unDUBBED

Summary In this episode of UnDUBBED, hosts Sarah Burnett and Fiona Crocker sit down with Craig Turrell, to unpack the realities of enterprise AI transformation. From the concept of AI native architecture to the gap between AI hype and real-world adoption, Craig shares hard-won insights from decades at the cutting edge of AI, machine learning, and data science.   You’ll hear why machine communication and cultural influences on AI personalities matter for business, how financial institutions are leveraging AI innovation in highly regulated environments, and why leadership must drive a culture of learning and experimentation. Craig also explores the future of business intelligence, where generative AI meets data storytelling and user-centric design. If you’re navigating the challenges of AI adoption, leadership in data-driven organisations, or the next wave of business intelligence, this conversation is packed with takeaways you can apply today. Book a free 30-minute strategy session with us to explore how AI and data can accelerate your goals.   Takeaways Craig Turrell emphasises the importance of AI native architecture in enterprise settings. The conversation highlights the disparity between AI hype and its actual implementation in organisations. Craig's journey showcases the evolution of AI technologies over decades. The need for organisations to understand machine communication for effective AI deployment is crucial. Cultural influences shape the personality and responses of AI models. AI transformations in financial institutions can lead to significant efficiency gains. Leadership plays a vital role in fostering a culture of learning and innovation in AI. The future of business intelligence lies in integrating AI with traditional data practices. User experience design is essential for effective AI applications. Continuous curiosity and a willingness to learn are key traits for success in AI.    Chapters 00:00 Introduction to Enterprise AI Transformation 01:37 Craig Turrell's Journey in AI and Innovation 04:58 The Hype Cycle and Reality of AI Implementation 08:51 Understanding Machine Communication and Interaction 12:27 Exploring Machine Personalities and Cultural Influences 18:12 AI Transformations in Banking: A Case Study 25:45 Navigating Innovation in a Regulated Environment 35:58 The Power of Language in Business Communication 36:56 Acceptance of AI in Leadership 38:56 Generative Intelligence vs. Traditional Business Intelligence 40:29 The Importance of Storytelling in Data 42:37 Data Literacy and Its Impact on Decision Making 45:12 Personalizing Business Intelligence for Diverse Needs 46:19 The Future of Business Intelligence 53:35 Leadership and Team Dynamics in the Age of AI 01:01:01 Cultivating a Learning Culture in Organisations   Keywords AI, enterprise AI, AI native architecture, machine learning, data science, finance innovation, leadership in AI, business intelligence, cultural influences on AI, AI communication   Links Craig Turrell on LinkedIn: https://www.linkedin.com/in/craig-turrell-9b002665/  

Featuring: Brian Moore, Varun Jain, Kinsey Miller & Louis Yu In Part 2 of our Iron Viz deep-dive, we unpack how top Tableau creators bring data to life through storytelling, colour theory, design aesthetics, and cultural connections. This episode is best viewed on YouTube or Spotify Video. This episode explores the creative and technical decisions behind some of the most memorable Iron Viz feeder entries - where food, gaming, and visual storytelling collide. We sit down with four standout data viz designers from the Tableau community: Brian Moore, Varun Jain, Kinsey Miller and Louis Yu. Together, we explore how they use AI tools for data collection, build custom colour palettes, apply thoughtful typography, and craft narratives that turn raw data into immersive visual experiences. If you’re passionate about data visualization, designing in Tableau, or understanding what it really takes to compete on the Iron Viz stage, this episode is packed with insights you can immediately apply to your next dashboard.   ⭐ What You’ll Learn 1. Iron Viz as a Creative Playground • How Iron Viz pushes creators to blend creativity, analytics, and storytelling. • The emotional highs and lows of designing under pressure - iteration, doubt, breakthroughs.   2. Storytelling That Connects • Techniques for transforming complex datasets into clear, cohesive narratives. • Why personal and cultural connections make data more meaningful and memorable.   3. Design Aesthetics That Matter • How to use colour theory to guide attention and highlight insights. • Choosing an accessible, intentional colour palette (including colour-blind friendly options). • Typography tips for improving readability, hierarchy, and visual rhythm. • The role of layout, composition, and hand-drawn elements in creating atmosphere.   4. Data Collection, AI Tools & Workflow • How creators gathered data on food, gaming, nutrition, ingredients and cultural context. • When AI tools streamline research and when manual curation matters. • Practical lessons from unexpected data challenges.   5. Food, Culture & Gaming • How food in video games has evolved across decades. • Why cultural influences shape visualization choices and storytelling direction. • How sensory memories - taste, smell, nostalgia - enhance narrative impact.   6. Community, Feedback & Iteration • How peer feedback and the wider Tableau community elevate the work. • Why iteration is the secret to polished design and stronger storytelling.    Chapters 00:00 Introduction to Iron Viz and Brian Moore 01:34 Building the Background in Tableau 06:06 Colour Customization Techniques 12:18 Data Collection and Storytelling in Visualization 13:44 Varun Jain’s Journey in Data Visualization 15:14 Leveraging AI Tools for Data Extraction 18:48 Design Aesthetics in Data Visualization 24:47 Typography and Hierarchy in Visualizations 28:21 Aiming for the Iron Viz Stage 29:51 Introduction to Kinsey Miller and Iron Viz 31:39 Data Engineering for Iron Viz 35:48 Visual Design Choices and Inspirations 40:53 Colour Theory and Dashboard Aesthetics 47:02 Final Thoughts and Conclusion 49:27 Introduction to Lewis Yu 50:31 Concept Behind Louis’s Iron Viz Submission 54:33 Design Choices & Storytelling 59:13 Food in Video Games: Visual Trends 01:03:21 The Evolution of Cooking in Games 01:06:54 Research Process & Data Collection 01:11:14 Future Insights 01:11:42 Celebrating Creativity & Community 01:12:25 The Long-Term Impact of Participating in Iron Viz   🎤 Featured Creators & Their Work Brian MooreLinkedIn: https://www.linkedin.com/in/bm111/ Viz: https://public.tableau.com/app/profile/brian.moore7221/viz/TheConfectionConnection/TheConfectionConnection Varun Jain LinkedIn: https://www.linkedin.com/in/varunjain113/ Viz: https://public.tableau.com/app/profile/varun.viz.vorkshop/viz/WhatsforDinnerTonightIronViz2026/viz Kinsey Miller LinkedIn: https://www.linkedin.com/in/kinseynicolemiller/ Viz: https://public.tableau.com/app/profile/kinsey.n.miller/viz/CocktailCalculator/CocktailCalculator Louis Yu LinkedIn: https://www.linkedin.com/in/yulouis/ Viz: https://public.tableau.com/app/profile/louisyu/viz/PlayingwithFoodIronViz/Evolution   🎧 Perfect For You If… • You love Tableau, data visualization, or dashboard design. • You're prepping for Iron Viz or want to understand how the best designers think. • You’re looking to level up your storytelling, colour usage, typography, or design process. • You’re fascinated by food, gaming, culture, and creative data stories.  

