Afleveringen
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What happens when a technology starts to look, sound, and reason like us?
Taylor Black, Director of the AI Ventures Ecosystem in the CTO’s Office at Microsoft, has spent his career at the intersection of data, venture building, and emerging technology. From bootstrapping a SaaS company to helping shape early stage AI innovation inside one of the world’s largest technology organizations, Taylor brings a rare long term perspective on what AI is, and what it is not.
In this conversation, we explore how today’s AI moment compares to past technological revolutions, why most current AI applications are still low hanging fruit, and where the real economic and organizational disruption is likely to come from next.
We discuss the limits of automation, the rise of agentic systems, the moral responsibility of those building AI, and why the hardest work ahead is not technical, but cultural.
This is a wide ranging discussion on AI, human work, governance, and the difference between making hard things easier versus making impossible things merely difficult.
Connect with us:
Website: https://thedatastorytellers.com/
LinkedIn: https://www.linkedin.com/company/the-data-storytellers
Apple Podcasts: 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 – Introducing Taylor Black and his role at Microsoft
04:00 – From bootstrapped SaaS founder to data driven decision making
10:30 – Learning to translate technical insight into business value
16:30 – Venture studios, zero to one work, and entering Microsoft
23:30 – How ChatGPT changed perception inside large organizations
28:00 – The steam engine analogy and why infrastructure matters
33:30 – AI, work, and why modern jobs already felt broken
40:00 – Presence, remote work, and the limits of digital collaboration
46:00 – AI optimism, AI fear, and misunderstanding the technology
52:00 – What large language models actually are and are not
58:30 – Governance, moral responsibility, and who shapes AI
1:05:30 – Agentic systems, job disruption, and what comes next -
In this episode of The Data Storytellers Podcast, we speak with Albert Mangahas, a data and analytics leader now at Roo. Albert shares how his path from industrial engineering and SQL led him into data leadership roles across PwC, Green Dot, Facebook, Turo, and now Roo.
We explore how trust in data became a foundation of Albert’s career, how marketplaces like Turo balance supply, demand, safety, and user experience, and what it takes to scale data teams through rapid growth and crisis. Albert also discusses his time at Facebook, how Turo navigated the pandemic, and why the real opportunity with AI may be less about replacing people and more about scaling better business insight.
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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00: Introduction and Albert’s first time in Vancouver
01:50: From computer science to industrial engineering
03:50: The SQL class that sparked Albert’s interest in data
06:04: PwC, auditing, and building trust in data
13:36: Moving into retail fintech at Green Dot
17:28: Mobile banking, underbanked customers, and Instant Pay
20:11: From BI reporting to analytics, finance, and FP&A
21:57: Joining Turo and taking on analytics, FP&A, and fundraising
26:43: The Turo business model and the case for peer-to-peer car sharing
34:39: How two-sided marketplaces balance supply and demand
40:14: Trust, safety, insurance, and managing marketplace risk
45:53: Facebook, Cambridge Analytica, and data transparency
48:42: Leadership, influence, and measuring complex platform problems
57:46: Why Albert returned to Turo
58:57: COVID, travel shutdowns, and wartime data leadership
1:06:15: Profitability, supply growth, and marketplace resilience
1:09:07: AI, trust, and the future of business decision-making
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Zijn er afleveringen die ontbreken?
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In this episode of The Data Storytellers Podcast, we speak with Dejan Mitkovski, a data and technology leader whose career has spanned Microsoft, Amazon, Google, FanDuel, and BetMGM. Dejan reflects on the last 25 years of digital transformation, from the early days of relational databases and BI tools to the rise of big data, data science, machine learning, and AI.
We explore how data leadership has evolved from reporting to prediction, why legacy organizations struggle to adopt new technologies, and how leaders can prove value through small, practical tests. Dejan also discusses the difference between traditional machine learning and AI, the importance of data quality and governance, and why curiosity, discomfort, and people leadership remain central to building successful data organizations.
