The Data Malarkey Podcast

Sam Knowles
  • 5.0 (4)
  • MARKETING
  • UPDATED FORTNIGHTLY

The Data Malarkey podcast – and it's audio-visual twin, the Data Malarkey Show on YouTube – a must-listen, must-watch resource of brilliant data storytelling. If only there were more people in the world with the pragmatic approach taken by my guests, well, there'd be rather less data malarkey about.

  1. How the four-day week boosts sleep, wellbeing, and output with Charlotte Rae

    16 HR AGO

    How the four-day week boosts sleep, wellbeing, and output with Charlotte Rae

    The four-day week gets talked about a lot, but what happens when you stop talking about the  theory and start measuring impact properly? In this episode of Data Malarkey - the podcast about using data, smarter - Master Data Storyteller, Sam Knowles, speaks to Charlotte Rae, Associate Professor in Psychology at the University of Sussex. Charlotte is one of the UK's leading quantitative researchers on the impact of the four-day working week. She explains how the Sussex 4 Day Week research project studies real employers, real staff, and real outcomes to understand what changes when businesses move to working time reduction. From productivity and sleep to motivation, meetings, AI, and whether the "honeymoon effect" wears off, this is a brilliant conversation about what the evidence says and where the practical challenges still sit. In this episode, you'll learn: The difference between working time reduction, compressed hours, and part-time working How the Sussex 4 Day Week programme helps businesses prepare, trial, and measure results Why productivity rose by around 8% on average in the trial period Why improved sleep appears to be linked to improved productivity How motivation and behaviour change drive better output in less time Which sectors and business sizes are best suited to shorter working weeks Why most four-day week businesses do not simply shut on Fridays How AI may help enable shorter working weeks, but only if used in a structured way Topics we cover: Four-day week models explained Measuring productivity, wellbeing, burnout, sleep, and motivation Why little tweaks often beat big grand changes The role of rest, recovery, and hobbies Sector differences: knowledge work, manufacturing, care, rota-based businesses Which non-working day businesses choose most often Long-term stickability of the four-day week Whether AI could accelerate working time reduction About the guest: Charlotte Rae is an Associate Professor in Psychology at the University of Sussex and leads the Sussex 4 Day Week research project. With a background in psychology and neuroscience, she applies a rigorous, data-driven approach to studying how shorter working weeks affect productivity, wellbeing, and workplace performance. Links and resources mentioned: Sussex Four Day Week: https://sussex4dayweek.co.uk  Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com

    55 min
  2. Why comms teams fail, even with great tools | Dino Delić

    28 APR

    Why comms teams fail, even with great tools | Dino Delić

    What if the problem is not your tool? In this episode of the Data Malarkey podcast, Master Data Storyteller, Sam Knowles, speaks with Dino Delić of Meltwater, the global leader in media intelligence. Sam and Dino cover data, comms, capability-building, AI, and why too many teams are still using powerful tools to produce underwhelming outcomes. Dino is sharp, direct, gloriously opinionated, and obsessed with helping people stop hiding behind "best practices" and start solving the right problem. They explore why data often fails to drive action inside organisations, how comms teams can become more strategically useful, why AI is creating both huge opportunity and total chaos, and why capability matters far more than buying the latest shiny thing. In this episode, you'll learn: Why Dino hates the phrase "best practices" Why most teams are not held back by their tools How to start with the real moment of frustration, not generic advice Why the CEO's priorities should shape your data communications strategy How to turn reporting into decision-making Why AI can massively help, but only if you know what good looks like already Why most people are still "the cat chasing the laser pointer" How Dino thinks about capability, experimentation, and constant improvement   Topics we cover: Dino's background from Bosnia to Australia to the US Sales, persuasion, and making ideas land Why "tool + skills + resources" matters The difference between collecting data and using data Why AVEs and lazy measurement still hang around AI hype, maturity, and common mistakes Meltwater's Run Club, newsletter, and open learning approach Why communicators need debate, not just agreement About the guest: Dino Delić is Strategic Customer Advisor at Meltwater. He works at the intersection of communications, data, measurement, enablement, and customer success, helping teams turn information into action and become more effective, persuasive, and data-driven in the work they do. Links and resources mentioned: Meltwater's Data Driven Communications Run Club and newsletter - https://community.meltwater.com/p/ddc Follow Dino Delić on LinkedIn - https://www.linkedin.com/in/dinodelic/   Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com

    57 min
  3. From Skype to delivery robots: Ahti Heinla on data, deep tech and solving the last mile problem

    15 APR

    From Skype to delivery robots: Ahti Heinla on data, deep tech and solving the last mile problem