This episode dives deep into the world of Tableau's IronViz Feeder competition, exploring how top creators transform data into meaningful stories. The unDUBBED team are delighted to host datafam members: Kevin Wee, Ann Pregler, Heather Cox and Kimly Scott. Each guest shares their process - from concept to design to iteration - revealing the emotional, cultural, and technical layers behind their IronViz entries. You’ll learn how food becomes a canvas for storytelling, how colour guides perception, and why accessibility and personal connections elevate data work. Whether you're a tenured data viz professional or a newcomer ready to learn, this conversation will spark new ideas, sharpen your design instincts, and fuel your storytelling craft. Part 1 of a 2 part series.   Key Takeaways // IronViz as a Creative Catalyst * How IronViz challenges participants to merge creativity, analysis, and storytelling. * The emotional journey behind each entry, including uncertainty, iteration, and breakthrough moments // Storytelling That Resonates * Why relatable narratives and personal connections make data more accessible and engaging. * How to transform complex or overwhelming datasets into cohesive stories. // Effective Design Techniques * How to apply colour theory deliberately to guide perception and highlight insights. * The use of typography, modular grids, golden ratios, and hand-drawn design elements. * Why accessibility matters, from colour-blind friendly palettes to alt text and contrast considerations.   // Food, Culture and Meaning * How cultural backgrounds influence the way data creators approach food-themed topics. * The role of memory, heritage and sensory experience in shaping a visualisation’s narrative.   // Iteration and Feedback * How continuous refinement improves both storytelling and design. * The value of peer feedback and community support throughout the creative process. // Data Collection and Practical Challenges * How creators gather and analyse data on nutrition, ingredients, recipes and cultural context. * When to simplify and when to deepen analysis to serve the story. Chapters 00:00 Introduction to Kevin Wee and Iron Viz 03:05 Exploring Dim Sum: A Culinary Journey 07:26 Design Principles in Data Visualization 11:26 Data Sourcing and Analysis Challenges 16:32 Cultural Connection and Personal Insights 19:57 Introduction to Heather Cox and Iron Viz 22:58 The Journey of Creating a Mocktail Visualization 25:31 The Social Impact of Non-Alcoholic Drinks 28:27 Design Inspirations and Technical Challenges 31:22 The Broader Implications of Data Visualization 33:25 Introduction to Anne Pregler and IronViz Submission 34:16 Crafting a Cohesive Story in Data Visualization37:26 Design Elements and Typography Choices 42:42 Accessibility in Data Visualization 44:15 Intentional Use of Color in Design 46:00 Introduction to Kimley Scott and Her Achievements 47:24 The Inspiration Behind Kimley's Visualization 51:37 Design Choices and Aesthetic Balance 54:34 Techniques for Effective Visualization 57:23 The Art of Storytelling in Visualizations 59:40 Linking Food, Memory, and Emotion 01:04:07 Personal Touch in Data Storytelling 01:06:17 The Passion Behind Creativity 01:06:51 Diving Deeper into Craft and Storytelling Links: Connect with Kevin on LinkedIn Connect with Ann on LinkedIn Connect with Heather on LinkedIn Connect with Kimly on LinkedIn View Kevin's Submission View Ann's Submission View Heather's Submission View Kimly's Submission The Colorblindly plugin

Summary In this episode of Undubbed, Fiona and Sarah explore Tableau Next, a revolutionary analytics platform from Salesforce. They discuss its new features, including a complete redesign of the analytics experience, the introduction of agentic analytics, and the importance of a human-centered approach to technology. The conversation delves into the four layers of Tableau Next, the role of AI in analytics, and strategies for building a data-driven culture within organizations. The hosts also share insights from a recent hackathon, highlighting innovative use cases and the potential ROI for businesses adopting Tableau Next. Takeaways Tableau Next represents a significant evolution in analytics. The platform integrates seamlessly with Salesforce, enhancing user experience. Agentic analytics allows for deeper insights without overwhelming users. The semantic layer provides business context to data, making it more accessible. Organizations should focus on building a data-driven culture to maximize analytics adoption. Starting small with proof of concepts can lead to greater success. Continuous analytics will shift the focus from static reports to real-time insights. The human element is crucial in leveraging AI for analytics effectively. Collaboration across departments is essential for a unified data strategy. Investing in training and change management is key to successful analytics implementation. Chapters 00:00 Introduction to Tableau Next 01:18 Overview of Tableau Next Features 03:55 Understanding the Four Layers of Tableau Next 05:37 The Role of Agentic Analytics 17:18 Data 360 and Semantic Layer Insights 21:19 The Human Angle in AI Integration 23:08 Shifting Work Dynamics with AI 26:43 Building a Culture of Adoption 30:25 Creating Trust through Data Visibility 31:36 Maximizing ROI with Tableau Next 34:50 The Future of Continuous Analytics 39:05 Advice for Chief Data Officers 40:50 Conclusion: A New Mindset for Analytics   Links Tableau Tim's Tableau Next Channel Kirk Munroe: So What is Tableau Next? Kirk Munroe: Tableau Next Part 2: Data Cloud & Tableau Semantics   Learn Tableau Next on Trailblazer   Tableau Next Hackathon Grand Prize Winners: (Tableau) Next Question Tableau Next Hackathon Most Creative Winners: team-bratwurst Tableau Next Hackathon Most Impactful Winners: Agentic Analytics Readiness Tableau Next Hackathon Best Design Winners: Transparency in Treatment   Keywords Tableau Next, analytics, data visualization, agentic analytics, data culture, ROI, continuous analytics, Tableau Hackathon

