data sources, the most requested feature in Tableau's history, and what they unlock for data teams ● How Tableau insights are now accessible directly inside Google Sheets, PowerPoint, Google Slides, and Word ● The uncomfortable questions around PII, data sovereignty, and governance when using MCP and third-party AI tools ● The Open Semantic Interchange initiative, what it is, why it matters, and how far away a real standard actually is ● What data leaders should actually do before their next AI project kicks off Timestamps: 00:00 - Introduction and welcome 01:22 - Will's background and role at Tableau 03:31 - Why TC26 felt different, the return to the practitioner 06:00 - The developer spectrum and Tableau's broad user base 06:30 - Tableau through the Salesforce acquisition, what's changed and what hasn't 09:42 - TC26 comes to Sydney, bringing the insights to local customers 10:32 - The Yale Spider 2.0 benchmark and the 6% problem 13:50 - Why context is everything for LLMs in enterprise environments 15:18 - PII, data sovereignty, and the governance gap in AI and MCP 18:08 - What data leaders are actually telling Will on the ground 19:39 - Open Semantic Interchange, the industry's attempt at a common standard 21:17 - Two schools of thought on how Tableau handles semantic layers 23:23 - Delegated semantics, Tableau's interim approach 26:06 - How the data market has gone in circles, monolithic to modern and back again 28:30 - Composable data sources, the most requested feature in Tableau's history 33:10 - Governance and ways of working as teams move faster 35:25 - The last mile problem, insights shouldn't live only inside Tableau 38:44 - Staying in the flow, self-service where people actually work 39:32 - The tension between AI text outputs and data visualisation 42:02 - Demo begins, third party integrations overview 44:38 - Demo: Tableau inside PowerPoint 46:09 - The timestamp feature and refreshing slides on demand 47:19 - Salesforce internal use case, automating operational reporting 50:40 - Why live dashboards weren't the answer 52:06 - Demo: Tableau inside Google Sheets 55:27 - Using published data sources in Google Sheets 56:58 - Licensing and permissions 57:22 - Pushing data back into Tableau from Google Sheets 59:48 - The Henry Ford problem, what customers say vs. what they need 1:02:28 - Closing question: What should a data leader actually do? 1:03:16 - Where to find Will 1:03:38 - Fi and Sarah's closing takeaways   Resources & Links: Connect with Will on LinkedIn https://www.linkedin.com/in/will-pitzler-603b915b/ Spider 2.0 Benchmark, Yale https://spider2-sql.github.io/ Tableau Add-on for Google Workspace https://www.tableau.com/blog/improve-collaboration-tableau-google-workspace Tableau App for Microsoft 365 https://www.tableau.com/blog/meet-tableau-app-for-microsoft-365-word-powerpoint-teams

Summary Fresh from Tableau Conference 2026, Fi and Sarah sit down with Kirk and Candi Munroe - co-founders of Paint with Data, a Tableau consultancy and Salesforce partner based in Canada - to unpack what's actually coming for Tableau and what it means for the people making decisions about their data teams. Kirk brings 25 years in business analytics, a newly minted Tableau Visionary title, as well as a Tableau Ambassador and a book on data modelling in Tableau. Candi is a Visual Analytics specialist, four-time Tableau User Group Ambassador, and heads up the Canada Tableau User Group. Between them, they've seen every era of Tableau - and they're genuinely excited about this one. The conversation covers Tableau Solve and its write-back and forecasting potential, the Viz layers that will let you layer multiple data sources on a single chart axis, composable data sources and why they're the missing piece in Tableau's semantic layer story, agentic analytics and what it actually takes to make natural language querying work in practice, Tableau MCP - including a cautionary tale about a CPM field that cost 58 cents a query - and what the Devs on Stage roadmap means for the data leaders who need to decide what comes next for their teams. Takeaways Tableau Solve productionises record-level triage and forecasting - and write-back is finally coming, with Kirk calling it "way, way, way overdue" Chart Layers will allow multiple data sources to sit on the same XY axis without any joining, opening up time series comparisons and complex formatting that previously required workarounds Tableau Server is getting genuine love - including LLM features - signalling that Tableau sees it as a long-term platform, not a migration waiting to happen Composable data sources let analysts extend a published data source on the fly without touching the original, and because everything is relationship-based, nothing already built gets broken Well-governed, well-commented data sources are now a prerequisite for agentic