The Data Storytellers Podcast

What separates analytics teams that get a seat at the table from those stuck in the reporting queue?Anthony Jackel, Senior Director of Business Intelligence & Analytics at Ferrara, has spent his career answering that question, from Kraft to one of America's largest candy companies.In this conversation, we explore:What "data-driven enterprise" actually meansThe shift from data providers to decision enablersWhy user-centered design matters as much for dashboards as it does for iPhonesHow to build analytics products that drive action, not just curiosityThe mindset shift that earns analytics a seat at the tableConnect with us:Website: https://thedatastorytellers.com/LinkedIn: https://www.linkedin.com/company/the-data-storytellersApple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xaYouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 – Introduction to Anthony Jackel and his role at Ferrara03:35 – Building Ferrara’s analytics team from scratch07:42 – The problem with dashboards and low-value data work11:50 – Connecting analytics to business decisions and revenue16:25 – The importance of commercial empathy for data leaders20:18 – Getting out of the service provider mindset25:04 – Translating technical insights for non-technical audiences28:45 – Why building trust is more important than being right33:29 – Lessons from finance that shaped his analytics approach37:12 – Coaching and developing high-performing analytics talent41:05 – The challenge of balancing curiosity with execution45:18 – Internal marketing and the power of repeatable wins49:56 – Final advice for future analytics leaders📍 Chapter Timestamps (Finalized for 50:13 runtime)

In this episode of The Data Storytellers Podcast, we sit down with Ylan Kazi, Chief Data & AI Officer at Blue Cross Blue Shield of North Dakota, to cut through the noise around enterprise AI. Ylan explains why early machine learning hype never matched operational reality, how LLMs changed the game once they became accessible to anyone, and why most AI failures stem from cultural friction rather than technical limitations. He breaks down the gap between expectations and actual ROI, the overlooked complexity behind agentic AI, and the fundamental difference between inserting AI into old workflows and redesigning processes to be AI native.We also explore the economic and societal contours of the current AI cycle, including energy constraints, the cultural backlash against AI generated content, and why exponential progress looks slow until it doesn’t. Ylan shares what the coming micro bubbles might look like, how labor markets are shifting, and why new technology forces each of us to examine the meaning of human work. We end with a look at his AI Edge newsletter and what he is tracking as this transformation accelerates.Chapters:00:00 Introductions and Ylan’s early AI skepticism04:30 Traditional AI vs generative AI and why prompting skill matters08:00 Why enterprise ROI lags and why most failures are cultural12:00 The economics of LLMs, energy constraints, and infrastructure realities18:00 Agentic AI, undocumented processes, and why value requires redesign25:00 Automation, talent pipelines, and shifts in labor markets34:00 Cultural reactions to AI content and the value of human creation45:00 The case for micro bubbles and faster boom bust cycles57:00 Ylan’s newsletter, what he is writing about, and closing thoughts

In this episode of The Data Storytellers Podcast, we sit down with Ron Hetrick, Principal Economist at Lightcast, to unpack the deep structural issues driving the U.S. labor shortage. Ron explains why this is not a short-term blip but a long-term demographic shift that will redefine how companies hire, grow, and operate. From fertility rate collapse and immigration policy to flawed assumptions about productivity, he helps us understand the real economic forces reshaping the talent landscape.We explore why AI and automation are not the silver bullets many executives hope for, and what leaders should focus on instead. Ron also shares what economists missed about remote work, the dangers of oversimplified labor data, and how companies can rethink workforce strategy in an age of persistent scarcity.Chapters:00:00 – Introductions and Ron’s career path from TV to economics03:12 – What’s really driving the U.S. labor shortage07:21 – Why this isn’t a temporary workforce dip11:44 – The demographic math no one is talking about15:32 – Immigration, fertility, and the myth of the "lazy worker"20:10 – Why unemployment stats don’t tell the full story25:33 – The silent shift from job scarcity to talent scarcity30:48 – What economists missed about remote work and productivity36:15 – The false hope of automation as a labor solution41:09 – How companies are overestimating what AI can replace46:27 – The hard ceiling of productivity without people51:12 – Forecasting the long-term consequences of talent shortages56:33 – What future-ready organizations are doing differently1:01:44 – Redesigning workforce strategy for a shrinking labor pool1:06:28 – Advice for leaders on adapting to the new labor reality1:10:13 – Final thoughts on demographic truth vs tech hype