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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00: Introduction and Dejan’s return to Vancouver
03:43: The 25-year arc of data, digital transformation, and AI
04:26: Early influences, science, and choosing a different career path
09:40: First exposure to analytics and the move into Microsoft
12:20: Relational databases, Hadoop, and the early digital era
16:07: Stitching data together, personalization, and the rise of BI
20:38: Big data, data science, and the shift from reporting to prediction
29:35: Amazon, mentorship, forecasting, and thinking like an owner
37:02: Google, legacy industries, and the challenge of changing how companies work
42:35: Proving value through small tests and cultural adoption
50:45: Machine learning, measurement, and what makes AI different
59:41: FanDuel, data products, governance, and scaling a data organization
1:10:51: ChatGPT, generative AI, and the limits of messy data
1:18:18: BetMGM, AI enablement, and lessons for data leaders
1:21:58: Curiosity, discomfort, and the human side of leadership
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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-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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00 – Introduction to Anthony Jackel and his role at Ferrara
03:35 – Building Ferrara’s analytics team from scratch
07:42 – The problem with dashboards and low-value data work
11:50 – Connecting analytics to business decisions and revenue
16:25 – The importance of commercial empathy for data leaders
20:18 – Getting out of the service provider mindset
25:04 – Translating technical insights for non-technical audiences
28:45 – Why building trust is more important than being right
33:29 – Lessons from finance that shaped his analytics approach
37:12 – Coaching and developing high-performing analytics talent
41:05 – The challenge of balancing curiosity with execution
45:18 – Internal marketing and the power of repeatable wins
49:56 – Final advice for future analytics leaders📍 Chapter Timestamps (Finalized for 50:13 runtime)
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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 skepticism
04:30 Traditional AI vs generative AI and why prompting skill matters
08:00 Why enterprise ROI lags and why most failures are cultural
12:00 The economics of LLMs, energy constraints, and infrastructure realities
18:00 Agentic AI, undocumented processes, and why value requires redesign
25:00 Automation, talent pipelines, and shifts in labor markets
34:00 Cultural reactions to AI content and the value of human creation
45:00 The case for micro bubbles and faster boom bust cycles
57:00 Ylan’s newsletter, what he is writing about, and closing thoughts -
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-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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00 – Introduction and Jodi Blomberg’s role at Cox Automotive
02:44 – The mission of the AI and Machine Learning team
06:12 – Where AI is driving value in automotive ecosystems
10:25 – Lessons learned leading data teams in legacy orgs
14:01 – Balancing long-term R&D with business impact
18:17 – Why successful AI teams don’t chase shiny objects
22:39 – The cultural change required for enterprise AI
26:15 – From proof of concept to production in a regulated space
30:34 – Jodi’s career path from econometrics to applied AI
35:48 – The role of humility and empathy in AI leadership
40:09 – 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-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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00 – Introduction and Elena’s current role at TE Connectivity
02:41 – Why AI transformation is a leadership challenge, not a tech one
06:50 – How to build trust across functions when driving change
10:22 – The power of storytelling in operational environments
14:36 – Creating a data strategy that scales globally
18:58 – Why speed alone is not a data strategy
23:11 – Aligning AI with core business priorities
27:04 – Moving from isolated use cases to enterprise-wide value
31:17 – Lessons from Nestlé and Johnson & Johnson
36:03 – Defining value clearly in industrial use cases
40:40 – The evolution of the Chief Data and AI Officer role
44:12 – Building multidisciplinary teams that earn business trust
49:18 – Advice for data leaders entering legacy-heavy environments
53:46 – Why curiosity, empathy, and resilience matter most
58:03 – How Elena built her career across industries and functions
1:03:40 – What’s next in data and AI at TE Connectivity
1:08:12 – 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 conversations
01:15 – Why agentic AI is the real deal for enterprises
04:32 – Comparing agentic AI to RPA and automation
07:55 – The multiplier effect of AI-driven reasoning
12:41 – Do today’s AI models really reason?
17:14 – Understanding the driver behind customer problems
19:03 – Key risks and pitfalls in deploying agentic AI
25:12 – Why stakeholder buy-in is essential for adoption
28:40 – AI strategy as part of a holistic transformation
32:58 – How AI transformation mirrors the digital revolution
36:46 – Managing cost concerns for AI at scale
40:33 – Rangan’s career path into data and analytics
46:12 – The importance of storytelling in analytics leadership
52:10 – Advice for aspiring professionals in data and AI
54:40 – Closing reflections and future collaboration -
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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00 – Intro: Meet Nurtekin Savas, PayPal’s Head of Global Credit Infrastructure, Data & AI
04:52 – What Nurtekin’s team owns across data, platforms, and credit
09:45 – The connective tissue between data, infrastructure, and product
14:38 – From AOL to PayPal: a 20+ year fintech journey
19:31 – Why compliance and experimentation must coexist
24:24 – Building the muscle for responsible innovation
29:17 – Creating space to learn and fail in a high-stakes environment
34:10 – Platform architecture: building what’s needed vs. shiny objects
39:03 – Gaining buy-in from senior leadership on infrastructure investments
43:56 – The importance of storytelling in analytics and AI
48:49 – Decision rights, influence, and organizational trust
53:42 – Growing talent: what makes a great data leader
58:35 – Lessons from past roles: Visa, Amazon, Capital One, Fidelity
63:28 – Building systems that scale responsibly across borders
68:21 – Trends Nurtekin is watching in AI and credit innovation
73:14 – Final thoughts on leadership, curiosity, and execution
78:07 – 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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00 – Introduction
00:36 – The rise of AI: déjà vu from the early data days
02:15 – From data literacy to AI fluency: is it just rebranding?
