Nicola Askham, accidental data governance expert, discusses practical steps for implementing data governance. Topics include benefits of data governance, pitfalls to avoid, securing executive support, engaging stakeholders, overcoming roadblocks, navigating shadow IT, AI integration, and challenges faced by organizations in data governance implementation.

Nicola Askham, the Data Governance Coach, shares her expertise on cultivating a common data language within organizations. She emphasizes the importance of data glossaries and catalogs to eliminate miscommunication, ensuring teams collaborate effectively. The conversation highlights strategies for fostering data literacy, enhancing governance practices, and improving data sharing. Nicola's actionable insights promise to strengthen data culture, making data management more reliable and decision-making more informed.

Nicola Askham, a data governance coach, shares her insights on transforming data governance from theory to practice. She discusses the importance of data literacy and culture in successful implementation. Nicola emphasizes that data governance is crucial for AI readiness and offers practical steps for organizations to start small, even using just spreadsheets. The conversation also touches on the evolving terminology in data governance and the vital role of networking among professionals to foster collaboration and innovation.

Join Nicola Askham, Data Governance Coach, as she discusses the vital role of data governance in AI readiness, the key principles for successful implementation, practical strategies for integrating data governance, and the evolution towards holistic data governance. Discover how generative AI can enhance data quality processes and make effective data governance a reality.

Data governance experts Nicola Askham and Kinda El Maarry, PhD, along with Jay Como, discuss the importance of data governance in a data mesh environment. They explore the balance between centralization and decentralization, the significance of data ownership, and the blending of technical and non-technical skills. The panel also delves into the potential of generative AI in data governance and the future implications.