In this special anniversary episode of unDUBBED, Fiona and Sarah celebrate one year of running their data consultancy, Dub Dub Data. They pull back the curtain on the real journey of entrepreneurship - from perfectionism and self-doubt to building a trusted partnership and managing clients with confidence. The conversation dives deep into business growth, data consulting, and the personal transformations that come with leaving corporate life to build something from scratch. Fiona and Sarah share candid reflections on the early decisions that shaped their business, the power of feedback, and how open communication has helped them navigate challenges and strengthen their partnership. They also unpack what it really takes to succeed in consultancy - from setting boundaries with clients to embracing imperfection, redefining success, and learning when to say no. Whether you’re dreaming of launching your own data consultancy or looking to refine your approach to client management and business growth, this episode is packed with practical lessons and real talk from two entrepreneurs who’ve lived it.   💡 Key Takeaways ● Build trust through open communication in partnerships. ● Perfectionism kills momentum - focus on progress over polish. ● Adapting from corporate to consultancy life requires a mindset shift. ● Set and adjust goals regularly to stay aligned and agile. ● Know when to say no - not every client is the right fit. ● Navigating setbacks can unlock powerful growth and resilience. ● Define clear client boundaries from the start. ● Celebrate milestones and the relationships that fuel your journey. ● Feedback drives both personal and professional growth. ● Success is built on authenticity, community, and purpose.   🕒 Chapters 00:00 — Celebrating One Year of Dub Dub Data 02:00 — Foundational Decisions and Early Lessons 05:19 — The Pursuit of Perfection 08:39 — Mental Shifts in Consulting Life 13:16 — Goal Setting and Prioritisation 16:25 — Knowing When to Say No 19:20 — Our Biggest ‘Oh Shit’ Moments 21:34 — Building Success Through Challenges 23:21 — Managing Client Relationships and Expectations 26:02 — Moments of Validation in Business 28:16 — Reflections on Podcasting and Community 32:26 — Personal Growth and Sacrifices 35:12 — Learning Through Feedback 37:48 — Looking Ahead: Growth and Gratitude   TL;DR: Join Fiona and Sarah from Dub Dub Data as they celebrate one year of building their data consultancy. From perfectionism and client management to business growth and feedback, this honest conversation reveals what it really takes to succeed in consultancy and entrepreneurship.

Summary In this episode of unDUBBED, hosts Fiona and Sarah engage with Dr. Genevieve Hayes, a data scientist and entrepreneur, to discuss the evolving landscape of careers in data science. They explore the shift from traditional career paths to strategic career loops, emphasizing the importance of creating value beyond mere technical skills. Genevieve shares her journey from academia to industry, the significance of expanding roles within organizations, and the necessity of effective communication between technical and business stakeholders. The conversation also highlights the value of micro-credentials, the importance of lifelong learning, and practical advice for navigating career pivots in the data field.   Takeaways The shift from traditional career paths to strategic career loops is essential. Creating value in data roles goes beyond collecting certifications. Expanding your role can create new opportunities within your organization. Effective communication is crucial for bridging the gap between technical and business stakeholders. Quick win projects can help identify opportunities and build momentum. Lifelong learning is vital for career advancement in data science. Micro-credentials can provide targeted skills without the need for extensive degrees. Positioning yourself as a solution to future problems can enhance career prospects. Celebrating successes and communicating value is important for data professionals. Focusing on business skills is more beneficial than solely pursuing technical skills.    Chapters 00:00 Introduction to Data Career Evolution 01:51 Genevieve's Journey: From Academia to Data Science 06:13 Expanding Roles: Navigating Corporate Structures 08:29 Overcoming Hurdles: Pitching New Ideas 11:41 Creating Value: The Role of Data Professionals 14:07 Becoming a Strategic Contributor 18:04 Identifying Opportunities in Data Science 19:49 Understanding Client Needs vs. Wants 23:58 Developing Systems for Ordinary Data Scientists 26:01 Navigating Career Transitions in Data Science 26:24 The Power of Micro-Credentials 29:48 Identifying Future Opportunities in AI 35:58 The Evolution of Career Roles 37:55 The Importance of Communication Skills 40:06 Making Career Pivots 42:19 Common Career Development Mistakes 45:05 Rapid Fire Insights   Links Genevieve Hayes LinkedIn https://www.linkedin.com/in/gkhayes/ Value Drive Data Science Podcast https://valuedrivendatascience.com/    Keywords data science, career loops, value creation, micro-credentials, AI opportunities, lifelong learning, communication skills, career pivots, data professionals, strategic contributor