04:52 – Laszlo’s path from military intel to analytics through marketing
06:21 – Mikel’s current role at Peacock and team’s mandate
07:33 – How Mikel accidentally discovered analytics in college
09:30 – Economics + statistics = the original analytics degree
11:03 – From Accenture to the Cleveland Cavaliers
13:15 – Selling tickets with data: pre-LeBron vs. post-LeBron
15:02 – Pandora’s predictive personalization and data obsession
17:35 – Streaming disruption: what seemed crazy is now normal
18:24 – How LeBron changed Mikel’s job and career path
21:43 – Moving to film: data innovation at Legendary Entertainment
23:55 – F1 Movie example: modernizing film marketing with data
27:56 – Using data to greenlight and cast films more strategically
29:52 – Balancing art and science in content creation
31:29 – Transition to AT&T: data for customer retention
33:33 – The big challenge: keeping cable customers in the streaming era
34:02 – The streaming boom and Netflix as a data pioneer
35:33 – Joining NBCUniversal: centralizing customer data
36:59 – Launching Peacock and driving strategic growth
37:46 – Mikel’s career playbook: building data-driven cultures
38:15 – Adapting insights to executives vs. operations
40:24 – Building trust through stakeholder empathy and flexibility
42:24 – The power of asking good questions and connecting people
43:46 – The #1 blocker: when success without data breeds resistance
44:56 – AI parallels: augmenting, not replacing, human judgment
46:02 – 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 Storytellers
LinkedIn: The Data Storytellers
Spotify: The Data Storytellers Podcast
YouTube: The Data Storytellers Channel
Apple Podcast: Listen on Apple
Timestamps:
00:00 – Welcome back Juan Gorricho: From Visa to TD and beyond
01:57 – What’s exciting about AI right now? Cutting through the noise
04:28 – Why is everything labeled “AI”? Understanding AI-washing
08:57 – Capital deployment, FOMO, and false promises in the AI boom
10:52 – The real readiness challenge: People, processes, and data
14:29 – Balancing urgency with realism: Data leaders in the AI age
17:13 – How talent expectations are evolving in data teams
21:13 – Early lessons from working with the UN and city government
26:47 – From tech to operations: Building trust and data solutions at Disney
32:11 – Forecasting Frozen: Data stories from retail at scale
35:00 – MagicBands, privacy, and doing data right at Disney
38:05 – Lessons in stakeholder engagement and change management
43:11 – Building the data experience at Visa
50:58 – Leading TD’s U.S. data transformation and cloud migration
56:23 – What’s next: Using GenAI to accelerate real business value
1:00:23 – Juan’s career playbook: Trust, empathy, and continuous learning
1:08:53 – 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 Storytellers
LinkedIn: The Data Storytellers
Spotify: The Data Storytellers Podcast
YouTube: The Data Storytellers Channel
Apple Podcast: Listen on Apple
Chapters:
00:00 - Introduction to Scott McDade and Aramark
00:59 - A special recording on a birthday & reflections on 2024
02:06 - What is Aramark? The hidden force behind sports & entertainment experiences
05:19 - How data science impacts customer experience at sporting venues
08:30 - Scott’s career journey: From sports marketing to data science
11:05 - The evolution of data analytics at Aramark & post-pandemic transformations
13:50 - Driving a data-driven culture: How Aramark fosters data curiosity
16:14 - The rise of AI: Hype vs. practical applications in business
21:55 - Balancing data quality, governance, and AI-driven automation
26:44 - The psychology of decision-making: Gut instinct vs. data-driven choices
33:45 - The 3 principles for driving data success in large organizations
38:21 - Infusing objectivity into business culture through analytics
43:08 - Using data as a relationship tool to build trust with stakeholders
47:34 - Moving beyond dashboards: Becoming a trusted business advisor
48:45 - Closing thoughts: The future of data teams and AI in hospitality
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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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00 - Introduction to Eric Hornyak and Sunbelt Rentals
02:13 - How analytics impacts Sunbelt’s customers and operations
05:09 - Eric’s career journey: From history major to data leader
08:26 - The evolution of analytics at Sunbelt Rentals
10:24 - The biggest challenges in driving analytics impact
12:12 - The key to building trust in data teams: Over-communication
15:45 - How to develop strong relationships with business stakeholders
18:00 - The “send it to yourself” email hack for executive communication
21:26 - The 3-30-3 framework for designing high-impact reports
26:24 - AI, data visualization, and the future of analytics
29:43 - The biggest opportunities for data professionals in the next 5 years
33:17 - Eric’s playbook: Key takeaways for data leaders
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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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
00:00 - Introduction to Aaron Fossum and Norwegian Cruise Line
02:22 - What NCL does and Aaron’s role in digital analytics
06:03 - How to turn data insights into real business action
10:57 - Why data alone isn’t valuable without execution
13:58 - The three types of analytics projects in business
20:00 - How to escape the “report vending machine” trap
22:48 - Moving from ad-hoc meetings to structured conversations
26:41 - How to build trust and credibility as an analytics team
32:53 - Focusing on the most important business problems
39:21 - Creating a culture of curiosity and self-directed analytics
47:37 - Key questions for teams looking to improve their analytics processes
51:19 - Aaron’s vision for data at Norwegian Cruise Line in 2025
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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 Experiences
Enterprise 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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
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.