On this episode of The Data Storytellers Podcast, Rich Heimann, author of Doing AI, GenAI Revealed, and the newly released Sutskever's List, joins us for a deep and provocative conversation on why most enterprise AI initiatives fail.Rich unpacks how internal power structures, belief systems, and corporate incentives shape what AI gets funded, how it's framed, and why so many efforts fall short. We explore the gap between organizational theater and technical progress, and why understanding human systems matters more than mastering the technical stack.If you're an AI or data leader struggling with implementation, this episode offers a fresh lens that might explain why the problem isn't your model.Want more? Rich’s new book Sutskever’s List: Foundational Ideas of Modern AI is now available — and you can get it HERE with 45% off.Chapters:00:00 – Introductions and Rich’s background02:44 – The real reasons AI adoption fails in enterprise settings07:12 – Power, status, and the illusion of AI progress12:25 – Why many AI initiatives are more about performance than impact17:31 – Data science vs business theater: who’s really calling the shots?21:50 – Cultural friction: how belief systems shape technical outcomes26:43 – Rich on the danger of over-rationalizing human systems32:17 – Lessons from behavioral economics and AI ethics37:09 – What leaders pretend to want vs what they actually support42:03 – Redefining AI success: who gets to decide what matters?47:58 – Stories vs truth: how narratives become strategy53:11 – The objectivity myth and why some orgs cling to it59:04 – LLMs, RAGs, and the current moment of hype1:04:50 – Why technologists need to understand organizational design1:09:44 – Advice for AI leaders trying to make change stick1:14:02 – Final reflections on trust, transformation, and learning

In this episode of The Data Storytellers Podcast, we speak with Jodi Blomberg, VP of AI and Machine Learning at Cox Automotive. Jodi shares her experience leading AI transformation at scale in a highly regulated, legacy-rich environment.We explore how to balance long-term R&D with immediate impact, why trust and humility are critical in AI leadership, and how to move from proofs of concept to deployed products that make a real difference. Jodi also discusses the cultural and operational shifts required to truly embed AI in the enterprise and her own career journey from econometrics to machine learning.Connect with us:Website: https://thedatastorytellers.com/LinkedIn: https://www.linkedin.com/company/the-data-storytellersApple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xaYouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 – Introduction and Jodi Blomberg’s role at Cox Automotive02:44 – The mission of the AI and Machine Learning team06:12 – Where AI is driving value in automotive ecosystems10:25 – Lessons learned leading data teams in legacy orgs14:01 – Balancing long-term R&D with business impact18:17 – Why successful AI teams don’t chase shiny objects22:39 – The cultural change required for enterprise AI26:15 – From proof of concept to production in a regulated space30:34 – Jodi’s career path from econometrics to applied AI35:48 – The role of humility and empathy in AI leadership40:09 – Bringing executive stakeholders on the journey

In this episode of The Data Storytellers Podcast, we speak with Elena Alikhachkina, Chief Data and AI Officer at TE Connectivity. With a background spanning Pfizer, Johnson & Johnson, Nestlé, and now one of the world’s largest industrial tech companies, Elena shares what it takes to lead AI transformation across global, complex organizations.We talk about the realities of operationalizing data and AI in manufacturing, the soft skills required to drive trust and adoption, and how to move from use cases to enterprise value. Elena also reflects on how she built her career across industries, why curiosity is her superpower, and how data leaders can move from technical execution to strategic leadership.Connect with us:Website: https://thedatastorytellers.com/LinkedIn: https://www.linkedin.com/company/the-data-storytellersApple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xaYouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 – Introduction and Elena’s current role at TE Connectivity02:41 – Why AI transformation is a leadership challenge, not a tech one06:50 – How to build trust across functions when driving change10:22 – The power of storytelling in operational environments14:36 – Creating a data strategy that scales globally18:58 – Why speed alone is not a data strategy23:11 – Aligning AI with core business priorities27:04 – Moving from isolated use cases to enterprise-wide value31:17 – Lessons from Nestlé and Johnson & Johnson36:03 – Defining value clearly in industrial use cases40:40 – The evolution of the Chief Data and AI Officer role44:12 – Building multidisciplinary teams that earn business trust49:18 – Advice for data leaders entering legacy-heavy environments53:46 – Why curiosity, empathy, and resilience matter most58:03 – How Elena built her career across industries and functions1:03:40 – What’s next in data and AI at TE Connectivity1:08:12 – Closing thoughts on leadership, impact, and lifelong learning

