Despite unprecedented data abundance and widespread data science education, even experienced data professionals still struggle to interpret data effectively. They draw wrong conclusions, miss critical insights, or fail to communicate findings in actionable ways. In this episode, Nicholas Kelly joins Dr. Genevieve Hayes to tackle the critical challenge of data interpretation - revealing why technical expertise alone isn't enough and sharing practical frameworks for transforming raw data into actionable business insights that drive real organisational change. This conversation reveals: The four primary challenges that make data interpretation so difficult [02:24] Why ChatGPT and AI tools are changing the data interpretation landscape [06:23] The "Five Whys" technique that ensures you're asking the right questions instead of wasting time on problems everyone already understands [17:32] Why successful data projects don't end with presenting insights and what to do next [20:01] Guest Bio Nicholas Kelly is the founder of Delivering Data Analytics, a consultancy focused on helping organisations enable their teams to make smarter, faster, and more confident decisions through data and AI. He is also the author of Delivering Data Analytics and the recently released How to Interpret Data . Links Nicholas's Website Connect with Nicholas on LinkedIn Connect with Genevieve on LinkedIn Be among the first to hear about the release of each new podcast episode by signing up HERE