    Ahti Heinla has built category-defining tech in two completely different worlds. First, he helped architect Skype, making internet communication simple enough to spread like wildfire. Then he co-founded Starship Technologies, tackling the "last mile problem" with autonomous delivery robots that work in real streets, real weather, and with real world chaos. Along the way, Ahti shares what Estonia got right with digital infrastructure, why "small beats slow", and why he's worried the world is drifting away from facts. In this episode, you'll learn: Why Estonia became a tech flywheel, and what secure digital infrastructure unlocks The early objections to Skype and why they were reasonable at the time How network effects helped Skype spread, fast What "last mile delivery" really is, and why it's the inefficient bit What makes autonomous delivery deep tech, not "just another app" Why Starship Technologies' robots are designed to be friendly but not human The biggest data challenge Ahti sees today: people ignoring data Why post-truth worries him, even with better tools than ever Topics we cover: Estonia's digital ID, online voting, and startup culture Skype's origin story and early market timing Speed vs the establishment, network effects, culture challenges at scale Starship's view of logistics and automating the last mile Real world robotics constraints: weather, regulation, competition Data culture, machine learning, and decision-making Civic tech and environmental initiatives Post-truth, misinformation, and fact-based leadership About the guest: Ahti Heinla is the CEO and co-founder of Starship Technologies, the global leader in autonomous last mile delivery. He was also a founding engineer and Chief Technical Architect at Skype, having spent decades building software and systems that scale. Links and resources mentioned: Starship Technologies website – https://www.starship.xyz The Let's Do It World! campaign – https://en.wikipedia.org/wiki/Let%27s_Do_It!_World Citizen OS – https://citizenos.com Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com

    46 min
  4. "Equality FC": Karen and Charlie Dobres on Lewes FC, equity, attention, and the imbalance in FA Cup prize money between the men's and women's competitions

    1 APR

    "Equality FC": Karen and Charlie Dobres on Lewes FC, equity, attention, and the imbalance in FA Cup prize money between the men's and women's competitions

    "Now, today is a first for data malarkey… This is the very first time that we've had two guests on the same episode. Not only two guests, but also a dynamic feminist wife and husband duo…" In this episode of the Data Malarkey podcast, host and Master Data Storyteller, Sam Knowles, speaks with Karen and Charlie Dobres from Lewes Community Football Club about how Lewes became "the first and still the only club in the world" to equalise men's and women's playing budgets, and what it takes to shift culture, attention, sponsorship and long-term equity in football. Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com External resources  Karen's LinkedIn profile https://www.linkedin.com/in/karen-dobres-07a54b176/ and on Instagram https://www.instagram.com/karendobres/?hl=en: "I'm best found on Instagram or LinkedIn." Charlie's LinkedIn profile: https://www.linkedin.com/in/charliedobres/ Karen's book - B/Pitch Invasion - https://www.hachette.co.uk/titles/karen-dobres/pitch-invasion/9781788405881/ : "I'm definitely best found on LinkedIn." Charlie's "If you look on Spotify and Apple Podcasts, look up "Not Small Mean."podcast https://open.spotify.com/show/4UsJkXfQQz2Og0IXBQAgYn?si=da6dd926f74e48c9 Own a share in Lewes FC - https://lewesfc.com/become-an-owner/ Equality FC in practice - https://lewesfc.com/football-for-good/equality-fc/

    55 min
  5. Return On Inclusion: Why inclusive marketing drives growth (Ali Hanan, Creative Equals)

    18 MAR

    Return On Inclusion: Why inclusive marketing drives growth (Ali Hanan, Creative Equals)

    What if the biggest growth lever for brands in 2026 isn't media spend, targeting tweaks, or yet another funnel experiment … but inclusive marketing? In this episode of the Data Malarkey Podcast, Master Data Storyteller, Sam Knowles, is joined by Ali Hanan, Founder & CEO of Creative Equals, to unpack the data-driven business case for meaningful representation in advertising — what Ali calls the "Return on Inclusion." This is a conversation about marketing effectiveness, advertising effectiveness, brand growth strategy, representation vs positive portrayal, and how brands can do marketing for good and for growth without falling into performative box-ticking. Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com What you'll learn What "Return On Inclusion" means, and how to think about it as a measurable commercial strategy Why representation alone isn't enough — and how positive portrayal changes outcomes How underrepresented audiences translate into real market opportunity (and why brands miss it) How to handle the "woke" backlash by reframing inclusion through human rights and equal treatment What AI changes in creative development — and how to avoid a "sea of sameness" Why marketing effectiveness awards and case studies increasingly link inclusion to profit and growth Key moments 00:00 Cold open + the growth provocation 00:39 Intro + Ali Hannon / Creative Equals 05:41 The core data case for inclusion 10:15 "the UK ad sector… holding the growth… back" 14:40 Positive portrayal explained 20:04 The "£800 billion" underrepresented communities point 21:13 Scorecard CTA 29:02 Human rights framing 33:06 AI, bias, and inclusive prompting 41:47 "saving 312 lives" (community impact example) 48:09 Where to find Ali / Creative Equals Follow Ali / Creative Equals Website — https://creativeequals.org Ali's LinkedIn profile https://www.linkedin.com/in/ali-hanan-19b3a2 Resources mentioned UN Stereotype Alliance Effie Awards + Cannes Lions (effectiveness / inclusion lens) PepsiCo / Walkers case study Nurofen "gender pain gap" case study Book: Sex Matters

