The Data Malarkey Podcast

We’ve reached 51 episodes and wrapped Season 7 of Data Malarkey! In this greatest hits episode, host Sam Knowles shares the most powerful moments from a season packed with insights—from AI ethics to data puppets, from psychology and kindness to practical business transformation. Revisit brilliant guests like Sylvie Delacroix, Julie Holmes, Cecilia Dones, Robin Banerjee, Adam Davidson, and Scott Taylor, all of whom shared their real-world, often surprising, insights on how to use data smarter. What You’ll Learn: How to rethink AI through the lens of humility and uncertainty The ethics of online trust and virtual relationships Why businesses need to upgrade soft skills, not just systems The power of kindness in society and psychology How satire and puppets explain data better than PowerPoint ever could Special Mentions: Take the Data Storytelling Scorecard Guest Application Form Subscribe on YouTube: Data Malarkey Minimal Thumbnail Text Suggestions: 🧠 "Best of AI & Empathy" or 📊 "Greatest Hits: Data Gets Human"

In this energising episode of the Data Malarkey Podcast, Master Data Storyteller Sam Knowles speaks with Julie Holmes, entrepreneur, inventor, and AI advisor. Julie shares her insights into how businesses can make AI work with their people – not instead of them. She dives into creative automation, ethical AI, and the dangers of dabbling without direction. From her practical UPGRADE Framework to her “intern not genius” approach to creating effective prompts for LLMs, Julie delivers a candid, actionable masterclass on the human side of AI. What You'll Learn: Why AI should be seen as an intern – not a threat. How to scale creativity and automation. What most businesses get wrong about AI readiness. The ethical responsibilities we must now embrace. How to build smarter prompts that actually deliver results. Resources Mentioned: Julie Holmes’ website: https://www.julieholmes.com Julie’s AI readiness assessment for businesses: https://julieholmes.com/ai-readiness-assessment-2025/ The AI prompt library and archive https://julieholmes.com/prompt/ Data Storytelling Scorecard: https://data-storytelling.scoreapp.com The Insight Agents’ website – Sam Knowles’ business, including the archive of Data Malarkey podcast episodes: https://insightagents.co.uk Rate, Review, and Follow! If you found this episode valuable, please rate and review on Apple, Spotify, or YouTube, and don’t forget to follow and subscribe for a new episode every fortnight!

In this episode of the Data Malarkey Podcast, host Sam Knowles welcomes Scott Taylor, The Data Whisperer, to break down why data storytelling is the missing business skill in the world of AI, analytics, and business intelligence. Scott shares why he believes in Truth Before Meaning, the idea that businesses need clean, structured data before they can extract meaningful insights. He also explains why tech jargon is holding the data industry back, why business leaders don’t care how data works, and how he’s making the world of data more relatable through Data Puppets. What You'll Learn in This Episode: The biggest mistakes data leaders make when presenting to executives Why data management is the foundation for AI success How to tell data stories that business leaders actually understand The origins of Data Puppets and why humour matters in data Resources Mentioned: Scott Taylor’s book: Telling Your Data Story (Amazon) Scott’s YouTube Channel: The Data Whisperer Data Puppets: www.datapuppets.com Scott’s 2024 Big Data London keynote – “Data is the new bullsh*t” www.youtube.com/watch?v=5LRVF-1nGPQ “The Little Red Data Hen” www.youtube.com/watch?v=OBFwiGN3XK0 The DataVengers: www.datacated.com/datavengers Data Storytelling Scorecard: data-storytelling.scoreapp.com Join the Conversation: Take the Data Storytelling Scorecard: data-storytelling.scoreapp.com Follow the podcast for more insights on data, storytelling, and business communication. Connect with Us: Scott Taylor: LinkedIn | MetaMeta Consulting Sam Knowles: https://insightagents.co.uk Rate, Review, and Follow! If you enjoyed this episode, rate and review us on Apple Podcasts, Spotify, or YouTube. It helps us reach more people who care about data and storytelling!