In this episode of The Data Storytellers Podcast, we speak with Rangan Gangavaram, Senior Director of Analytics & Insights at Verizon, about the promise and pitfalls of agentic AI. Rangan shares why agentic AI is more than just another automation wave, how it differs from RPA, and why its reasoning capabilities could redefine customer interactions.We discuss the decision frameworks enterprises need to adopt, the importance of stakeholder-driven adoption, and how AI transformations resemble the digital era more than traditional data initiatives. Rangan also reflects on his career journey from engineering to analytics leadership and the pivotal role of storytelling in driving AI adoption.Connect with us:Website: https://thedatastorytellers.com/LinkedIn: https://www.linkedin.com/company/the-data-storytellersApple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xaYouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 – Introduction and reconnecting after past conversations01:15 – Why agentic AI is the real deal for enterprises04:32 – Comparing agentic AI to RPA and automation07:55 – The multiplier effect of AI-driven reasoning12:41 – Do today’s AI models really reason?17:14 – Understanding the driver behind customer problems19:03 – Key risks and pitfalls in deploying agentic AI25:12 – Why stakeholder buy-in is essential for adoption28:40 – AI strategy as part of a holistic transformation32:58 – How AI transformation mirrors the digital revolution36:46 – Managing cost concerns for AI at scale40:33 – Rangan’s career path into data and analytics46:12 – The importance of storytelling in analytics leadership52:10 – Advice for aspiring professionals in data and AI54:40 – Closing reflections and future collaboration

In this episode of The Data Storytellers Podcast we speak with Eric Gonzalez, CEO of Omnificity. Eric explains why strong data foundations are more critical than chasing shiny AI solutions and shares how to educate stakeholders without killing their enthusiasm.We explore how to avoid falling into proof of concept purgatory, how to prioritize initiatives based on impact and feasibility, and how to navigate the organizational egos that often get in the way of real progress. Eric also reflects on his career journey from neuroscience and economics to data leadership and offers actionable advice for building trust and clarity in your organization.Connect With Us:Website: https://thedatastorytellers.com/ LinkedIn: https://www.linkedin.com/company/the-data-storytellers Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xaYouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 – Introduction and Eric’s take on AI’s rapid democratization01:08 – Why most enterprises are not ready for AI yet05:30 – How to inspire executives without shutting down excitement07:26 – Examples of AI replacing boring and monotonous tasks14:44 – Why companies get stuck in proof of concept purgatory19:41 – The pitfalls of synthetic data and model collapse24:16 – The limitations of large language models and what comes next28:35 – How to approach stakeholders about real business impact32:57 – Eric’s journey from neuroscience to business intelligence40:29 – Lessons learned working across industries44:31 – Why data teams must align information flows with decision flows55:26 – A prioritization framework for enterprise use cases1:02:16 – The biggest bottleneck in organizations is ego1:04:01 – What Dan Gilbert taught about listening to every idea1:07:53 – Closing thoughts and where to follow Eric’s work

