Presented by Mark Horseman 

In an era of disparate data silos spanning various business verticals, achieving robust data quality is paramount. This talk shows how making a cloud-based data warehouse the central point in a data quality program can overcome challenges. By leveraging a well-documented data model with solved data lineage, analysts gain a holistic view of the data landscape. Root cause analysis, initiated at the cloud source saves valuable time by eliminating the need to track down source systems or diagnose downstream data issues separately. Furthermore, proactive data checks and reporting mechanisms empower data stewards, custodians, and trustees to maintain high-quality data.