Is kindness just a “soft” concept, or is there real science behind it? In this episode of the Data Malarkey podcast, Master Data Storyteller Sam Knowles is joined by Professor Robin Banerjee, Pro-Vice-Chancellor for Global and Civic Engagement at the University of Sussex. Robin’s research explores the psychology of kindness, empathy, and human connection, revealing how data can unlock powerful insights about our social world. From leading the BBC Kindness Test – a groundbreaking study with over 60,000 participants – to his work on how fiction and television shape empathy, Robin shares fascinating insights about the science of human connection. He also explains why he finds joy in data – a phrase that might just change how you see statistics forever. What you'll learn in this episode: The psychology behind kindness—what drives it, and how we measure it Surprising insights from the BBC Kindness Test How fiction and TV shape our ability to empathise The joy in data and why it’s more than just numbers Why understanding human behaviour through research is so important Chapters: 00:00 - Introduction 01:27 - Robin Banerjee’s career and research focus 07:43 - What makes someone kind? 13:53 - The BBC Kindness Test: Key findings 20:02 - The psychology of human connection 30:36 - Finding joy in data 39:07 - Empathy and storytelling: fiction vs reality 45:00 - What TV tells us about our emotions 50:30 - Where to find out more about Robin’s research About our guest: Professor Robin Banerjee is a leading researcher in developmental psychology and the Pro-Vice-Chancellor for Global and Civic Engagement at the University of Sussex. His work focuses on kindness, empathy, and social development, and he is the founder of the Sussex Centre for Research on Kindness. Robin’s research has been featured widely, including his collaboration with BBC Radio 4 on the Kindness Test, the largest study of its kind, exploring how people experience and perceive kindness across different cultures and communities. Resources mentioned: Sussex Centre for Research on Kindness on the University of Sussex website BBC Kindness Test: BBC Radio 4 Data Storytelling Scorecard: https://data-storytelling.scoreapp.com Sam Knowles’ website: https://www.insightagents.co.uk Join the conversation: Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com Follow the podcast for more insights on psychology, data, and human behaviour. Connect with us: Robin Banerjee: University of Sussex profile Sam Knowles: LinkedIn profile Rate, Review, and Follow! Enjoyed the episode? Please take a moment to rate and review us on Apple Podcasts or Spotify. Your support helps us bring more thought-provoking discussions to you!

In this engaging episode of the Data Malarkey Podcast, Master Data Storyteller and host Sam Knowles welcomes Cecilia Dones, a thought leader in data, AI, and human connection. Ceci explores how technology shapes the way we interact, trust, and build relationships—both online and offline. She shares insights into AI ethics, uncertainty in machine learning, and why trust is the cornerstone of all our digital futures. From her work in AI ethics to her philosophy on leadership and adaptability, Ceci provides fresh perspectives on the best ways to navigate the ever-evolving world of artificial intelligence. Tune in for a thought-provoking discussion on data, trust, and what it means to be human in the age of AI. What you'll learn in this episode: Why trust in digital interactions is becoming harder to establish The role of AI in shaping human relationships and decision-making How uncertainty in AI responses from LLMs may be an advantage not a weakness The power of adaptability and why labels limit creativity Why leaders need to embrace ambiguity in the AI era Chapters: 00:00 - Introduction 01:27 - Cecilia Dones on connections and human-centred technology 07:43 - Why trust in digital spaces is complicated 13:53 - How AI influences our relationships and decision-making 20:02 - The challenge of uncertainty in AI models 30:36 - Leadership, adaptability, and embracing ambiguity 39:07 - No Labels: Why Ceci avoids definitions and fixed roles 45:00 - The ethical dilemmas of AI, privacy, and consent 50:30 - Where Cecilia Dones is sharing her work and insights About our guest: Cecilia Dones is a data and analytics practitioner-academic, founder of 3 Standard Deviations, with expertise spanning Fortune 500 companies and academia. She specialises in AI applications, technology's impact on human interactions, and bridging data insights across sectors. Currently, she is completing her doctoral studies on interpersonal trust in digital environments. She holds degrees from NYU Stern and Columbia University. She has taught at top business schools and authors the "Authentic Interactions" newsletter on Substack exploring technology, data, authenticity, and trust. Resources mentioned: Cecilia Dones’ Substack: Authentic Interactions Ceci’s LinkedIn newsletter “What is a CMO to do with AI?” Data Storytelling Scorecard: data-storytelling.scoreapp.com Join the conversation: Take the Data Storytelling Scorecard: data-storytelling.scoreapp.com Follow the podcast for more insights on AI, data, and leadership Connect with us: Cecilia Dones: LinkedIn | Substack blog – https://authenticinteractions.substack.com Sam Knowles: LinkedIn Rate, review, and follow! Enjoyed the episode? Please take a moment to rate and review us on Apple Podcasts or Spotify. Your support helps us bring more thought-provoking discussions to you.