In this episode of The Data Storytellers Podcast, we speak with Nurtekin Savas, VP and Head of Global Credit Infrastructure, Data & AI at PayPal. Nurtekin shares how PayPal balances innovation with responsibility as it scales global credit products powered by data and AI.From structuring modern analytics platforms to influencing stakeholders and fostering experimentation in regulated environments, Nurtekin offers actionable insights for data leaders navigating fintech complexity. He also reflects on the value of storytelling, leadership trust, and aligning infrastructure with business goals at scale.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 – Intro: Meet Nurtekin Savas, PayPal’s Head of Global Credit Infrastructure, Data & AI04:52 – What Nurtekin’s team owns across data, platforms, and credit09:45 – The connective tissue between data, infrastructure, and product14:38 – From AOL to PayPal: a 20+ year fintech journey19:31 – Why compliance and experimentation must coexist24:24 – Building the muscle for responsible innovation29:17 – Creating space to learn and fail in a high-stakes environment34:10 – Platform architecture: building what’s needed vs. shiny objects39:03 – Gaining buy-in from senior leadership on infrastructure investments43:56 – The importance of storytelling in analytics and AI48:49 – Decision rights, influence, and organizational trust53:42 – Growing talent: what makes a great data leader58:35 – Lessons from past roles: Visa, Amazon, Capital One, Fidelity63:28 – Building systems that scale responsibly across borders68:21 – Trends Nurtekin is watching in AI and credit innovation73:14 – Final thoughts on leadership, curiosity, and execution78:07 – Wrap-up and closing insights

On this episode of The Data Storytellers Podcast, we speak with Mikel Davis, VP of Strategic Analytics at Peacock. Mikel shares her journey from early analytics roles in sports and entertainment—including the Cleveland Cavaliers and Legendary Pictures—to leading customer and growth strategies at one of the world’s top streaming platforms.We explore how data is transforming marketing, content, and customer experience across industries, and the leadership skills that help drive real cultural change in large organizations.Connect With Us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 – Introduction00:36 – The rise of AI: déjà vu from the early data days02:15 – From data literacy to AI fluency: is it just rebranding?04:52 – Laszlo’s path from military intel to analytics through marketing06:21 – Mikel’s current role at Peacock and team’s mandate07:33 – How Mikel accidentally discovered analytics in college09:30 – Economics + statistics = the original analytics degree11:03 – From Accenture to the Cleveland Cavaliers13:15 – Selling tickets with data: pre-LeBron vs. post-LeBron15:02 – Pandora’s predictive personalization and data obsession17:35 – Streaming disruption: what seemed crazy is now normal18:24 – How LeBron changed Mikel’s job and career path21:43 – Moving to film: data innovation at Legendary Entertainment23:55 – F1 Movie example: modernizing film marketing with data27:56 – Using data to greenlight and cast films more strategically29:52 – Balancing art and science in content creation31:29 – Transition to AT&T: data for customer retention33:33 – The big challenge: keeping cable customers in the streaming era34:02 – The streaming boom and Netflix as a data pioneer35:33 – Joining NBCUniversal: centralizing customer data36:59 – Launching Peacock and driving strategic growth37:46 – Mikel’s career playbook: building data-driven cultures38:15 – Adapting insights to executives vs. operations40:24 – Building trust through stakeholder empathy and flexibility42:24 – The power of asking good questions and connecting people43:46 – The #1 blocker: when success without data breeds resistance44:56 – AI parallels: augmenting, not replacing, human judgment46:02 – Closing thoughts

In this episode of The Data Storytellers Podcast, we reconnect with Juan Gorricho—former Chief Data Officer at Disney Credit Union and senior data leader at Visa and TD Bank. Juan shares what he’s learned across two decades leading data strategy in some of the world’s most recognized organizations.We discuss the rise of AI-washing, how to lead with impact amid transformation, and the leadership principles that matter most—like stakeholder trust, organizational readiness, and building a culture that attracts top talent.Connect with us:Website: The Data StorytellersLinkedIn: The Data StorytellersSpotify: The Data Storytellers PodcastYouTube: The Data Storytellers ChannelApple Podcast: Listen on AppleTimestamps:00:00 – Welcome back Juan Gorricho: From Visa to TD and beyond01:57 – What’s exciting about AI right now? Cutting through the noise04:28 – Why is everything labeled “AI”? Understanding AI-washing08:57 – Capital deployment, FOMO, and false promises in the AI boom10:52 – The real readiness challenge: People, processes, and data14:29 – Balancing urgency with realism: Data leaders in the AI age17:13 – How talent expectations are evolving in data teams21:13 – Early lessons from working with the UN and city government26:47 – From tech to operations: Building trust and data solutions at Disney32:11 – Forecasting Frozen: Data stories from retail at scale35:00 – MagicBands, privacy, and doing data right at Disney38:05 – Lessons in stakeholder engagement and change management43:11 – Building the data experience at Visa50:58 – Leading TD’s U.S. data transformation and cloud migration56:23 – What’s next: Using GenAI to accelerate real business value1:00:23 – Juan’s career playbook: Trust, empathy, and continuous learning1:08:53 – Final thoughts and what’s ahead

