The text highlights the importance of adopting an insights-driven approach in organizations, where data programs are expanding beyond traditional enterprise reporting to include actionable insights in business operations. To ensure high-quality data and meet business-critical functions' reliance on accurate data, organizations must establish service level agreements (SLAs) on datasets, dashboards, reports, and actionable insights provided by the Enterprise Data Warehouse (EDW). The concept of data pipeline observability is introduced, referring to the ability to track, monitor, and alert on the status of data pipelines and data quality. This enables teams to identify issues in the pipeline, fine-tune, and redesign queries or Directed Acyclic Graphs (DAGs) to ensure continuous integrity and reduce downtime. The text emphasizes the need for a comprehensive observability framework that monitors each step in the pipeline, covering all dimensions of data quality, such as freshness, volume, lineage, accuracy, and schema.