Check out our Data Storytelling scorecard: https://data-storytelling.scoreapp.com In this episode of the podcast, Master Data Storyteller Sam Knowles sits down with Adam Davidson, Head of Data Science at the Advertising Standards Authority (ASA). Adam shares his fascinating journey from CERN’s Large Hadron Collider, where he contributed to the search for the Higgs boson, to leading data-driven efforts in advertising regulation. 💡 What You'll Learn in This Episode: How Adam transitioned from physics to advertising regulation, with the constant drumbeat of data science The role of AI and machine learning in monitoring online ads Why data storytelling is critical for bridging the gap between data teams and leadership How the ASA is tackling fraudulent ads and influencer marketing transparency The future of real-time ad monitoring and automation Ethical concerns around the misuse of data in advertising If you've ever wondered how AI is shaping the future of digital advertising and how regulators are keeping up, this episode is for you! 🎧 Listen now and discover how AI, data science, and machine learning are transforming the ad industry! Episode Chapters & Timestamps 00:00 - Introduction: Meet Adam Davidson 01:27 - From CERN to Data Science in Advertising 04:32 - Bridging the Gap Between Data Science & Leadership 09:14 - The AI-Powered Ad Monitoring System 14:38 - Regulating the "Wild West" of Online Ads 18:12 - The Challenge of Influencer Marketing & Hidden Ads 25:30 - AI & Automation: Real-Time Ad Monitoring 32:02 - How AI in Advertising is Evolving 39:45 - Misuse of Data: The Dark Side of AI 45:36 - Final Thoughts & Where to Follow Adam Guest Bio: Adam Davidson Adam Davidson is the Head of Data Science at the Advertising Standards Authority (ASA), where he leads efforts to monitor and regulate digital advertising using AI and machine learning. His career started in particle physics at CERN, where he was involved in the discovery of the Higgs boson. Adam later transitioned to data science roles at Qubit and The Economist, before joining the ASA in 2021. Now, he’s using data and AI to bring accountability to online advertising, leading a seven-strong team of data scientists at the ASA who are ensuring that brands comply with regulations, legislation, and ethical marketing standards. 🔗 Follow Adam Davidson on LinkedIn https://www.linkedin.com/in/adam-davison-a5624815/ 🔗 The Advertising Standards Authority https://www.asa.org.uk Key Takeaways & Quotes from This Episode 🧠 On Data Storytelling: "Data science is useless if leaders don’t understand it. Storytelling bridges that gap.” – Adam Davidson 🤖 On AI in Advertising Regulation: "We built an AI system that actively monitors ads in real time – catching fraudulent content before it spreads.” ⚖️ On Ethical Advertising: "Influencer marketing needs more transparency. Consumers deserve to know when they’re being sold to.” 🚀 On the Future of AI & Automation: "Machine learning in advertising isn’t new. What’s new is the scale at which we can use it for good.” Resources & Links 🔗 Adam on BBC2’s Horizon, “The Hunt for the Higgs Boson” – www.dailymotion.com/video/x621wqk 🔗 Profile on Adam in Marketing | Beat – https://www.marketing-beat.co.uk/2024/04/11/asa-harnessing-ai-technology/ 🔗 “Using AI to monitor the promotion of prescription-only medicines” by Adam Davison, ASA blog, 09.11.23 – https://www.asa.org.uk/news/using-ai-to-monitor-the-promotion-of-prescription-only-medicines.html 🔗 “Our Active Ad Monitoring system” by Adam Davison, ASA blog, 14.07.23 – https://www.asa.org.uk/news/our-active-ad-monitoring-system.html 🔗 “How data science is changing ad regulation” by Adam Davison, ASA blog, 17.11.22 – https://www.asa.org.uk/news/how-data-science-is-changing-ad-regulation.html Support & Connect 💬 Enjoyed this episode? Let us know! Leave a review on Apple Podcasts or Spotify. 📢 Share this episode with colleagues in marketing,...

In this thought-provoking episode of the Data Malarkey Podcast, master data storyteller Sam Knowles sits down with Sylvie Delacroix, the inaugural Jeff Price Chair in Digital Law in the Dickson Poon School of Law at King’s College London. Sylvie shares her insights into data ethics, the vulnerabilities we face in a data-driven world, and the transformative potential of generative AI. She also introduces the Centre for Data Futures, her initiative to build participatory data infrastructure that empowers individuals and communities. This is a conversation about ethics, identity, and the future of AI that you won’t want to miss. What you'll learn in this episode: The hidden vulnerabilities of our daily data leaks. How AI can both limit and empower personal reinvention. Why participatory infrastructure is essential for ethical AI development. The concept of ‘humility markers’ in AI and their potential to transform conversations. How Sylvie’s work bridges the gap between theory and practice in digital law and data ethics. Chapters: 00:00 - Introduction 01:27 - Sylvie Delacroix’s journey and research focus 07:43 - The vulnerability of self in the data-driven age 13:53 - Building participatory data infrastructures 20:02 - Rethinking AI and conversational models 30:36 - The importance of humility markers in AI 39:07 - The future of ethical AI: aspirations and hopes About our guest: Sylvie Delacroix is a leading expert in digital law and ethics. As the Jeff Price Chair in Digital Law at King’s College London, Professor Delacroix directs the Centre for Data Futures, focusing on participatory data infrastructure and ethical governance of AI. Her work on data trusts and habitual ethics has shaped policy initiatives worldwide. To learn more about her work, visit https://delacroix.uk Resources mentioned: Sylvie Delacroix’s home page https://delacroix.uk The Center for Data Futures https://www.kcl.ac.uk/research/centre-for-data-futures The Dickson Poon School of Law at King’s College, London https://www.kcl.ac.uk/law Sylvie’s book, Habitual Ethics?, available via Bloomsbury (open-access) https://www.bloomsburycollections.com/monograph?docid=b-9781509920440 Sam Knowles’ book, Asking Smarter Questions: How to be an Agent of Insight https://asksmarterqs.com Find Out What Kind of Data Storyteller you are: https://data-storytelling.scoreapp.com/ Join the conversation: Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com Follow the podcast for more insightful conversations on data and AI Connect with us: Sylvie Delacroix: King’s College London Profile, LinkedIn profile Sam Knowles: https://www.linkedin.com/in/samknowlesdatastory Rate, review, follow, and share! If you enjoyed this episode, please take a moment to rate and review us on Apple Podcasts or Spotify. Don’t forget to follow the show so you never miss an update!