On this episode of The Data Storytellers Podcast, we explore how data science is transforming the sports and entertainment industry with insights from Scott McDade, VP of Data Science at Aramark. Scott shares how his team leverages real-time data, predictive analytics, and AI to enhance fan experiences, optimize operations, and drive profitability at major venues across the U.S.We discuss building a data-driven culture, the challenges of AI adoption, and the importance of trust and governance in analytics. Scott also reflects on his career journey from sports marketing to data leadership and how data teams can become trusted business advisors rather than just reporting functions.Connect With Us:Website: The Data StorytellersLinkedIn: The Data StorytellersSpotify: The Data Storytellers PodcastYouTube: The Data Storytellers ChannelApple Podcast: Listen on AppleChapters:00:00 - Introduction to Scott McDade and Aramark00:59 - A special recording on a birthday & reflections on 202402:06 - What is Aramark? The hidden force behind sports & entertainment experiences05:19 - How data science impacts customer experience at sporting venues08:30 - Scott’s career journey: From sports marketing to data science11:05 - The evolution of data analytics at Aramark & post-pandemic transformations13:50 - Driving a data-driven culture: How Aramark fosters data curiosity16:14 - The rise of AI: Hype vs. practical applications in business21:55 - Balancing data quality, governance, and AI-driven automation26:44 - The psychology of decision-making: Gut instinct vs. data-driven choices33:45 - The 3 principles for driving data success in large organizations38:21 - Infusing objectivity into business culture through analytics43:08 - Using data as a relationship tool to build trust with stakeholders47:34 - Moving beyond dashboards: Becoming a trusted business advisor48:45 - Closing thoughts: The future of data teams and AI in hospitality

On this episode of The Data Storytellers Podcast, we sit down with Eric Hornyak, Director of Data Visualization at Sunbelt Rentals, to discuss how data teams can bridge the gap between analytics and business action through better communication, data storytelling, and strategic reporting.Eric shares his playbook for engaging business leaders, breaking down complex analytics into actionable insights, and building trust through over-communication and delivering results. We explore how Sunbelt leverages data visualization, AI, and predictive analytics to optimize operations, improve decision-making, and enhance customer experiences.This episode is packed with insights for analytics professionals looking to elevate their impact and move beyond dashboards to drive real business change.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 - Introduction to Eric Hornyak and Sunbelt Rentals02:13 - How analytics impacts Sunbelt’s customers and operations05:09 - Eric’s career journey: From history major to data leader08:26 - The evolution of analytics at Sunbelt Rentals10:24 - The biggest challenges in driving analytics impact12:12 - The key to building trust in data teams: Over-communication15:45 - How to develop strong relationships with business stakeholders18:00 - The “send it to yourself” email hack for executive communication21:26 - The 3-30-3 framework for designing high-impact reports26:24 - AI, data visualization, and the future of analytics29:43 - The biggest opportunities for data professionals in the next 5 years33:17 - Eric’s playbook: Key takeaways for data leaders