    50 min
  6. Harriet Kingaby on AI, Advertising, and the "No-Click Internet"

    4 MAR

    Harriet Kingaby on AI, Advertising, and the "No-Click Internet"

    What happens when the business model of the internet rewards attention at any cost -  and AI makes it even easier to centralise power, traffic, and revenue? In this episode of the Data Malarkey Podcast, host and Master Data Storyteller, Sam Knowles, is joined by Harriet Kingaby, Co-Chair of the Conscious Advertising Network (CAN). Harriet explores how advertising incentives shape the information ecosystem, why "information integrity" matters for democracy and business, and what conscious advertisers should be asking before they partner with platforms. This is a conversation about digital trust, algorithmic discrimination, recommendation algorithms, AI search summaries, the "no-click internet", data privacy, and why transparency in advertising is foundational if we want healthier online systems. Key topics Conscious advertising and advertising ethics Information integrity and transparent advertising AI in advertising and AI-driven search summaries Recommendation algorithms and algorithmic discrimination Online harms, self-harm content, and monetisation incentives The "no-click internet" and the death of the open web UN Global Principles on Information Integrity Facial recognition and surveillance risks in advertising and the home Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com What you'll learn Why Harriet thinks the incentives behind online platforms can produce unhealthy outcomes How CAN works as a "broad church" bringing together industry and civil society What "information integrity" means in practice - and why advertising transparency is central How discrimination can show up through recommendation systems and reach Why the "no-click internet" could reshape publishing, revenue, and independent content The kinds of questions advertisers should ask when partnering with platforms and AI tools A striking example of data misuse: facial recognition embedded in TV sets for ad targeting   External resources LinkedIn: Harriet Kingaby - https://www.linkedin.com/in/hkingaby/ Conscious Advertising Network - https://www.consciousadnetwork.com  CAN's Guiding Principles - https://www.consciousadnetwork.com/the-guidingprincipleslandingpage/ UN Global Principles on Information Integrity https://www.un.org/en/information-integrity/global-principles The EU Digital Services Act - https://digital-strategy.ec.europa.eu/en/policies/digital-services-act The Molly Rose Foundation report - https://mollyrosefoundation.org/ Cambridge Analytica scandal - https://www.bbc.co.uk/news/topics/c81zyn0888lt

    52 min

  7. 21 JAN

    "Start Making Sense": Data Malarkey Season Nine greatest hits

    Master Data Storyteller, Sam Knowles hosts a best-of-Season-Nine greatest hits episode, featuring: Kelly Beaver, Ipsos UK & Ireland; Angela Balakrishnan, the UK Information Commissioner's Office (ICO); AI pathfinder and TED Talker, Susan Etlinger; senior comms advisor at Wadds Inc., Stephen Waddington; founder of Social for Good, Kerry Watkins; and, the Ohio State University's Professor of Story Science, Angus Fletcher. Themes include the Market Research Society's "Campaign for Better Data", ultra-processed data in the age of AI, information rights and public trust, engineering-level rigour in PR and evidence-based measurement, authentic LinkedIn strategy for nonprofits and digital wellbeing (living life 24/six), and narrative cognition with anomalies, intuition, creativity, and leadership. Chapters (mm:ss) 00:00 Intro and wrap-up setup 00:22 Kelly Beaver, Ipsos, on the Campaign for Better Data 01:08 Ultra-processed data 42:41 Tool and weapon framing 44:26 Data Commerce Conference guests 45:07 Shedding a trail of data 54:48 Thanks to guests 56:06 See you again soon Data Malarkey Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com Contact: hello@usingdatasmarter.com Suggest a guest: https://www.usingdatasmarter.com/guest

    57 min

  8. 7 JAN

    Reality doesn't obey logic — Angus Fletcher on anomalies, intuition, and innovation

    Professor of Story Science, Angus Fletcher, joins Master Data Storyteller, Sam Knowles, to dig into narrative cognition, creativity, and innovation in volatile, uncertain, complex, and ambiguous (VUCA) environments. Drawing on Project Narrative (based at Ohio State University) and his book Primal Intelligence, Angus explains why logic is not reality, why adults struggle with intuition, and why the most effective stories and breakthroughs start with an anomaly. We explore intuition, imagination, emotion, and common sense as core human capabilities that enable us to outperform computational optimisation and AI when the world is changing fast and low on (reliable) data. Angus shares lessons from U.S. Army Special Operations training and a NASA case study on empowering young engineers, showing how leaders can detect anomalies early, design new plans for new environments, and build cultures that reward creativity over certainty. If you care about decision making, leadership, AI vs human judgment, innovation strategy, and story science, this episode is for you. Resources and links Project Narrative (Ohio State University) - https://projectnarrative.osu.edu/ Primal Intelligence (Angus' 2025 bestselling book) - https://www.angusfletcher.co/ Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com

    54 min
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The Data Malarkey podcast – and it's audio-visual twin, the Data Malarkey Show on YouTube – a must-listen, must-watch resource of brilliant data storytelling. If only there were more people in the world with the pragmatic approach taken by my guests, well, there'd be rather less data malarkey about.

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