In this special wrap-up episode of Data Malarkey, host and Master Data Storyteller, Sam Knowles, takes us through the standout moments from Season 6 of the podcast. From neuroscience-driven storytelling to data privacy law, this compilation showcases some of the smartest and most impactful ways people are using data to improve communication, branding, and societal outcomes. Featuring insights from a diverse lineup of experts, this episode is packed with lessons and strategies for anyone curious about making data work smarter. Key Highlights: The Neuroscience of Marketing (00:02:10): Cristina de Balanzo discusses how to avoid the pitfalls of “neurobollocks” in neuroscience-driven market research. Data-Backed Simplicity in Storytelling (00:07:02): Natalia Talkowska explains how neuroscience and behavioural science enhance storytelling effectiveness in data-heavy communication. Breaking the Curse of Knowledge (00:12:26): Mike Ellicock shares tips for simplifying data communication, especially in utilities and financial services. GDPR: A Force for Good (00:18:09): Alice Wallbank defends the GDPR and unpacks its hidden benefits and costs. Levelling the Playing Field for Women Scientists (00:27:22): Ylann Schemm highlights how Elsevier uses data to advance inclusive research and health. The Science Behind Accurate Exit Polls (00:34:05): Professor Sir John Curtice reveals how academic methods have transformed election night predictions. Barbarians Rugby’s Data-Driven Rebrand (00:42:00): Branding guru Bill Wallsgrove showcases how data informed a fresh, digital-first identity for the iconic club. External Links: Using Data Smarter guest application form: Submit a Guest Follow Sam Knowles on LinkedIn: Sam Knowles Catch full episodes and video content on YouTube: Data Malarkey YouTube Channel Subscribe and Stay Connected: New episodes drop every other Wednesday on Apple Podcasts, Spotify, and YouTube Music. Don’t forget to subscribe and leave a review! To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard.

In this episode of Data Malarkey, we sit down with Natalia Talkowska, founder of Natalka Design, to explore the fascinating intersection of neuroscience, visual communication, and storytelling. Natalia shares her inspiring journey and how she helps people overcome self-doubt, embrace creativity, and communicate their big ideas with impact. From her revolutionary Visualise Futures tool to the importance of breaking perfectionist habits, this episode is packed with insights for anyone looking to unlock their creative potential. What You'll Learn in This Episode: Links & Resources: Natalka Design Website:www.natalkadesign.comVisualise Futures Substack:visuaisefutures.substack.comCreative Brain Club Newsletter:creativebrainclub.substack.comData Storytelling Scorecard:data-storytelling-scorecard.com Follow Natalia Online: LinkedIn:Natalia TalkowskaInstagram:@natalkadesign If you enjoyed this episode, don’t forget to subscribe and leave a review on your favourite podcast platform! 🎧

In this episode of the Data Malarkey podcast, master data storyteller Sam Knowles is joined by Bill Wallsgrove, Head of Ideas at Brighton-based communications and design agency, Brandad. Bill has more than 30 years’ experience working in business strategy, brand creation, and communications development. He trained at the London College of Printing and cut his teeth at the legendary design agency, Coley Porter Bell. Bill’s worked in 3D design and packaging design. He is also the man responsible for the creation of the McCoy’s brand of crisps. Throughout his career, Bill has been keen to share the tools of his trade with succeeding generations, both through academic and industry bodies. These include the Design Council and the University of Brighton, where today he is an honorary lecturer in the school of Art and Media. Through his wittily-named consultancy, Brandad, Bill today brings his decades of experience to a wide range of businesses and third-sector organisations, with a particular focus on start-ups in his adopted home city of Brighton, the start-up capital of Europe. Indeed, it was one of his start-up clients that named his business for him. But Bill’s expertise is just as relevant to centuries-old institutions, as evidenced by his data-driven development and activation for the rugby football club, the Barbarians. Bill’s approach to data-driven design is well captured by his son’s description of his role as “a fashion designer for businesses”. And though he’s into his fourth decade of advising brands on how to stand for something meaningful in their consumers’ lives – and trading as Brandad – his tools and techniques couldn’t be more contemporary. An early adopter of AI – and particularly Midjourney for “30-second mood boards that might have taken days or weeks before”, provided the prompts are right – Bill advocates the use of artificial intelligence. “It makes the research process more effective,” he says, “it makes our jobs more focused.” EXTERNAL LINKS The Brandad homepage – https://brandad.co.uk Bill’s LinkedIn profile (and Bill is quite prolific on the platform) – https://www.linkedin.com/in/bill-wallsgrove1/ To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, master data storyteller Sam Knowles is joined by Alice Wallbank, a professional support lawyer for the law firm Shoosmiths, whose clients include Mercedes-Benz, Octopus Ventures, and Travelodge. The company also specialises in working for businesses in both the property and banking sector. The Financial Times has garlanded Shoosmiths