On this episode of The Data Storytellers Podcast, we welcome back Aaron Fossum, Senior Director of Digital Analytics at Norwegian Cruise Line, to explore how data teams can bridge the gap between insights and business action. Aaron shares the playbook he presented at the Leading Business Change with Analytics & AI Masterclass, detailing how his team translates analytics into meaningful business impact.We dive into building a data-driven culture, refining analytics processes, and enabling better decision-making through structured insights, automation, and stakeholder collaboration. Aaron also discusses the challenges of managing ad hoc reporting vs. strategic analytics, and how teams can position themselves as trusted advisors rather than report vending machines.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:00 - Introduction to Aaron Fossum and Norwegian Cruise Line02:22 - What NCL does and Aaron’s role in digital analytics06:03 - How to turn data insights into real business action10:57 - Why data alone isn’t valuable without execution13:58 - The three types of analytics projects in business20:00 - How to escape the “report vending machine” trap22:48 - Moving from ad-hoc meetings to structured conversations26:41 - How to build trust and credibility as an analytics team32:53 - Focusing on the most important business problems39:21 - Creating a culture of curiosity and self-directed analytics47:37 - Key questions for teams looking to improve their analytics processes51:19 - Aaron’s vision for data at Norwegian Cruise Line in 2025

In this long-waited episode of The Data Storytellers Podcast, we welcome back Alex Dragan, Vice President of Enterprise Data and Analytics at Four Seasons, to dive into the transformative power of data-driven decision-making in the luxury hospitality industry.Alex shares his perspective of the evolution of data-driven enterprise transformation, the challenges and successes of innovation, and his unique playbook for data leadership.Transformative Data Utilization Alex highlights the importance of leveraging data as a strategic asset to drive business decisions, foster innovation, and deliver personalized guest experiences.He outlines a three-fold approach: data literacy and culture, business intelligence, and advanced analytics.Trusted Data Practices Governance is framed as the "silent hero," essential for building trust in data systems and enabling effective AI and analytics initiatives.Alex stresses the importance of aligning organizational standards with data quality and creating clear ownership and accountability.Data Infrastructure and Integration Integration of cloud and on-premises systems is critical for scalability, future-proofing, and enabling advanced analytics like AI and machine learning.Alex views the relationship between data and technology as cyclical, where each amplifies the other.Data-Driven ExperiencesEnterprise data excellence and Leveraging data analytics and AI to create amazing amazing experiences.AI as a tool that amplifies human creativity and team performance, especially when embedded in intelligent, trusted data practices.This episode showcases the cutting-edge use of enterprise data and provides a clear and actionable roadmap for any organization aiming to build data-driven customer experiences and operational excellence.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:08 – Introduction to Alex Dragan and his role at Four Seasons.01:36 – Building data and analytics capabilities for the commercial team and launching the Enterprise Data Hub.03:41 – Simplifying data strategy as a transformative asset and defining its key pillars.05:28 – Transformative Data Utilization: Driving insights, personalization, and smart decision-making.10:00 – Promoting data literacy and creating a data-driven culture.14:36 – The role of business intelligence, dashboards, and advanced analytics in enabling fast, evidence-based decisions.20:00 – Trusted data practices and governance as the foundation of effective data programs.25:53 – Building partnerships between data users, owners, and stewards to drive successful data initiatives.30:38 – Data infrastructure and integration: Cloud advancements and the future of scalable analytics.35:00 – Enhancing guest journeys and creating personalized, seamless experiences with data and AI.40:28 – Reflections on the mission of data leadership and the future of analytics in hospitality.

On this episode of The Data Storytellers podcast, we delve into the mastery of asynchronous data communication with Laszlo Mucsi and Dave Coughlin. We explore the art of transforming data into compelling stories, crafting impactful presentations, and the techniques of visual data storytelling. Learn how to navigate the challenges of data presentation, build cohesive data narratives, and elevate business outcomes through effective data communication strategies.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Chapters:00:00 - Introduction to Laszlo Mucsi and Dave Coughlin08:00 - Discussing the importance of PowerPoint mastery in data communication15:30 - Techniques for creating impactful presentations23:45 - Strategies for asynchronous data communication32:10 - Crafting compelling data narratives40:25 - Overcoming common challenges in data presentation49:30 - The role of visual analytics in business communication57:15 - Building a cohesive data narrative1:05:00 - Advanced strategies for data-driven impact1:13:20 - Examples of successful data-driven presentations1:20:45 - Tips for effective asynchronous communication with data1:30:30 - Elevating business outcomes through data storytelling1:38:00 - Effective use of aesthetics in data slides1:45:25 - Copywriting techniques for data presentations1:53:10 - The importance of concise communication in data storytelling2:00:45 - Final thoughts and conclusions on asynchronous data communication

