Organizations using tools like Databricks or Snowflake face three main issues: Manual Querying: Each time a user wants to retrieve "as-of" data for a dashboard or KPI, they must manually input date parameters across multiple queries. Lack of Lineage Awareness: In chained data pipelines, a rollback of one table doesn't automatically cascade, creating inconsistencies. Heavy workload on Data Engineers: Every as-of report demands technical skill, slowing down business responsiveness and increasing operational costs.