analytics - without them, the AI will guess wrong and cost you money (Kirk's CPM example is a must-hear) Tableau MCP is already live, easy to set up in Claude Desktop in under three minutes, and keeps row-level security intact - but you need your own personal access token, not a service account AI-assisted field descriptions get you 90-95% of the way there - the blank box problem is real, and the AI solves it The Tableau Desktop Authoring API is in its third release, and style guide automation - padding, corner rounding, colour palette - is close Headless BI and Slack-first data experiences are coming, and they matter most for the people who will never naturally log into Tableau Data leaders should position themselves as connective glue across departments - spotting correlations between silos that no single team can see Chapters 00:00 Introduction to Tableau Conference 2026 Highlights 01:52 Meet the Experts: Kirk and Candi 03:32 Exciting Announcements from TC26 05:40 Tableau Solve: Enhancements and Features 07:52 The Importance of Write-Back Functionality 09:31 Map and Chart Layers: A New Era in Visualization 11:51 Tableau Server vs. Tableau Cloud: The Future 13:19 Tab Move: Streamlining the Transition to Cloud 15:05 Accessibility Features in Tableau 15:18 Composable Data Sources: Unlocking New Potential 20:47 Optimizing Data Integration in Tableau 22:17 The Future of Composable Data Sources 24:22 Leveraging AI for Data Management 26:30 The Role of AI in Data Exploration 26:31 Understanding Agentic Analytics 29:52 Implementing Tableau MCP Effectively 34:24 Designing for Consistency in Data Visualization 36:54 Evolving Data Governance and Ethics 38:31 Exploring New Features in Tableau 39:08 The Future of Data Integration and Collaboration 48:26 Building a Data-Driven Organization 50:41 The Role of Data Leaders as Consultants   Links Kirk Munroe on LinkedIn: https://www.linkedin.com/in/kirkmunroe/ Candi Munroe on LinkedIn: https://www.linkedin.com/in/candimunroe/ Paint with Data: https://paintwithdata.com Paint with Data Blog: https://www.paintwithdata.com/blog Data Modeling with Tableau by Kirk Munroe: https://www.amazon.com/Data-Modeling-Tableau-practical-building/dp/1803248025 Kirk Munroe on the Flerlage Twins blog: https://www.flerlagetwins.com/2023/01/data-.html TC26 Devs on Stage: https://www.salesforce.com/plus/experience/tableau_conference_2026/series/tableau_conference_2026_highlights/episode/episode-s1e25 Watch TC26 on demand: https://www.salesforce.com/plus/experience/tableau_conference_2026 Fi Crocker on LinkedIn: https://www.linkedin.com/in/ficrocker/ Sarah Burnett on LinkedIn: https://www.linkedin.com/in/sezbee/ Keywords Tableau Conference 2026, TC26, Tableau Solve, composable data sources, agentic analytics, Tableau MCP, Viz layers, chart layers, write-back Tableau, Tableau Visionary, data governance, Tableau Cloud, Tableau Server, AI in Tableau, semantic layer Tableau, data leadership, data leaders, Paint with Data, Kirk Munroe, Candi Munroe, Tableau data modelling, headless BI, Slack analytics, Tableau Desktop Authoring API, row-level security, Tableau prep, published data sources, Dub Dub Data, unDUBBED podcast

Summary Fresh off the stage at Tableau Conference 2026, Sarah Burnett and Fiona Crocker bring their live TC26 session straight to the unDUBBED audience. Their session was called Building a Data Culture with Datafluencers, and the whole premise is this: the best data work in most organisations will never be seen - not because it isn't good enough, but because nobody told the story. They walk through why brilliant work disappears, who is responsible for fixing it, and the practical tools to start changing that this week. The centrepiece is the seven-part data story arc, walked through using Freshmart, a fictional wholesale food chain where waste was above target despite accurate data and capable teams.  Whether you're a data analyst whose work isn't getting the recognition it deserves, a manager trying to build a data culture, or someone who's ever built a dashboard that nobody used - this episode is for you.   Takeaways The gap between delivery and adoption is where great data work disappears - and it's a storytelling problem, not a data problem Great work goes invisible for three reasons: no channel, no story, and no leaders to promote it A Datafluencer isn't a job title - it's a set of behaviours that makes work visible, shareable, and heard The seven-part data story arc gives a repeatable structure: hook, problem, insight, solution, result, learning, call to action One dashboard reframe - not a rebuild - saved Freshmart 2.4 tonnes of waste and $672,000 in annualised costs in six weeks A public data wins channel builds culture over time - people stop lurking and start contributing when the space feels worth being in Amplification is the step most people