as “one of Europe’s most innovative law firms”, and Alice’s pioneering role at the company – focused on privacy, data, and increasingly AI – is symptomatic of a business in the vanguard of a profession catching up with the broadest implications of technology. At the start of this year, Alice co-hosted an excellent ‘data insights’ conference – naturally hybrid, both in the room and online – which featured a keynote from Austrian activist and lawyer, Max Schrems. Schrems is famous for his successful campaigns against Facebook (and Meta) for their violations of European data privacy laws. Before joining Shoosmiths, Alice spent six years as the principal legal counsel for the cyber and information security division of the leading technology business, QinetiQ. Alice is a passionate advocate of the EU’s General Data Protection Regulation (GDPR), describing it “as a good thing for data privacy – without a shadow of a doubt”. Although first introduced in 2016 and in place since 2018, it has its origins in a 1995 directive, designed to protect the rights and freedoms of individuals from Big Tech. Alice believes this showed “remarkable foresight”. One of the very few people in the UK, Europe, and the world to have read all 90,000 words of the EU’s AI Act, artificial intelligence gives Alice that fabled reaction to trench warfare of “a combination of boredom and terror”. There are huge potential upsides – such as radiography diagnostics – and massive downsides from a system that is “at heart a self-limiting black box” dealing in “biases in, biases out”. And in a Data Malarkey exclusive, Alice is our first guest in more than 40 episodes … to sing. She dons her white stilettos, dances round her handbag, and turns the clock back to 1984 for a tuneful rendition of Rockwell’s dancefloor smash, Somebody’s Watching Me – for Alice, an insightful foreshadowing of data privacy issues 40 years into the future. EXTERNAL LINKS Shoosmiths home page – https://www.shoosmiths.com Alice’s profile on the Shoosmiths’ site – https://www.shoosmiths.com/people/cvdetails/alice-wallbank Alice’s article on Ashley Madison – https://www.grip.globalrelay.com/could-the-ashley-madison-data-breach-happen-today/ Another blog from Alice, this time on the environmental credentials of GDPR. The EU AI Act – all 90,000 words of it – here Rockwell’s Somebody’s Watching Me from 1984 – https://www.youtube.com/watch?v=7YvAYIJSSZY To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

Join master data storyteller, Sam Knowles, for an enlightening conversation with Sir John Curtice, professor of politics at the University of Strathclyde and senior research fellow at the National Centre for Social Research. As we navigate 2024 which has been dubbed "the ultimate election year," Sir John shares his insights on polling accuracy, political volatility, and data-driven decision-making in the UK and US elections. We explore the intricacies of his more-accurate-than-most exit polling methodology, the challenges of interpreting voter behaviour, and the future of electoral systems. Plus, Sir John reveals his secrets for communicating complex data effectively. Key Takeaways: - Sir John Curtice's approach to accurate exit polling - Analysis of the 2024 UK General Election results - Challenges of predicting the outcome of the 2024 US election - Insights on communicating data clearly and avoiding the Curse of Knowledge EXTERNAL LINK: https://bit.ly/4hij0FG - University of Strathclyde To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, we join master data storyteller Sam Knowles, in conversation with Cristina de Balanzo, PhD, Founder and Board Director at Walnut Unlimited, as she delves into the fusion of neuroscience, behavioural science, and strategic insights to unlock human behaviour. In this engaging discussion, Cristina shares practical examples of how neuroscience informs communication strategies and marketing, and the role of creativity in human understanding. Learn how insights, human behaviour, and neuroscience come together to shape the future of marketing and communication. Neuroscience has been a constant drumbeat of Cristina’s career. Before founding Walnut more than a decade ago, she was global head of neuroscience at TNS, following a nine-year stint as a strategic planner with McCann Erickson. EXTERNAL LINKS Cristina’s LinkedIn profile – https://www.linkedin.com/in/cristina-de-balanzo-ph-d-1693694/ Cristina on X – https://twitter.com/crisbalanzo Cristina’s article on WARC – “The science of laughter: Why humour is serious business” – https://bit.ly/3zoTtK9 ResearchGate profile for Cristina – https://www.researchgate.net/profile/Cristina-De-Balanzo To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, master data storyteller Sam Knowles is joined by Mike Ellicock, Founder and Chief Executive of The Plain Numbers Project. Plain Numbers says of its purpose: “We enable clear communication of numbers everywhere so that people can better understand the choices they face in life.” This matters, because about half the adults in the UK have the numeracy skills expected of a primary school child. And one in five suffers from “maths anxiety”. Plain Numbers works with all sorts of organisations to help them communicate the numbers that matter in ways that are clear, fair, and never misleading. Organisations like banks and building societies, insurers and utility companies, national and local government. Plain Numbers trains, assesses, and accredits individuals, teams, and whole organisations to communicate their data more effectively