Data integrity issues cost organizations $15 million annually, and $3.1 trillion overall is wasted finding and fixing data issues each year. Stop these data issues in their tracks — with an automated, integrated process that covers your complete data landscape. Watch this session for a high-level look at how to automatically test the complete the data lifecycle from end to end. We’ll walk you through a real-world scenario, from health care data to Salesforce contacts, through Snowflake migration and transformation, and into Tableau reporting.