))
Decoding Data Quality: Lessons from the 'Data Hurdles' with Matthew Cox
Manage episode 367617986 series 3451197
Contenu fourni par Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Michael Burke and Chris Detzel, Michael Burke, and Chris Detzel ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
In the latest episode of the 'Data Hurdles' podcast, hosts Chris Detzel and Michael Burke sat down with Matthew Cox, a seasoned data industry professional, for an insightful discussion on the crucial role of data quality in business operations. Their conversation touched upon various facets of data quality, its importance, and how its management impacts businesses of all sizes.
Decoding Data Quality: A Business Perspective
Navigating the Data Quality Landscape: Lessons from History
Improving Data Quality in Small Businesses: A Strategic Approach
Data Quality and AI: The Future Trend
The insightful conversation underscored the significance of a structured, step-by-step approach, the value of external expertise, and the importance of celebrating incremental improvements in the realm of data quality management. As the volume and complexity of data continue to surge, organizations must adapt their strategies to ensure data integrity and quality, thus unlocking the full potential of their data.
The insights shared in the 'Data Hurdles' podcast offer a unique perspective on data quality management, emphasizing its importance for businesses in an increasingly data-driven world. Future episodes promise to delve deeper into these discussions, helping organizations navigate their data hurdles with greater confidence.
40 episodes
Partager