and transparently. The company’s approach is both deeply practical – developing the skills that businesses need for clear and simple communication of numbers – and deeply strategic, going and gaining access to the most senior decision-makers (often Government ministers) to effect meaningful, systemic change. The progress Plain Numbers has made in just a few years has been accelerated by the introduction of the Financial Conduct Authority’s rules and guidance on Consumer Duty which “sets high standards of consumer protection across financial services and requires firms to put their customers' needs first”. Before founding Plain Numbers, Mike was the Founder and Chief Executive of the charity National Numeracy, which he ran throughout the twenty-teens. Prior to that he ran Numicon, an innovative, multi-sensory approach to teaching maths at primary school level, up to the time when Numicon was acquired by Oxford University Press. For seven years either side of the millennium, Mike was a Captain in the Parachute Regiment. Outside of the day job, he still takes fitness and the realisation of what’s possible physically to new heights – and always through a data-driven, evidence-based lens. In 2015, Mike broke the world record for running a marathon wearing a 20lb back-pack, shaving ten minutes off the previous best by clocking a time of just 2h 56m 39s, a record that stands to this day. Next year he’s aiming to row around the British Isles in under 40 days. EXTERNAL LINKS Plain Numbers home page – https://plainnumbers.org.uk The Plain Numbers in Practice report from June 2024 – https://bit.ly/4c2e0Bv Mike’s LinkedIn profile – https://www.linkedin.com/in/mike-ellicock/ FCA Consumer Duty – https://www.fca.org.uk/firms/consumer-duty To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, master data storyteller Sam Knowles is joined by Ylann Schemm, Vice President for Corporate Responsibility at the leading academic publisher, Elsevier, home to almost 3,000 academic journals, specialising in scientific, technical, and medical content. Elsevier describes itself as “an information analytics” business – so right up our alley here at Data Malarkey. In a career with the publisher spanning almost two decades, Ylann has been on a remarkable journey of both personal and corporate development, moving from communications to corporate relations and from there into corporate responsibility. And for more than a decade, she has been a leading figure in the Elsevier Foundation, first as Program Director – running the Foundation’s New Scholars program designed to expand the participation of women in STEM – and since 2017 as its Director. Under Ylann’s leadership, the Foundation is taking pioneering steps and making a tangible difference. This is manifested most clearly in the organisation’s regular, data-driven reporting into gender and diversity in research. The latest, 2024 report showed that, although as many as 41% of all academic researchers today are women, this is much lower in STEM subjects. At the current rate of change, parity is not expected to be reached until 2052. Ylann was allowed to lay the – shall we say? – foundations for the Foundation’s work in “a climate of benign neglect” as she found her feet and built networks and partnerships inside and outside of Elsevier. But it was with the 2019 arrival of the company’s first female CEO, Kumsal Bayazit, that Ylann’s work moved front and centre of the publisher’s strategic vision. EXTERNAL LINKS Ylann’s LinkedIn profile – https://www.linkedin.com/in/ylann-schemm-a5a3632/ Elsevier home page – https://www.elsevier.com/en-gb The Elsevier Foundation – https://elsevierfoundation.org 2024 Elsevier Foundation gender and diversity in research report – https://www.elsevier.com/en-au/insights/gender-and-diversity-in-research To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

Using data smarter is an attitude of mind. It’s characterised by those who choose to communicate simply, clearly, and effectively, by making sense of the signals and cutting out the noise. Above all, it’s about empathy, humanity, and appreciating the likely data tolerance of your audience. After our fifth collection of six great guests, it’s a wrap for Season Five of Data Malarkey – the podcast about using data smarter. Your host, master data storyteller Dr Sam Knowles, picks out common themes and chooses his highlights from a lively series of conversations – recorded remotely, via the medium of Riverside.fm, between February and May 2024. Thanks as ever to Joe Hickey for production support. Podcast artwork by Shatter Media. Voice over by Samantha Boffin. In Season Five, our guests included: Sir David Spiegelhalter, Emeritus Professor of Statistics at the University of Cambridge. Olivia Jensen, Deputy Director and Lead Scientist at the Institute for the Public Understanding of Risk based out of the University of Singapore. Sorin Patilinet, Senior Director for Marketing Effectiveness at Mars (who’s also the Marketing Engineer). Ian Whittaker, founder of Liberty Sky Advisors, the award-winning city analyst specialising in media and marketing. John Hibbs, Co-Founder of CoEfficient, a software as a service company that helps organisations grow by measuring performance from the human perspective. And Sir Simon Baron-Cohen, Professor of Developmental Psychopathology at Cambridge University, and director of the Autism Research Centre. Data Malarkey is taking an extended summer vacation and is having all of August off – and then some. We’ll be back with Season Six on 11 September 