Summary In this episode of unDUBBED, the tables are turned! Matthew Miller - Vice President of Product Management at Salesforce and long-time champion of the Tableau community - takes over as guest host to interview Sarah Burnett and Fiona Crocker, the co-founders of Dub Dub Data. Together, they explore their entrepreneurial roots, early business lessons, and the defining moments that shaped their careers. Expect stories of selling chocolate bars at boarding school, running nightclubs, and rediscovering your superpower in business. The conversation dives deep into: Cultural contrasts between New Zealand, Australia, and the U.S. - and how they shape communication and collaboration. Client relationships that thrive on trust, transparency, and shared problem-solving. The evolution of the data analyst - from dashboard designer to semantic-layer strategist. How AI, Tableau Next, and Model Context Protocol (MCP) are reshaping the future of data visualisation. The no-asshole policy behind Dub Dub Data’s culture - and what happens when values truly drive growth. Dream hires, lessons from corporate life, and how they’d spend a $5M seed fund. Matthew draws out the personal and professional threads that make Dub Dub Data tick - from Fiona’s unrelenting problem-solving and deal-making to Sarah’s people-first storytelling superpower. It’s part origin story, part strategy masterclass, and 100% heart.   Takeaways Matthew Miller hosts the episode, flipping the script on the usual format. Sarah and Fiona share their entrepreneurial backgrounds and influences. Fiona's early experiences include selling chocolate bars and tinting eyelashes. Sarah's entrepreneurial journey began later in life, inspired by conversations with Fiona. Both co-founders identify their superpowers in business and how they complement each other. They discuss the importance of client relationships and the type of clients they seek. The conversation touches on the evolution of the analyst role in data analytics. Cultural differences between New Zealand and Australia are explored. Fiona shares lessons learned from her childhood entrepreneurial experiences. The duo discusses their vision for Dub Dub Data and their approach to funding.   Links Tableau Medium Data - https://youtu.be/fEyrlgcBGzQ?si=O0LP_WjU4zN6GUub Tableau Next Hackathon Entry - Craig Bloodworth - https://youtu.be/j-ie_FPH6OM?si=gCZpLQcJgTbaqIo_ Model Context Protocol in Tableau - Darragh Murray - https://youtu.be/N1qPGS3vkxc?si=1tfI6teJqE1msVF7 LinkedIn - Follow Geoffrey Smolders, CEO Biztory - https://www.linkedin.com/in/geoffreysmolders/ Biztory - https://www.biztory.com/   Chapters 00:00 Introduction and Backgrounds 02:01 Entrepreneurial Roots and Early Experiences 04:13 Identifying Superpowers in Business 06:53 Client Relationships and Business Philosophy 08:50 Navigating Change and Market Adaptation 10:41 The Role of Analysts in Evolving Data Landscape 13:31 Cultural Differences and Personal Insights 28:20 Cultural Nuances in Problem-Solving 30:18 Lessons from International Experiences 30:36 Entrepreneurial Fears and Family Impact 35:03 Building the Dream Team 43:44 Funding Decisions and Company Ethos 49:07 R&D Focus and Future of Tableau 53:00 Data Visualization Insights   Keywords unDUBBED, entrepreneurship, data analytics, Tableau, business philosophy, client relationships, cultural differences, funding, data visualization

TL;DR: Migrating from Tableau Server to Tableau Cloud is complex, risky, and costly when done manually. TabMove automates up to 90% of migration tasks - cutting timelines, reducing errors, and lowering costs. With Dub Dub Data and Biztory, organisations in Australia, New Zealand, and Singapore gain a proven three-step migration model, local expertise, and fixed-price peace of mind.   Summary Migrating to Tableau Cloud doesn’t have to mean chaos, broken permissions, or endless IT tickets. In this episode of unDUBBED, Fi and Sarah sit down with Timothy Vermeiren - Tableau Iron Viz Champion, consultant, and architect at Biztory - to unpack how TabMove is changing the game for organisations moving from Tableau Server to Tableau Cloud. From automating 90% of the migration work (think users, permissions, schedules, favourites) to cutting timelines from weeks down to days (for smaller migrations), TabMove takes the pain out of replatforming. Timothy shares the biggest blockers companies face, why legacy server setups are holding teams back, and real-world stories like Veygo’s lightning-fast migration. You’ll also hear how Dub Dub Data and Biztory have partnered to bring TabMove to APAC - giving Australia, New Zealand, and Singapore customers local expertise with global best practice. If you’ve ever dreaded the thought of “not another migration,” this episode is your roadmap to a faster, cleaner, and smarter move to the cloud.   Takeaways Manual Tableau migrations are complex, risky, and costly. Tableau Cloud offers lower TCO, better scalability, and access to the newest features. TabMove automates up to 90% of the migration workload, including content, users, groups, and permissions. Timothy’s three-step delivery model - scoping, workshop, delivery - de-risks projects and ensures success. Dub Dub Data and Biztory are partnering to deliver TabMove migrations across Australia, New Zealand and Singapore.   Chapters: 00:00 Introduction to Migration Challenges 01:18 Meet Timothy Vermeiren and TabMove 02:56 The Case for Migration to Tableau Cloud 04:58 Understanding the Benefits of Tableau Cloud 06:43 Challenges of Manual Migration 08:44 Hidden Costs of Legacy On-Prem Solutions 10:11 Automation with TabMove 12:43 Managing Permissions and User Access 23:56 Automating Migration Processes 26:54 Understanding Migration Challenges 28:45 Comparing Migration Tools 35:46 Case Study: Veygo's Rapid Migration 38:29 The Role of Tableau Administrators 41:27 Customer Outcomes Post-Migration 44:37 Three-Step Delivery Model 51:00 Ongoing Support After Migration    

Summary In this thought-provoking episode of unDUBBED, hosts Fiona Crocker and Sarah Burnett sit down with Dr. Mark Powell - psychologist, bestselling author of The Mind Beyond the Machine, global keynote speaker, and Head of Private Cloud Data Delivery at Standard Chartered Bank - to explore the powerful intersection of AI, psychology, human behaviour, and leadership. Mark brings a rare blend of cutting-edge technology strategy and human-first leadership, shaped by decades of leading billion-dollar tech transformations and a deep understanding of how mindset and behaviour influence success. Together, we unpack how AI reflects human consciousness, why our fears often say more about us than the technology, and how leaders can adapt, evolve, and thrive in a rapidly changing world.   Takeaways AI and human behaviour: Why AI is a mirror to our own thinking - and why unexamined mindsets may be a bigger risk than the technology itself Mindset in the age of AI: How reframing fear into opportunity can fuel personal growth and professional innovation Authenticity and leadership: Why authentic human contribution still matters - and how to protect it in an AI-saturated world Ethics and accountability: The role of governance, design principles, and human oversight in ensuring AI is used responsibly The growth mindset in action: How to use AI as an ally to enhance creativity, productivity, and learning, not replace them Practical change management for yourself: Why you need to be your own coach, set tangible goals, and reward your progress   Chapters 00:00 Introduction to Undubbed Podcast 01:25 Mark Powell's Journey: From Psychology to Tech Transformation 08:53 The Writing Process: A Human Perspective on AI 13:14 Navigating Anxiety in the Age of AI 25:59 Authenticity and Human Contribution in a Tech-Driven World 33:14 The Importance of Listening and Communication 34:13 Navigating the Chaos of Learning 36:49 Change Management and Self-Improvement 38:44 The Power of Mindset and Reframing 42:31 Ethics and Accountability in AI 48:47 Teaching Machines: Understanding vs. Remixing Noise 58:28 Building AI: Escaping Limits or Understanding Them? 01:01:18 Embracing Opportunity in a Messy World   Links Connect with Mark: https://www.linkedin.com/in/markpowellpsy/ Mark’s website: https://www.markpowellonline.com/ Buy Mark’s Book: The Mind Beyond the Machine Dub Dub Data - Helping leaders make sense of data, AI and change without losing the human part. Website | LinkedIn   Keywords AI, psychology, technology transformation, human behavior, ethics, leadership, change management, authenticity, data, growth mindset