In this episode, we welcome back Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota, to discuss the transformative power of data strategy and AI in healthcare. Discover how Ylan and his team are building data literacy, overcoming organizational challenges, and leveraging generative AI for innovation."Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmAChapters:00:06 – Introduction to Elon Kazi and his role in the Data Storytellers community.01:04 – The foundation of data leadership and crafting a playbook for Chief Data Officers.02:19 – Deep dive into prioritization in data leadership.03:08 – Ylan Kazi’s role and journey as Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota.05:10 – The significance of data strategy in organizations and upcoming discussions in the Data Storytellers community.06:46 – Simplifying the concept of data strategy for business leaders.08:45 – Clarifying the roles of Chief Data Officers and their evolving responsibilities.12:20 – Informal beginnings of data leadership roles and building a formal Chief Data Officer position.14:25 – Cultivating a data-centric culture and promoting data literacy.20:00 – Approaches to implementing data literacy programs: Internal vs. external strategies.24:13 – Identifying metrics for measuring the success of data literacy programs.30:31 – Exploring generative AI’s rapid rise and its impact on businesses.34:42 – Preparing for the challenges and realities of implementing AI in organizations.38:47 – Discussing bias in AI and its implications for innovation and societal impact.42:57 – Closing thoughts and the importance of community discussions in data leadership.

On this episode of The Data Storytellers podcast, we explore the transformative power of visual storytelling in data science with Laszlo Mucsi and Dave Coughlin. We discuss the essential techniques for creating impactful presentations, the art of crafting compelling data narratives, and the importance of mastering PowerPoint for data professionals. Learn how to elevate your business communication and unleash the potential of visual analytics.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Chapters:00:00 - Introduction to Laszlo Mucsi and Dave Coughlin05:00 - The importance of visual storytelling in data science12:30 - Techniques for creating impactful data presentations20:00 - Crafting compelling data narratives27:15 - Mastering PowerPoint for data professionals35:00 - Overcoming common challenges in data presentation42:45 - The role of visual analytics in business communication50:30 - Examples of successful data-driven presentations59:15 - Tips for effective asynchronous communication with data1:05:00 - Final thoughts and conclusions on visual data storytelling

On this episode of The Data Storytellers podcast, we dive deep into the evolution and future of data analytics. Join us as we explore the journey of Alix Rice from Compass Group, who shares his insights on transforming organizations through data mastery, the importance of data governance, and the critical role of human-centric design in analytics. We discuss the challenges of digital transformation, the impact of AI and machine learning, and how to build a data-driven culture that drives business success.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Chapters:00:00 - Introduction to Alex Reiss and Compass Group00:14 - Career background and the start of the data journey02:40 - Importance of networking and collaboration in data analytics05:00 - Transition from pre-med to data analytics07:44 - The evolution of data analytics and its increasing importance10:13 - Perceptions and roles of data analytics in organizations12:32 - Foundational themes in data governance and mindset shifts18:26 - The significance of data quality in AI implementation27:00 - Digital transformation and its impact on data strategies35:00 - Customer-centric approaches in data analytics43:54 - Human-centric design and the future of data products

On this episode of The Data Storytellers podcast, we delve into the intricacies of leadership dynamics in data science with Laszlo Mucsi and Dave Coughlin. We explore the roles of superordinate and subordinate communication, the power of persuasion, and the art of transforming data narratives for maximum impact. Learn how to drive organizational change, master business communication, and build a persuasive data-driven culture.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Chapters:00:00 - Introduction to Laszlo Mucsi and Dave Coughlin06:00 - Discussing the importance of superordinate communication12:30 - The role of persuasion in data-driven decisions18:45 - Transforming data narratives for maximum impact25:10 - Strategies for effective data science leadership32:00 - Overcoming challenges in data communication38:15 - Building a persuasive data-driven culture45:00 - Navigating subordinate roles in data science52:30 - The importance of business communication for data scientists1:00:00 - Driving organizational change with data insights1:10:00 - Final thoughts and conclusions on leadership dynamics in data science