2024 with another eclectic group of guests from an ever-more diverse set of professions. We’ll be hearing from women and men at the top of their game from the worlds of publishing, consumer goods, political punditry in the wake of the U.K. General Election, journalism, neuroscience, and numeracy. As usual, their common approaches to using data smarter have lessons for us all. And we start with Ylann Schemm who is both the Vice President of Corporate Responsibility for Elsevier, the world’s leading scientific publisher and data analytics company, and Director of the Elsevier Foundation. To find out how you rank as a data storyteller, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes to answer 12 questions, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, data storyteller Sam Knowles is joined by Sir Simon Baron-Cohen, Professor of Developmental Psychopathology at the University of Cambridge, where he also runs the Autism Research Centre. Simon has been working in the field of autism for approaching 40 years and is one of the world’s leading authorities on the subject. Since the mid-1980s, the research he’s led and undertaken has led him to advance several different, complementary theories of the condition including: the mind-blindness theory, the prenatal sex steroid theory, and the empathising-systemising theory of autism and typical sex differences. Some corners of autism research have a somewhat shady and disreputable reputation for their misuse of data; for drawing conclusions about the general population from tiny sample sizes that the data could not warrant. Indeed, it was in the wake of the MMR scandal that the charity Sense About Science was founded in the early 2000s – to encourage researchers to present their findings responsibly and the media to report them responsibly – and Sense About Science’s director, Tracey Brown, was a recent guest on Data Malarkey. By contrast with the shady stuff, Simon’s research has been a shining light of empiricism and evidence-based, data-driven truth, with sample sizes sometimes in the tens or hundreds of thousands. His 2018, empathising-systemising study famously collected data from 36,000 autistic people and 600,000 non-autistic people. Described by the medical journal The Lancet as “a man with extraordinary knowledge … his passionate advocacy for a more tolerant, diverse society, where difference is respected and cultivated, reveals a very human side to his science” it is our honour to welcome Simon to Data Malarkey. A very fitting, very high-profile end to Season Five, a season bookended by two great Cambridge minds, as we started with Professor Sir David Spiegelhalter. To secure Simon as a guest on Data Malarkey, I’m delighted to say I had to drop my son Max’s name. At the time of recording, Max had recently hosted Simon at an excellent event run by the recently-reborn Cambridge Psychology Society, of which Max is now President. At the university, he is studying Psychological & Behavioural Sciences. #proudfather EXTERNAL LINKS Profile of Simon on The Lancet – Psychiatry site https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(15)00461-7/fulltext The Autism Research Centre https://www.autismresearchcentre.com The extraordinary output of 750+ articles from the Autism Research Centre on PubMed https://pubmed.ncbi.nlm.nih.gov/?term=simon+baron-cohen&sort=date Auticon, the social enterprise on a mission to improve the employment prospects of neurodivergent people, whose board Simon advises https://auticon.com/uk/ To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, data storyteller Sam Knowles is joined by John Hibbs, the Co-Founder of CoEfficient, a company that helps organisations grow from the human perspective. It does this by gathering genuinely useful feedback from those who work for an organisation and then deploying this intelligence in the most productive way possible, to drive both individual and organisational growth. Founded on the principle that businesses are simply groups of people, CoEfficient gives hearts and minds that make up a business a voice, ensuring that they feel heard and are valued. This – John believes – is what enables businesses to serve as creators of positive change within society. CoEfficient serves all sorts of different clients right around the world, and today John is based on his native island of Guernsey. But his journey to becoming a pioneer in using data smarter to help companies grow is neither traditional nor expected. 25 years ago, he was running a personal training business that he was struggling to scale. A chance meeting with a business mentor first opened his eyes to the power of data, measurement, and evaluation. This set him on course to develop both his Monergy Flow model of growth and a thriving, scalable business that few – least of all John himself – would ever have predicted. EXTERNAL LINKS Make friends with John on LinkedIn, his preferred social media platform https://www.linkedin.com/in/john-hibbs-coefficient/ There’s more about CoEfficient at https://www.coefficient-solutions.com John explains his Monergy Flow model – including the hand-drawn, periodic table version – at https://www.maddyness.com/uk/2023/08/09/the-monergy-flow-by-john-hibbs/ To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, data storyteller Sam Knowles is joined by Ian Whittaker, one of the leading financial and commercial analysts covering the media and advertising sector. Ian is the managing director and owner of Liberty Sky Advisors, has twice been the City AM Analyst of the Year – first