In this episode of unDUBBED, hosts Sarah Burnett and Fi Crocker sit down with Brian Tancock, Partner at Neurodiverse You, for a powerful and eye-opening conversation about neurodiversity in the workplace. Brian shares his personal journey from international banking across London, Singapore, and Hong Kong to becoming a leading neurodiversity advocate and mental health supporter. Drawing from his lived experience with ADHD, Brian unpacks the challenges neurodivergent professionals face in today’s work environments - from rigid hiring processes and communication barriers to leadership blind spots that impact team performance. You’ll learn practical, actionable strategies for inclusive leadership, creating supportive workplace cultures, and tailoring recruitment and management practices to unlock the potential of diverse minds. This discussion is a must-listen for leaders, managers, HR professionals, and anyone in the data and analytics community committed to building truly inclusive teams. If you value workplace inclusion, mental health awareness, and neurodiversity advocacy, hit LIKE, SUBSCRIBE, and share this episode with colleagues. To explore how Dub Dub Data can help your organisation build an inclusive, data-driven culture, visit us at https://www.dubdubdata.com/   Takeaways Neurodiversity is relevant in various professional fields. Personal experiences shape our understanding of workplace dynamics. Transitioning careers can lead to new opportunities for growth. Empathy and understanding are crucial in workplace interactions. Communication styles must be adapted for neurodiverse individuals. Inclusive hiring practices benefit organizations as a whole. Leaders should foster open communication and trust with their teams. Mental health support is essential for all employees. Recognizing individual backstories can enhance workplace culture. Small accommodations can lead to significant improvements in productivity.   Links Neurodiverse You: https://neurodiverseyou.com Connect with Brian: https://www.linkedin.com/in/briantancock/   Chapters 00:00 Introduction to Neurodiversity in Business 01:08 Brian Tancock's Journey from Banking to Neurodiversity 04:01 Transitioning to a Supportive Environment 06:27 Understanding Neurodiversity and Its Impact 08:36 Navigating Workplace Challenges 11:33 The Role of Organizations in Supporting Neurodiversity 13:12 The Importance of Communication and Support 15:55 Addressing Undiagnosed Neurodiversity 17:53 Creating Inclusive Workplaces 20:21 The Future of Neurodiversity in Business 31:27 Building a Culture of Listening 33:07 Inclusive Hiring Practices 36:14 Flexibility in the Workplace 40:06 Communication and Leadership 43:10 Understanding Employee Needs 45:54 Creating Safe Spaces for Conversations 49:43 Cultural Sensitivity in Neurodiversity 53:09 The Impact of Leadership on Neurodiverse Employees 57:30 Adapting Communication Styles 01:02:00 Reflection and Growth in Leadership 01:03:21 The Importance of Inquiring About Backstories   Keywords neurodiversity, workplace, mental health, inclusivity, leadership, hiring practices, communication, support strategies

  In this episode of unDUBBED, hosts Sarah and Fiona sit down with Dr Selena Fisk, author of I Am Not a Numbers Person, to unpack the widespread issue of data anxiety and the growing need for data literacy and data fluency in today’s data-saturated world. Together, they explore how societal beliefs around numbers and maths anxiety can undermine data-informed decision-making, and why building confidence with data is essential for individuals at every level. The conversation dives into key concepts like curiosity in data, the dangers of confirmation bias, and the power of triangulating multiple data sources to uncover reliable insights. Selena also highlights the importance of developing a data culture and fostering data conversations that bridge the gap between data analysts and business stakeholders. Through the lens of data democratisation, the trio discuss practical strategies for making data accessible, understandable, and actionable across organisations. They emphasise the role of data storytelling, critical thinking, and the shift from being data-driven to being truly data-informed. The episode wraps up with a forward-looking discussion on the evolution of data literacy programs, and how teams can build habits around using pre-decision and post-decision data to evaluate impact and drive continuous improvement.   Takeaways Data anxiety is a widespread issue that can impact how decisions are made. Challenging the mindset of being “not a numbers person” is key to building confidence with data. Actively engaging with data leads to stronger, more informed decisions. Triangulating data helps cut through noise and reduces the impact of bias. Confirmation bias can distort how data is interpreted, often reinforcing pre-held beliefs. A sense of curiosity is critical for building data capability and staying open to insights. Democratising data is essential for empowering people and driving success across organisations. Being data-informed – not just data-driven – supports more thoughtful, balanced decision-making. Data storytelling is a crucial skill for analysts to translate complexity into clarity. Post-decision analysis is gaining traction as a key component of data literacy and growth.   Links Website - https://www.selenafisk.com/ LinkedIn - https://www.linkedin.com/in/selenafisk/ Podcast - https://podfollow.com/makedatatalk/view Data Cards - https://shop.selenafisk.com/product-details/product/talkingdata   Chapters 00:00 Introduction to Data Anxiety and Literacy 01:57 Challenging the 'Not a Numbers Person' Mindset 04:32 Understanding Data in Everyday Life 05:18 The Importance of Active Data Engagement 07:21 Triangulating Data for Better Decision Making 15:23 Overcoming Confirmation Bias in Data Analysis 19:22 The Role of Givers in Data Education 21:18 Fostering Data Democracy in Organisations 24:35 Aligning Organisational Goals with Data Metrics 26:26 The Importance of Being Data Informed 31:51 Navigating Data Literacy Challenges 32:06 Examples of Successful Data Transformation 42:34 The Role of Post-Decision Data 44:20 Quick Fire Insights on Data Practices   Keywords data literacy, data anxiety, decision making, triangulating data, confirmation bias, data democratisation, data informed, data driven, data storytelling, financial literacy

