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[Composed using NotebookLM]
In this episode we argue that traditional data governance methods are struggling to keep pace with increasingly complex data ecosystems. It introduces observability, a concept from systems engineering, as a solution to enhance data governance. Observability offers real-time visibility into data health, including its lineage, quality, and usage, enabling proactive management rather than reactive measures. This shift promises to improve decision-making, strengthen compliance, increase efficiency, and foster trust in data. By implementing observability tools and strategies, organizations can transform data governance into a strategic asset that drives innovation and competitive advantage.
[Composed using NotebookLM]
In this episode we argue that traditional data governance methods are struggling to keep pace with increasingly complex data ecosystems. It introduces observability, a concept from systems engineering, as a solution to enhance data governance. Observability offers real-time visibility into data health, including its lineage, quality, and usage, enabling proactive management rather than reactive measures. This shift promises to improve decision-making, strengthen compliance, increase efficiency, and foster trust in data. By implementing observability tools and strategies, organizations can transform data governance into a strategic asset that drives innovation and competitive advantage.