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Data Hurdles
Michael Burke and Chris Detzel
52 episodes
1 week ago
Data Hurdles is a podcast that brings the stories of data professionals to life, showcasing the challenges, triumphs, and insights from those shaping the future of data. Hosted by Michael Burke and Chris Detzel, this podcast dives into the real-world experiences of data experts as they navigate topics like data quality, security, AI, data literacy, and machine learning. Each episode features guest data professionals who share their journeys, lessons learned, and the impact of data on industries, technology, and society. From overcoming obstacles in data pipelines to implementing groundbreaking AI solutions, Data Hurdles highlights the human side of data and the stories behind the innovations that are transforming the world. Join us to hear firsthand accounts of how data professionals are solving complex problems and driving the future of technology.
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Technology
Business
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All content for Data Hurdles is the property of Michael Burke and Chris Detzel and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Data Hurdles is a podcast that brings the stories of data professionals to life, showcasing the challenges, triumphs, and insights from those shaping the future of data. Hosted by Michael Burke and Chris Detzel, this podcast dives into the real-world experiences of data experts as they navigate topics like data quality, security, AI, data literacy, and machine learning. Each episode features guest data professionals who share their journeys, lessons learned, and the impact of data on industries, technology, and society. From overcoming obstacles in data pipelines to implementing groundbreaking AI solutions, Data Hurdles highlights the human side of data and the stories behind the innovations that are transforming the world. Join us to hear firsthand accounts of how data professionals are solving complex problems and driving the future of technology.
Show more...
Technology
Business
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Challenging Data Management Norms: A Conversation with Malcolm Hawker, Chief Data Officer at Profisee
Data Hurdles
46 minutes
1 year ago
Challenging Data Management Norms: A Conversation with Malcolm Hawker, Chief Data Officer at Profisee

In this insightful episode of Data Hurdles, hosts Chris Detzel and Michael Burke welcome Malcolm Hawker, Chief Data Officer at Profisee, for an in-depth discussion on the evolving landscape of data management and the role of Chief Data Officers (CDOs) in today's organizations.

The conversation kicks off with Malcolm sharing his journey from product management to becoming a prominent figure in the data management space. He provides valuable insights into his experiences at Dun & Bradstreet and as a Gartner analyst, which have shaped his perspectives on data governance and strategy.

A significant portion of the episode is dedicated to Malcolm's contrarian view on the data mesh architecture. He articulates why he favors the data fabric approach, challenging the underlying assumptions of data mesh and discussing the practical limitations of fully decentralized data management. This leads to a broader discussion on the importance of balancing domain autonomy with cross-functional data needs in organizations.

The conversation then shifts to the impact of AI and machine learning on data governance. Malcolm shares his optimistic view on how AI could potentially solve complex data management challenges, particularly in automating governance processes and bridging the gap between structured and unstructured data.

Throughout the episode, Malcolm emphasizes the need for CDOs to focus on delivering tangible value to their organizations. He criticizes the overreliance on data maturity assessments and lengthy frameworks, instead advocating for a more practical, customer-centric approach to data management. The discussion touches on the importance of quantifying the value of data initiatives and improving communication with business stakeholders.

The hosts and Malcolm also explore emerging trends that CDOs should be aware of, including the integration of product management principles into data leadership roles, the growing importance of sustainability in data management, and the need to change the narrative around data quality from a burden to an opportunity.

Towards the end, the conversation turns to the future of the CDO role. Malcolm expresses optimism about the long-term prospects for data leadership, while acknowledging short-term challenges. He highlights the emergence of a new generation of CDOs who are willing to question the status quo and take innovative approaches to data management.

Throughout the episode, Malcolm's passion for data management and his commitment to driving change in the industry shine through. His candid insights and provocative ideas make for a compelling and thought-provoking discussion that challenges listeners to rethink traditional approaches to data leadership and governance.

This Data Hurdles episode offers valuable insights for current and aspiring CDOs, data professionals, and business leaders interested in leveraging data as a strategic asset in their organizations.

Data Hurdles
Data Hurdles is a podcast that brings the stories of data professionals to life, showcasing the challenges, triumphs, and insights from those shaping the future of data. Hosted by Michael Burke and Chris Detzel, this podcast dives into the real-world experiences of data experts as they navigate topics like data quality, security, AI, data literacy, and machine learning. Each episode features guest data professionals who share their journeys, lessons learned, and the impact of data on industries, technology, and society. From overcoming obstacles in data pipelines to implementing groundbreaking AI solutions, Data Hurdles highlights the human side of data and the stories behind the innovations that are transforming the world. Join us to hear firsthand accounts of how data professionals are solving complex problems and driving the future of technology.