The Data Governance Podcast

A fascinating dive into AI's potential in data governance begins with an insider interview. The conversation reveals the journey of creating a custom AI tool designed to streamline communication and enhance productivity. Trust and context emerge as pivotal elements in developing effective AI that's tailored for complex governance needs. The episode further explores challenges in accessibility and the feedback loop from user trials. As perspectives on AI's role in email management shift, listeners gain valuable insights into the evolving landscape of data governance.

Discover the complex world of data ownership in data products. The discussion highlights the critical role of data product owners in navigating challenges. It delves into the importance of maintaining original data ownership to avoid conflicts. Gain insights into enhancing governance structures and ensuring accountability in data management.

Ben Clinch, Partner at Ortecha and an expert in data analytics, joins the discussion to dive into the essential concepts of data fabric and its implications for data governance. He clarifies the often-misunderstood distinctions between data fabric and data mesh, advocating for interoperability to break down data silos. Clinch emphasizes the importance of effective communication between IT and business units to align data practices with organizational goals. The conversation also touches on practical frameworks for improved data governance and future trends in data ownership.

Discover the crucial link between AI governance and data governance. The discussion highlights the necessity of high-quality data for successful AI initiatives. Industry experts emphasize data integrity, often overshadowed by ethical considerations. A unified governance approach is advocated to enhance compliance and improve user experience, revealing how intertwined these two fields truly are.

Welcome to The Data Governance Podcast with me, Nicola Askham.This week, I’m joined by Dmytro Lugovyi, Senior Director of Value Consulting at Collibra, and we’re tackling a question that haunts many data teams… How do you actually add value to your Data Governance initiative?To find out where you are on your Data Governance journey, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nicola-askham.scoreapp.com/⁠⁠⁠⁠

Welcome to The Data Governance Podcast with me, Nicola Askham.S11 Episode 1 is here and to kick off this season I discuss whether or not your data office needs a senior executive support.To find out where you are on your Data Governance journey, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nicola-askham.scoreapp.com/⁠⁠⁠⁠

Welcome to The Data Governance Podcast with me, Nicola Askham.It’s been an absolutely fantastic season and I can’t think of any better way to close it out than inviting the lovely Helen Mannion, Director of Prospore Leadership, on the podcast to talk about why behaviour change is so critical when implementing Data Governance.To find out where you are on your Data Governance journey, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nicola-askham.scoreapp.com/⁠⁠⁠⁠

Discover the art of setting practical data quality standards that truly matter. The discussion emphasizes the importance of identifying critical data and crafting tailored rules for quality assessment. Collaboration with data users is key to measuring attributes like accuracy and completeness. Tune in for insights on enhancing your organization’s data governance journey!

Welcome to The Data Governance Podcast with me, Nicola Askham.This week I share an exclusive interview with Andy Kirk, Data Visualisation Expert and Managing Director at Visualising Data Ltd.To find out where you are on your Data Governance journey, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://nicola-askham.scoreapp.com/⁠⁠⁠⁠

Is all data worthy of governance? This discussion dives into the limitations of universal data governance, advocating for a targeted approach. Focusing on critical data can lead to better resource allocation and enhanced organizational performance. It's a thought-provoking take on how to streamline data management and maximize efficiency.