Many organizations invest heavily in data governance frameworks, policies, and tools — yet struggle to translate governance into real operational impact.
Governance often remains theoretical:
documents are written, roles are defined, and platforms are implemented, but the connection to the daily data workflow is missing. As a result, data ownership remains unclear, data quality issues persist, and business users continue to question whether they can trust the data they use.
In this webinar, DataVise introduces a lean and pragmatic approach to data governance. Instead of building large governance programs or complex organizational structures, lean governance focuses on what matters most: safeguarding the value of critical data (products) such as strategic KPIs, regulatory reporting, and key operational datasets.
We will show how governance can become operational by embedding it directly into the data platform through metadata, ownership, lineage, and automated data quality monitoring. And how this turns data governance from a cost driver to a value driver.
Using OpenMetadata, an open-source data governance platform, we demonstrate how organizations can move from governance frameworks to practical execution, connecting governance principles to the datasets, pipelines, and dashboards that drive business decisions.
During the session you will learn:
• Why many traditional data governance initiatives fail
• What Lean Data Governance means in practice
• How to focus governance on the data products that create the most business value
• How metadata, lineage, ownership, and data quality monitoring operationalize governance
• How OpenMetadata enables a cost-efficient and modern governance architecture
We will also walk through a live demo scenario showing how governance becomes visible and actionable across the data platform — from source systems to dashboards.
If you are responsible for data strategy, governance, analytics, or data platform architecture, this webinar will give you practical insights on how to implement governance that actually works.