skip - make it one click for your manager, then prompt them to take it higher   Chapters 00:00 Introduction to Data Culture and Datafluencers 01:24 Understanding Why Data Work Goes Invisible 03:19 The Role of Datafluencers in Amplifying Work 05:39 Framework for Effective Data Storytelling 08:10 Building a Winning Channel for Data 10:56 Amplification and Cultural Impact of Data 13:43 Conclusion and Call to Action   Links Data Fluencer Toolkit - https://www.dubdubdata.com/offers/iU2dFRBd/checkout Fi Crocker on LinkedIn - https://www.linkedin.com/in/ficrocker/ Sarah Burnett on LinkedIn - https://www.linkedin.com/in/sezbee/   Keywords data culture, Datafluencer, data storytelling, data visibility, Tableau Conference 2026, TC26, data story arc, dashboard adoption, seen heard promoted, data leadership

In this episode of unDUBBED, we’re joined by Cole Nussbaumer Knaflic, founder of Storytelling with Data and one of the most influential voices in data storytelling and data visualisation. Cole shares practical, real-world insights on why data often fails to drive decisions - even when the analysis is right - and how to shift from simply showing data to actually influencing outcomes. From her journey through banking and Google’s People Analytics team to building a global data storytelling movement, this conversation is packed with actionable techniques to help you communicate data with clarity, purpose, and impact.   🔑 Main Topics Why data fails to drive decisions - and how to fix it The shift from showing data to explaining data Audience-first thinking in data storytelling Structuring communication using the narrative arc The role of iteration, feedback, and time in crafting data stories When to use dashboards vs storytelling The risks and realities of AI in data visualisation   📌 In This Episode Cole’s journey from banking to Google and founding Storytelling with Data How data visualisation became a critical business communication skill Why designing for yourself (not your audience) is the biggest mistake in data The difference between exploring data vs explaining data How to use titles, annotations, and contrast to guide attention The power of low-fidelity prototyping and iteration for alignment Why most data presentations follow a “selfish” structure - and how to fix it Using the narrative arc to create tension and drive action How to develop a clear “Big Idea” before building anything The role of AI in data storytelling - speed vs risk, and hallucinations Common chart mistakes, including unnecessary detail and poor audience focus ⏱️ Chapters 00:00 - Introduction to data storytelling with Cole Nussbaumer Knaflic 02:12 - Cole's journey from banking to data visualization at Google 03:45 - The importance of clear visual communication in business 06:46 - Teaching data visualization at Google and creating impact 08:45 - The storytelling ecosystem: books, workshops, community 10:48 - Making data concepts accessible and engaging 13:33 - The collaborative process behind “Storytelling with Data: Before and After” 17:17 - The power of the “before and after” in data improvement 18:10 - The storytelling process as a “glow up” for data 19:01 - Tools and techniques for rapid prototyping and iteration 20:41 - Strategies for understanding the audience and customizing communication 23:52 - Using low-tech methods for stakeholder alignment 27:03 - Balancing detail with clarity: avoiding overwhelm 29:54 - Differentiating between storytelling and dashboards 33:10 - Structuring data communication as a narrative arc 36:39 - The importance of concise messaging and annotations 46:16 - Layering information to enhance understanding 50:52 - Developing the “Big Idea”: clear, impactful core message 55:43 - The role of AI and machine-generated charts in modern data storytelling 64:10 - Common chart crimes and things to stop doing 64:47 - Final takeaways: prioritize audience understanding and time 66:09 - Resources, books, and ways to connect with Cole   🔗 Resources & Links Storytelling with Data → https://www.storytellingwithdata.com Storytelling with Data: Before and After (book) → https://www.storytellingwithdata.com/before-and-after Daphne Draws Data → https://daphnedrawsdata.com Tableau → https://www.tableau.com Figma → https://www.figma.com AI tools → https://claude.ai   | https://chat.openai.com   🔗 Connect with Cole Nussbaumer Knaflic LinkedIn → https://www.linkedin.com/in/colenussbaumerknaflic Website → https://www.storytellingwithdata.com 🧠 Key Takeaways Data alone doesn’t drive decisions - clear communication does If your audience doesn’t know what to do, your data has failed Start with the audience and the action, not the analysis Use storytelling to create tension, clarity, and direction AI can accelerate workflows - but human judgment remains critical

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