Data River Deep Dive

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In this episode, we sit down with Martin Treder to unpack the real-world evolution of the Chief Data Officer role. From its misunderstood beginnings to its growing influence in business strategy. Drawing on decades of experience across logistics and healthcare, Martin shares what it truly means to treat data as an asset, why data culture is still the toughest nut to crack and how CDOs are often tasked with much more than just analytics. We explore his transition from operational roles into enterprise data leadership, the critical role of SAP ecosystems, and ifthe CDO might be closer to a modern COO than we think. Expect sharp insights, honest reflections and a fresh take on what CDOs really do and don’t do.

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In this second part of our conversation with Abhishek Prasad, we shift the focus from governance models to the often-overlooked factor that determines AI success or failure: data quality. We explore how poor-quality data can silently derail even the most promising AI initiatives, leading to bad predictions, missed opportunities and costly compliance risks. Abhishek shares real-world examples, actionable best practices and the key metrics every organization should track to keep their data clean, consistent and AI-ready. Abhishek walks us through the most common pitfalls in AI projects, and why Data & AI literacy thinking are often missing from the equation. We also challenge the idea that AI is always helpful, asking whether it’s a blessing or a curse for data quality initiatives, depending on how it’s applied. This episode is both a practical guide and a strategic reflection on how to embed data quality into AI efforts without overwhelming teams and why leaders must stop overlooking this foundational layer if they want to build anything that lasts. If you're investing in AI or already scaling it, this episode is your wake-up call to fix the foundations first.

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In this episode of Data River Deep Dive, we are joined by Abhishek Prasad, an experienced data strategist and advisor, to explore one of the most fundamental - and often misunderstood choices in enterprise data governance: federated vs. central models. Drawing from real-world experience across industries, Abhishek shares insights into how organizational structure, regulatory complexity and cultural factors shape governance decisions. We discuss the strengths and pitfalls of each model, what makes them succeed or fail in global environments and how companies can align governance strategies with both operational needs and long-term goals. Join us as we unpack what it really takes to implement scalable, effective data governance, especially when coordination spans continents, business units and leadership priorities.

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In this episode of Data River Deep Dive, we are joined by Redwan Hasan and Hippolyte Lefebvre, both PhD candidates and research associates at HEC Lausanne and funded by the Competence Center Corporate Data Quality. Their research focuses on data governance, data products, and how organizations can scale analytics while maintaining control and compliance. During our conversation, Redwan and Hippolyte share what motivated them to pursue a PhD in Data Management, the key challenges they’ve encountered in their research, and the real-world implications of their work. We explore how data products are transforming governance practices, why organizations struggle to implement sustainable governance models, and what the future of data-driven organizations might look like. Join us for a fascinating discussion on the intersection of academic research and industry application, packed with insights on the evolving role of data governance and the impact of data products in modern organizations. If you enjoyed this episode, don’t forget to like, follow, and share your thoughts in the comments. Redwan, Hippolyte, and the team would love to hear your perspectives and continue the conversation!

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In this episode of Data River Deep Dive, we are joined by Redwan Hasan and Hippolyte Lefebvre, both PhD candidates and research associates at HEC Lausanne and funded by the Competence Center Corporate Data Quality. Their research focuses on data governance, data products, and how organizations can scale analytics while maintaining control and compliance. During our conversation, Redwan and Hippolyte share what motivated them to pursue a PhD in Data Management, the key challenges they’ve encountered in their research, and the real-world implications of their work. We explore how data products are transforming governance practices, why organizations struggle to implement sustainable governance models, and what the future of data-driven organizations might look like. Join us for a fascinating discussion on the intersection of academic research and industry application, packed with insights on the evolving role of data governance and the impact of data products in modern organizations. If you enjoyed this episode, don’t forget to like, follow, and share your thoughts in the comments. Redwan, Hippolyte, and the team would love to hear your perspectives and continue the conversation!

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In this episode of Data River Deep Dive, we are joined by Natalia Kotova, Project Director at ThinkLinkers, and a driving force behind some of the most impactful events in the Data, Analytics, and AI space. Natalia brings over 7 years of experience connecting people, data, and technology, fostering collaboration and innovation across the data community. During our conversation, Natalia shares her insights on what makes data-focused events truly engaging, the importance of storytelling in data communication, and how building communities around data can lead to stronger connections and better outcomes. With her unique perspective, Natalia highlights the human side of data and explains why blending technical expertise with personal connection is essential for success. Join us for a fascinating discussion packed with practical advice, relatable stories, and a fresh perspective on the role of storytelling and community-building in the world of Data & Analytics. If you enjoyed this episode, don’t forget to like, follow, and share your thoughts in the comments. Natalia and the team would love to hear your feedback and engage with your ideas!

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In this episode of Data River Deep Dive, we are joined by Natalia Kotova, Project Director at ThinkLinkers, and a driving force behind some of the most impactful events in the Data, Analytics, and AI space. Natalia brings over 7 years of experience connecting people, data, and technology, fostering collaboration and innovation across the data community. During our conversation, Natalia shares her insights on what makes data-focused events truly engaging, the importance of storytelling in data communication, and how building communities around data can lead to stronger connections and better outcomes. With her unique perspective, Natalia highlights the human side of data and explains why blending technical expertise with personal connection is essential for success. Join us for a fascinating discussion packed with practical advice, relatable stories, and a fresh perspective on the role of storytelling and community-building in the world of Data & Analytics. If you enjoyed this episode, don’t forget to like, follow, and share your thoughts in the comments. Natalia and the team would love to hear your feedback and engage with your ideas!

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In this debut episode of Data River Deep Dive, we’re joined by Thomas Bode, Chief Digital Transformation Officer at MET Group, as he shares his unique approach to data-driven digital transformation. Using a football analogy, Thomas reveals his "starting 11" lineup for driving successful data initiatives, spotlighting essential roles as key players on the field. We dive into topics like aligning Data & Analytics with C-level strategy, overcoming common challenges in digital transformation, and the importance of balancing process, people, data, and technology. Thomas also discusses how data culture and governance can be pivotal in achieving impactful, data-driven change. Join us for insights, practical advice, and a fresh perspective on what it takes to build a winning team for data driven digital transformation!

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In this debut episode of Data River Deep Dive, we’re joined by Thomas Bode, Chief Digital Transformation Officer at MET Group, as he shares his unique approach to data-driven digital transformation. Using a football analogy, Thomas reveals his "starting 11" lineup for driving successful data initiatives, spotlighting essential roles as key players on the field. We dive into topics like aligning Data & Analytics with C-level strategy, overcoming common challenges in digital transformation, and the importance of balancing process, people, data, and technology. Thomas also discusses how data culture and governance can be pivotal in achieving impactful, data-driven change. Join us for insights, practical advice, and a fresh perspective on what it takes to build a winning team for data driven digital transformation!