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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/UCz9e56lhYUfORiOHMiLlPmA
Chapters:
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.
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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/id1493766476
Chapters:
00:00 - Introduction to Alex Reiss and Compass Group
00:14 - Career background and the start of the data journey
02:40 - Importance of networking and collaboration in data analytics
05:00 - Transition from pre-med to data analytics
07:44 - The evolution of data analytics and its increasing importance
10:13 - Perceptions and roles of data analytics in organizations
12:32 - Foundational themes in data governance and mindset shifts
18:26 - The significance of data quality in AI implementation
27:00 - Digital transformation and its impact on data strategies
35:00 - Customer-centric approaches in data analytics
43:54 - Human-centric design and the future of data products
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On this episode of The Data Storytellers podcast, we explore the critical role of data analytics in transforming the car rental industry with insights from Albert, the Chief Data Officer at Turo. We delve into the importance of data quality, trust, and transparency in business, and discuss how Turo leverages machine learning, predictive models, and data governance to enhance customer experience and drive growth. Albert shares his journey in building a robust data-driven culture, emphasizing the significance of cross-functional collaboration and the evolution of data teams in modern organizations.
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/id1493766476
Chapters:
00:00 - Introduction to Albert and Turo
00:59 - Career background and entry into data roles
01:48 - The role and evolution of the Chief Data Officer at Turo
05:45 - Importance of data in Turo’s business model
11:53 - Founding of Turo and its growth journey
18:51 - Building trust and reliability in the peer-to-peer car sharing marketplace
26:01 - The impact of data analytics on supply and demand management
32:02 - Organizational structure of Turo’s data teams
38:48 - The foundational role of trust in data success
46:39 - The importance of data literacy and governance in business
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On this episode of The Data Storytellers podcast, Kate Goodine joins Laszlo Mucsi to share her journey from Expedia to Miro and now Shutterstock. We delve into the transformative power of data-driven cultures, the importance of experimentation, and the evolving roles in modern data companies. Kate offers insights on leadership, effective data storytelling, and strategies for overcoming challenges in data-driven businesses.
Kate's Book Recommendation: Cultures of Growth by Mary C Murphy
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/id1493766476
Chapters:
00:00 - Introduction to Kate Goodine and her career background
05:00 - Transitioning from Expedia to Miro and then to Shutterstock
10:15 - Building a culture of experimentation in data-driven companies
16:30 - Strategies for effective data storytelling
22:00 - The role of leadership in fostering data-driven innovation
28:45 - Overcoming challenges in data implementation
34:00 - The evolution of data roles in modern companies
40:00 - Powering business decisions with data
44:30 - Final thoughts and conclusions on data-driven cultures
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On this episode of The Data Storytellers podcast, Dejan Mitkovski joins us to explore the intricacies of mastering data strategy and governance. We delve into the importance of building a customer-centric data culture, overcoming data challenges, and leveraging data-driven decision making for business transformation. Dejan shares insights on crafting effective data narratives and the advanced data techniques employed at FanDuel for business growth.
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/id1493766476
Chapters:
00:00 - Introduction to Dejan Mitkovski and his background
06:00 - The importance of data strategy and governance
12:30 - Building a customer-centric data culture
18:45 - Overcoming data challenges in modern business
24:10 - The power of data-driven decision making
30:00 - Leading with data: strategies for success
36:20 - From data collection to business impact
42:30 - Crafting effective data narratives
49:45 - Advanced data techniques at FanDuel
55:00 - Navigating the data landscape
1:01:30 - The evolution of data roles and responsibilities
1:08:00 - Empowering teams with data insights
1:14:30 - Final thoughts and conclusions on data strategy and governance
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