In this episode of unDUBBED, Darragh Murray, a Senior Analytics and Insight Specialist, explores the integration of AI with data visualisation tools like Tableau. The discussion centres on Model Context Protocol (MCP), which allows users to query Tableau Cloud data using natural language using Claude, and demonstrate its capabilities through a live demo (so it’s best viewed on video). You'll see Claude build its own interactive data viz, where things go wrong, and where it gets it right. The conversation delves into the future of business intelligence, the potential impact of AI on data analysis, and the evolving role of data professionals in this landscape.   Takeaways Darragh demonstrates AI querying Tableau Cloud using natural language with Claude Claude can create visualisations based on user prompts. The integration of AI in BI tools is still in early stages. Data professionals will shift from manual tasks to guiding AI. AI can help reduce cognitive load in data analysis. The future of BI tools is likely to be AI-driven. Model Context Protocol (MCP) allows for seamless communication between AI and Tableau data sources. Darragh emphasises the importance of context in data queries. The excitement around AI in data analytics is growing.   Links Darragh's blog with the steps to setup  Hit Machines - Iron Viz Qualifier Brian Julius LinkedIn   Chapters 00:00 Introduction to the Episode 00:22 Introduction to AI and Data Analytics 01:45 Understanding Model Context Protocol (MCP) 04:46 Live Demo of AI Querying Tableau Cloud 10:12 Exploring the Future of Data Interaction 16:03 Security and Governance in AI Data Queries 17:06 Introduction and Technical Issues 18:51 Exploring Data Visualisation with AI 21:00 Understanding Charting Techniques 22:48 Evaluating AI-Generated Visualisations 24:51 Cognitive Load and User Preferences 26:31 The Future of Data Visualisation and AI 28:27 Exploring Data Visualisation Techniques 29:07 Demonstrating AI in Data Analysis 31:34 Integrating Visualisations with AI 33:20 Evaluating AI's Performance in Data Tasks 39:32 The Future of Business Intelligence with AI 43:07 Rapid Fire Insights on AI Usage   Keywords AI, Tableau, Model Context Protocol, Data Visualisation, Business Intelligence, Analytics, Claude AI, Data Analysis, MCP, Future of Data

In this episode of Data unDUBBED, Sarah and Fiona engage with Matthew Miller, Senior Director of Product Management at Tableau, discussing the intersection of storytelling and data. Matthew shares his journey into the data world, the importance of storytelling in product management, and how it has influenced his career. The conversation also touches on innovations at Tableau, the role of AI in data, and the behind-the-scenes of the popular Devs on Stage event at Tableau Conference. Matthew emphasizes the need for understanding audience motivations and the power of repetition in storytelling, providing valuable insights for anyone looking to improve their storytelling skills in the data space.   Takeaways Storytelling is essential for connecting with audiences in data. Understanding your audience's motivations is key to effective communication. The power of repetition helps make messages memorable. AI can enhance human creativity rather than replace it. Building relationships and networking can unlock career opportunities. Innovations in data products often come from community feedback. Public speaking is a skill that can be developed through practice. The importance of having a supportive team in high-pressure situations. Every product has a story that can resonate with users. Success in product management requires understanding both technical and business perspectives.   Links Ben Thompson - Stratechery newsletter - https://stratechery.com/ Dave Nihill - https://www.amazon.com.au/Do-You-Talk-Funny-Funnier/dp/1942952279 The Moth - https://themoth.org/podcast This Is Not Happening - https://www.youtube.com/playlist?list=PLZAW5O34QidZh5548weUG158mGiRW4l_J Follow Matthew Miller on LinkedIn - https://www.linkedin.com/in/matthewmarkmiller/   Chapters 00:00 Introduction to Matthew Miller and Tableau 04:30 The Power of Storytelling in Data 07:49 Matthew's Journey into Data 09:52 AI and the Future of Data 11:57 Matthew's Early Days with Tableau 14:41 Innovations and Contributions at Tableau 19:07 The Role of Storytelling in Career Growth 25:55 Influencing Product Strategy at Tableau 35:38 Lessons Learned from Starting a Business 37:59 The Importance of Mentorship and Team Dynamics 38:57 Lessons from Failure: The Impact of Co-founders 40:20 Striving for Excellence in Business 42:52 Behind the Scenes of Devs on Stage 50:23 The Art of Public Speaking and Developer Confidence 54:57 Community Engagement through Devs on Stage 57:01 Quick Fire Tips for Storytelling with Data   Keywords data storytelling, Tableau, Matthew Miller, product management, AI, data community, storytelling techniques, executive influence, Devs on Stage, data products

In this episode of unDUBBED, hosts Fiona Gordon and Sarah Burnett explore the Consultant's Toolkit for the Modern Analyst with data experts Chris Love and Carl Allchin. They discuss their journeys into consulting, the evolution of data visualization tools like Tableau, the impact of AI on data roles, and the importance of asking the right questions in consulting. The conversation also touches on learning from data disasters, the necessity of curiosity and bravery in data analysis, and the future of data preparation with Informatica's acquisition by Salesforce.   Takeaways The consultant mindset is essential for analysts looking to level up. Curiosity and bravery are key traits for successful consultants. Asking the right questions can lead to better insights and solutions. Data visualization has evolved significantly over the years. AI is changing the landscape of data roles and responsibilities. Building trust with clients is crucial for effective consulting. Learning from past data disasters can improve future practices. The importance of data ethics is growing in the age of AI. Data preparation skills are vital for unlocking data value. The integration of tools like Informatica can enhance data governance.   Links Carl Allchin https://www.linkedin.com/in/carl-allchin-9160451b/ Carl Allchin's books - https://www.preppindata.com/book Chris Love LinkedIn - https://www.linkedin.com/in/chrisplove/ Chris' substack https://lovedatalovegrowth.substack.com/ Love Data Love Growth Podcast https://lovedatalovegrowth.substack.com/podcast Charles Sturt University GenAI Use Paper - https://drive.google.com/file/d/1o3gzqzipVY-rpJ1qF0f5MrBJds90Azyc/view?usp=sharing   Chapters 00:00 Welcome to Undubbed 02:17 The Consultant's Journey 07:20 Early Days with Tableau 12:13 The Evolution of Data Consulting 16:12 AI and the Future of Data 25:01 Consulting Skills for Success 27:22 Transforming Presentations into Conversations 31:14 The Art of Asking Questions 34:40 Navigating Data Disasters 39:55 Pushing Back Against Pressure 45:34 Curiosity and Bravery in Consulting 47:52 The Future of Data Preparation 53:19 The Impact of Informatica Acquisition   Keywords data consulting, Tableau, AI in analytics, data visualization, consulting skills, data ethics, data disasters, data preparation, analytics tools, data storytelling