in 2014 and again in 2019 – and he writes regularly for both the media and the financial press. He helps marketers speak the language of the CFO – the Chief Financial Officer – and is the go-to guy for understanding how the media, digital, and marketing world is performing. Ian takes a no-nonsense approach to explaining how the media category makes its money, and in a sector that’s often very much at home to spin and storytelling, takes an evidence-based, data-driven approach to cutting through the hype and telling it how it is. This means he’s particularly good at understanding which innovation is just a shiny new toy and which has the potential to revolutionise the world of media and marketing. Understanding whether you should invest in a media company – be it one of the mega advertising agency holding companies, one of the big tech platforms, or a streaming service – demands a knowledge of more than just the media sector. Ian tells us why understanding macroeconomic trends and geopolitics matters just as much as being able to read a balance sheet. An Oxford historian by training with an MBA from London Business School, Ian is currently studying for an MA in the History of War at King’s College, London. His analytics and evidence-assessing skills from all three degrees enable him to sort the signal from the noise. “Data is the bedrock, but data is neutral,” Ian says, “though there does come a time when the data talks to you and reveals the hidden truth.” A hypothesis-tester and very definitely not a hypothesis-prover, he’s very much against trying to force fit data into a pre-ordained world view. Ian is also a fan of the “data is the new oil” analogy – provided we realise that oil is useless in and of itself and that the value comes from what we do with it once we’ve zoned in the right area, mined it, and refined it. We learn the surprising truth about why Meta (Facebook’s parent company) is doing so well. There’s been no great recovery in its previously dominant US and European markets, which grew just 2-3% in the last quarter of 2023. The stellar performance in that reporting period was down to massive investment from just a couple of Chinese gaming companies, meaning Meta’s sudden surge in value is almost certainly built on sand. EXTERNAL LINKS Ian’s LinkedIn profile: https://www.linkedin.com/in/ianwhittakermedia/ Liberty Sky Advisors: https://ianwhittakermedia.com Learn the Language of the CFO for Success in the Boardroom – JC Decaux podcast on YouTube https://www.youtube.com/watch?v=wnYV7JuId1g To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.

In this episode of the Data Malarkey podcast, your host Sam Knowles is joined by Sorin Patilinet, Senior Director of Marketing Effectiveness at Mars. Sorin is also known as the Marketing Engineer. Our conversation was recorded remotely, via the medium of Riverside.fm, on 4 April 2024. Thanks to Joe Hickey for production support. Podcast artwork by Shatter Media. Voice over by Samantha Boffin. Sorin took an unusual route into marketing and has an unusually scientific approach to making every last marketing dollar count. Trained as a telecommunications engineer at university in his native Romania, Sorin applies the rigour of engineering to the not always substantial world of marketing science. In the dozen-plus years he’s worked at Mars, he’s routinely and rigorously put into practice the theories of the How Brands Grow marketing professor, Byron Sharp. Liverpool and Anderlecht fan, Sorin, is based in Belgium, Brussels. He’s currently writing a book from the perspective of the marketing practitioner, showing how structured, systems thinking can make the “colouring-in department” label sometimes levelled at marketing a thing of the past. Marketing has changed out of all recognition compared to where it was when Sorin started his career, from 80% of ad spend on linear TV to 27 creatives on 35 platforms with no reliable or consistent, cross-platform means to control reach or frequency. Amid all this complexity, his evidence-based approach to marketing measurement is a breath of fresh air. So, too, is the ad testing methodology (Agile Creative Expertise or ACE) that Mars has developed under Sorin’s stewardship, based not on claimed intention but instead rooted in actual consumer behaviour. Eye-tracking, attention, and emotion have been found time and again to trump declarative survey findings. This really works at scale, too, with insights derived from more than 800 creative executions a year. Sorin’s an enthusiastic sceptic when it comes to AI, but he’s keen to point out that the November 2022 appearance of ChatGPT is just the tip of the iceberg. Mars has been using AI – in the form of machine learning and deep analytics – for years. An enthusiastic modern-day Stoic and fan on Everyday Stoic, Ryan Holiday, in ten years from now Sorin hopes to be applying the rigour he’s developed for marketing effectiveness to communicating the importance of grand projects such as the European Union or the United Nations to disaffected citizens. Sorin is a board member of the Attention Council and a guest lecturer at Wharton Business School. EXTERNAL LINKS Sorin’s blog: “Engineering Marketing” – https://www.sorinp.com Sorin’s LinkedIn profile – https://www.linkedin.com/in/patilinet/ To find out what kind of data storyteller you are, complete our data storytelling scorecard at https://data-storytelling.scoreapp.com. It takes just two minutes, and we’ll send you your own personalised scorecard which tells you what kind of data storyteller you are.