Michael Simone

D&A leaders must develop DataOps as an essential practice to redefine their data management operations. This involves establishing business value before pursuing significant data engineering initiatives, and preventing duplicated efforts undertaken by different teams in managing the common metadata, security and observability of information assets within the data platforms.

DataGovOps is an emerging data management approach for operationalizing data governance. Building on DataOps principles, it embeds continuous, automated controls, such as data quality checks, metadata updates, policy enforcement and data contract validation into data operations. This ensures governance is consistent, traceable and repeatable, reducing risk, strengthening compliance and balancing agility with control to improve confidence and trust in data usage.

This session will explore the challenges faced by data management leaders and offer actionable recommendations to address them. By understanding and overcoming these obstacles, leaders can optimize their data management strategies and drive more informed decision making.