In this episode of unDUBBED, hosts Sarah and Fiona engage with data experts Eva Murray and Andy Kriebel to explore how to future-proof a data career. They discuss the importance of continuous learning, the impact of AI on data roles, and the necessity of investing in people within organizations. The conversation also touches on the significance of soft skills, the journey from good to great in Tableau, and the role of mentoring and empathy in professional development. Listeners are encouraged to take actionable steps to enhance their careers and embrace the evolving landscape of data.   Takeaways Future-proofing a career involves continuous learning and networking. AI is a tool that requires critical thinking and verification. Investing in employees can lead to better retention and performance. Soft skills are increasingly important in data roles. Passion and personal drive are key to becoming a great Tableau user. Asking questions can reignite passion in your work. Mentoring others enhances communication skills and empathy. Evangelism in data roles can create visibility and opportunities. Being specific in requests for help can lead to better outcomes. Creating a dream job description can help clarify career goals.   Links Andy’s Linkedin -https://www.linkedin.com/in/andykriebel/ Eva’s LinkedIn - https://www.linkedin.com/in/evamurray1 Next Level Tableau https://www.nextleveltableau.com/ Eva Murray Coaching - www.evamurray.co.uk 84 Charts in 80 Minutes - $10 Special - https://bit.ly/43PgPDK A blueprint with suggested learning times for learning Tableau - https://bit.ly/3FONrWb   Chapters 00:00 Introduction to Future-Proofing Data Careers 02:59 Navigating Career Changes and Building Networks 05:00 The Impact of AI on Data Roles 08:04 Soft Skills vs. Technical Skills in Data Careers 10:47 Rediscovering Passion in Data Work 13:40 The Importance of Continuous Learning 15:47 Investing in Employee Development 18:36 The Role of Managers in Career Growth 20:04 Identifying Great Tableau Users 21:49 The Balance of Soft and Technical Skills 29:19 The Role of Evangelism in Data Careers 33:13 Mentorship and Personal Growth 38:25 Future-Proofing Your Data Career 47:58 Coaching for Career Advancement   Keywords data career, future-proofing, AI in data, Tableau, mentoring, career coaching, investing in people, data roles, soft skills, professional development

In this episode of unDUBBED, hosts Fiona and Sarah engage with Kathryn McCrindle, an analytics consultant and Iron Viz finalist, to explore her journey into data visualization, the challenges of participating in Iron Viz, and the importance of community support. Kathryn shares insights on overcoming imposter syndrome, the design process for her dashboard, and the lessons learned from presenting in front of a large audience. The conversation highlights the significance of feedback, iteration, and the rewarding nature of focusing on a single project. Takeaways • Kathryn turned data storytelling into an art form. • Iron Viz participation motivated Kathryn to push her limits. • The importance of community support in data visualization. • Overcoming imposter syndrome is crucial for success. • Focusing on one dashboard for a month is rewarding. • Feedback is essential for improving visualization skills. • Iterating designs can lead to better outcomes. • The pressure of presenting can enhance focus. • Learning from competition fosters growth in the community. • Engaging with influential figures in the field is inspiring.   Chapters 00:00 Guest intro - Iron Viz Finalist, Kathryn McCrindle 01:25 Kathryn's Journey into Data and Tableau 04:29 The Iron Viz Experience and Motivation 07:38 Designing for Iron Viz: Challenges and Inspirations 15:36 Overcoming Imposter Syndrome and Embracing Feedback 20:38 Presentation Skills and Lessons Learned 23:33 Exploring Data Visualization Elements 26:12 Designing for Impact: The Art of Visualization 28:58 Navigating Competition: Insights from Iron Viz 32:51 Networking and Community in Data Visualization 37:35 Overcoming Challenges in Data Projects   Keywords data visualization, Iron Viz, Tableau, dashboard design, imposter syndrome, data storytelling, analytics, community support, presentation skills, visualization techniques

In this episode of unDUBBED, Sarah and Fi discuss the essential insights that non-data leaders should understand about data teams. They explore the evolving nature of data projects, the importance of clarity in dashboards, the misconception of dashboards as a comprehensive solution, the often invisible success of data teams, and the critical role of training in retaining talent and enhancing performance. TAKEAWAYS Data projects require ongoing iteration and adaptation. Clarity in dashboards is a result of thoughtful design. Leaders should share the impact of data products with the teams who delivered them Give time to teams to analyse the ROI of data products  If something looks off, set up a call to discuss the data miss, it may be a source system error Dashboards should serve specific strategies, not be catch-alls. Data teams often work invisibly, yet their efforts are crucial. Training is a strategic investment that enhances team performance.    

