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D38 Building Data Culture with Datafluencers
In this episode of unDUBBED, hosts Sarah Burnett and Fi Crocker bring their live Tableau Conference 2026 session straight to the podcast. Their session - Building a Data Culture with Datafluencers - tackles one of the most persistent problems in data work: brilliant analysis that nobody ever sees.
Between them, Sarah and Fi have spent decades inside some of the world's largest organisations and delivered projects with more than $65 million in ROI. The core truth they keep running into: the best data work will never be seen - not because it isn't good enough, but because nobody told the story.
The episode walks through why great work disappears, who is responsible for fixing it (spoiler: it's not your manager), and a practical framework you can use this week. The centrepiece is the seven-part data story arc - hook, problem, insight, solution, result, learning, call to action - brought to life through Freshmart, a fictional wholesale food chain with a very real problem. Despite accurate data and capable teams, waste kept climbing. The fix wasn't a model rebuild or new tooling. It was reframing the first dashboard tab from "how did we perform" to "what becomes waste if nothing changes."
Key Takeaways:
● The gap between delivery and adoption is where great data work disappears - and it's a storytelling problem, not a data problem
● The gap between delivery and adoption is where great data work disappears - and it's a storytelling problem, not a data problem
● Great work goes invisible for three reasons: no channel, no story, and no leaders to promote it
● A Datafluencer isn't a job title - it's a set of behaviours that makes work visible, shareable, and promoted
● The seven-part data story arc is a repeatable structure any data professional can use immediately
● One dashboard reframe - not a rebuild - saved Freshmart 2.4 tonnes of waste and $672,000 in annualised costs in six weeks
● A public data wins channel builds culture over time - people stop lurking and start contributing when the space feels worth being in
● Amplification is the step most people skip - make it one click for your manager, then prompt them to take it higher
● The Datafluencer Toolkit course is free, covers everything in this episode end to end, and includes a rebrandable carousel template
Links:
Data Fluencer Toolkit: https://www.dubdubdata.com/offers/iU2dFRBd/checkout
Fi Crocker on LinkedIn: https://www.linkedin.com/in/ficrocker/
Sarah Burnett on LinkedIn: https://www.linkedin.com/in/sezbee/
Keywords:
data culture, Datafluencer, data storytelling, data visibility, Tableau Conference 2026, TC26, data story arc, dashboard adoption, data wins channel, amplification strategy, seen heard promoted, data leadership, Dub Dub Data, unDUBBED podcast, building data culture, data team visibility, data analyst career
TL;DR:
Sarah and Fi brought their TC26 session to the podcast - and if you weren't in the room in San Diego, this is your chance to hear it. It's a practical, no-fluff playbook for making your data work impossible to ignore.
Видео D38 Building Data Culture with Datafluencers канала dub dub data
Between them, Sarah and Fi have spent decades inside some of the world's largest organisations and delivered projects with more than $65 million in ROI. The core truth they keep running into: the best data work will never be seen - not because it isn't good enough, but because nobody told the story.
The episode walks through why great work disappears, who is responsible for fixing it (spoiler: it's not your manager), and a practical framework you can use this week. The centrepiece is the seven-part data story arc - hook, problem, insight, solution, result, learning, call to action - brought to life through Freshmart, a fictional wholesale food chain with a very real problem. Despite accurate data and capable teams, waste kept climbing. The fix wasn't a model rebuild or new tooling. It was reframing the first dashboard tab from "how did we perform" to "what becomes waste if nothing changes."
Key Takeaways:
● The gap between delivery and adoption is where great data work disappears - and it's a storytelling problem, not a data problem
● The gap between delivery and adoption is where great data work disappears - and it's a storytelling problem, not a data problem
● Great work goes invisible for three reasons: no channel, no story, and no leaders to promote it
● A Datafluencer isn't a job title - it's a set of behaviours that makes work visible, shareable, and promoted
● The seven-part data story arc is a repeatable structure any data professional can use immediately
● One dashboard reframe - not a rebuild - saved Freshmart 2.4 tonnes of waste and $672,000 in annualised costs in six weeks
● A public data wins channel builds culture over time - people stop lurking and start contributing when the space feels worth being in
● Amplification is the step most people skip - make it one click for your manager, then prompt them to take it higher
● The Datafluencer Toolkit course is free, covers everything in this episode end to end, and includes a rebrandable carousel template
Links:
Data Fluencer Toolkit: https://www.dubdubdata.com/offers/iU2dFRBd/checkout
Fi Crocker on LinkedIn: https://www.linkedin.com/in/ficrocker/
Sarah Burnett on LinkedIn: https://www.linkedin.com/in/sezbee/
Keywords:
data culture, Datafluencer, data storytelling, data visibility, Tableau Conference 2026, TC26, data story arc, dashboard adoption, data wins channel, amplification strategy, seen heard promoted, data leadership, Dub Dub Data, unDUBBED podcast, building data culture, data team visibility, data analyst career
TL;DR:
Sarah and Fi brought their TC26 session to the podcast - and if you weren't in the room in San Diego, this is your chance to hear it. It's a practical, no-fluff playbook for making your data work impossible to ignore.
Видео D38 Building Data Culture with Datafluencers канала dub dub data
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