unDUBBED

unDUBBED

By Fiona Crocker & Sarah Burnett | co-founders, dub dub dataBusinessTechnologyManagement
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unDUBBED episodes

  • D31 How to Run a Workshop That Doesn’t Suck (Facilitation Tips That Work)

    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

        1 hr
      • D30 Tableau Next & Data360: Why Salesforce Customers Should Pay Attention
        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

          1 hr 7 min
        • D22 The 80/20 Rule of AI: Smarter Decisions, Faster Innovation with Craig Turrell
          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/

             


            1 hr 9 min
          • D29 Tableau IronViz Secrets: Storytelling, Colour Theory and Cultural Connections (Part 2)

            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 Moore
            LinkedIn: 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.

             

            1 hr 13 min
          • D28 Tableau IronViz Secrets: Storytelling, Colour Theory and Cultural Connections

            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 Visualization
            37:26 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

            1 hr 8 min
          • D27 Tableau Next: A New Mindset for Analytics
            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

              42 min
            • D26 One Year In: The Real Lessons Behind Building a Data Consultancy

              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.

              43 min
            • D25 Strategic Career Loops: Creating Value Beyond Certifications with Genevieve Hayes
              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

                49 min
              • D24 Why Founders Say No A$$hole Policy Works + Other Startup Lessons - Hosted by Matthew Miller
                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

                    57 min
                  • D23 Cloud-Ready, Stress-Free: Why TabMove is the Fastest Way to Migrate Tableau
                    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

                       

                       
                      56 min

                    About unDUBBED

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