In this episode of unDUBBED, Fi and Sarah unpack their highlights from Tableau Conference 2025. Broadcasting from opposite sides of the Tasman, they dive into everything from the keynote announcements and Devs on Stage innovations to the emotion-charged Iron Viz showdown. Along the way, they reflect on the state of the Tableau community, the shift toward agentic AI, and what the future holds for data storytelling, design, and development. Key Takeaways • Tableau Conference 2025 was hosted virtually, showcasing cutting-edge innovations in analytics. • The keynote centred around advancements in AI and introduced Tableau Next. • Energy in the keynote felt more subdued than in previous years, possibly due to the room setup and livestream format. • Tableau Next promises feature parity with Tableau Desktop, designed with a web-first approach. • Devs on Stage delivered big-time with in-database Tableau Prep flows, smarter “Show Me” suggestions, and a revamped visual interface. • Iron Viz highlighted the power of storytelling in data, with tributes and talent on display. • Community engagement felt fragmented this year, with less traction across social platforms. • Consumption-based pricing models were teased for Tableau Next – potentially a game-changer for smaller teams and freelancers. • Accessibility and inclusive design in data visualisation came up repeatedly as key themes. • Fi and Sarah shared their excitement for what’s ahead – especially new Tableau APIs and how the community might rally in this next chapter.   Links Tableau Conference Keynote - https://youtu.be/ROwf5jS1MZY?si=EsQwIAZSs4wSgDvB Devs on Stage - https://youtu.be/8sNHKl2tkMg?si=uFfQXZenAdA77cnG Iron Viz - https://youtu.be/X82_Ehg7xqI?si=Mcx9llK8d2N96RnR Tableau Blueprint - https://www.tableau.com/learn/blueprint Slack Community - https://www.tableau.com/community/slack Ken & Kevin - How to do cool stuff in Tableau: https://www.youtube.com/watch?v=M7ci9hLvO44 Tore & Nhung - Speed Tipping - https://www.salesforce.com/plus/experience/tableau_conference_2025/series/learning_at_tableau_conference_2025/episode/episode-s1e8 Tristan - Beyond the Boundaries of Tableau - https://www.salesforce.com/plus/experience/tableau_conference_2025/series/datafam_at_tableau_conference_2025/episode/episode-s1e10 Pablo - Colour Mastery: https://www.salesforce.com/plus/experience/tableau_conference_2025/series/learning_at_tableau_conference_2025/episode/episode-s1e10 Episode Chapters 00:00 Welcome to Tableau Conference 2025 Recap 01:12 Keynote Highlights and Observations 06:32 Exciting Developments in Tableau Next 10:48 Devs on Stage: A Showcase of Innovation 10:59 Diving into the Labs: Future Features 23:15 Exploring Authoring Extensions API 29:39 Exploring New APIs and Community Excitement 30:14 Tableau Pulse Research Agent: Insights and Concerns 32:31 The Sketch Tool: Innovation or Confirmation Bias? 34:46 Iron Viz: A Celebration of Data Storytelling 43:25 Diving into Iron Viz: Contestants and Their Stories

In this episode of unDUBBED, Sarah Burnett and Fi Gordon explore the growing trend of fractional consulting, particularly in the data space. They discuss the challenges of traditional hiring models in the fast-paced business environment, the unique benefits of fractional leadership, and what makes a great fractional consultant. The conversation emphasizes the importance of delivering outcomes, building trust, and the strategic advantages of leveraging fractional consultants to navigate organizational change and drive results without the overhead of full-time hires. Takeaways • Fractional consulting is a response to the fast pace of change in organizations.• Hiring full-time data leaders can be expensive and risky.• Fractional consultants provide leadership without long-term commitment. • The focus of fractional consulting is on delivering specific outcomes. • Building trust quickly is essential for fractional consultants. • Organizations need to understand that fractional consultants are there to enable, not replace.• Effective fractional consultants bring experience and frameworks to the table.• The fractional model allows for agility in scaling teams up or down. • Clear communication and alignment with executives are crucial for success. • Fractional consulting can be a cost-effective way to test strategies before full implementation. Links Check out our Fractional Leadership Blog here  Chapters 00:00 Introduction to Fractional Consulting 02:24 The Shift in Hiring Practices 04:58 Understanding Fractional Consulting 06:36 Defining the Role of Fractional Consultants 08:39 The Global Shift Towards Fractional Leadership 11:06 Qualities of a Great Fractional Consultant 13:03 The Difference Between Fractional and Traditional Consulting 14:39 Leveraging the Fractional Model 16:50 Balancing Fractional Leadership with Business Needs 18:29 Red Flags in Fractional Consulting 19:24 Building Trust as a Fractional Consultant 21:34 Unique Aspects of Fractional Consulting 25:13 When Not to Go Fractional 26:16 Deciding Between Fractional and Full-Time Consulting 27:52 Getting Started with Fractional Consulting

In this episode of unDUBBED, hosts Fi and Sarah engage with Andy Cotgreave, a prominent figure in data storytelling and the senior Data Evangelist at Tableau. The conversation explores the nuances of data visualisation, the significance of storytelling in data, and the challenges faced in the field. Andy shares insights from his career, including his experiences with Iron Viz, the world's largest data visualisation competition, and discusses the importance of effective presentations and the role of leaders in fostering a data-driven culture. The episode concludes with rapid-fire questions that reveal Andy's thoughts on various aspects of data and visualisation.   LINKS Prefer to watch? Click here to view on YouTube   TAKEAWAYS • Data storytelling is essential for making data relatable and impactful. • Iron Viz has evolved into a flagship event for data visualisation. • Effective presentations require clarity and focus on key insights. • Data evangelism involves influencing culture and promoting data usage within organisations. • Common mistakes in data storytelling include failing to highlight key insights and overloading slides with information. • Ad hoc questions often drive more insights than standardised dashboards. • Leaders play a crucial role in fostering a data-driven culture and making data accessible. • Using tools like Tableau can empower non-analysts to explore data effectively. • The right visualisation depends on the audience and the story being told. • Continuous learning and adaptation are vital in the ever-evolving field of data.   CHAPTERS 00:00 Introduction to Data Storytelling and Andy Cotgreave 02:21 The Impact of Iraq's Bloody Toll on Data Visualisation 05:00 The Evolution of Data Evangelism 07:57 Iron Viz: The Premier Data Visualisation Competition 10:23 Defining Data Evangelism 13:17 The Journey of Storytelling in Data 15:10 Common Mistakes in Data Storytelling 20:42 Building Confidence in Presentations 23:40 The Art of Giving Feedback 29:20 Tools for Data Analysis 34:45 The Role of Leaders in Data Evangelism 43:47 Rapid Fire Questions with Andy Cotgreave 44:14 The Journey of Contestants in Data Visualisation 46:18 The Quest for Quality Data Sets 48:22 Influential Data Visualisations and Their Impact 51:13 Debunking Myths in Data Storytelling 54:51 Memorable Moments in Data Visualisation 57:25 Data Visualisation as a Magic Trick 01:00:45 Closing Thoughts and Future Endeavors   KEYWORDS data storytelling, data visualisation, Iron Viz, data evangelism, Tableau, presentation skills, data analysis, storytelling techniques, data culture, data insights