Faced with the limitations of a legacy, on-prem data stack and scalability bottlenecks in MicroStrategy, Saddle Creek Logistics Services needed a modern solution to handle massive data volumes and accelerate insight delivery. By migrating to a cloud-native architecture powered by Sigma and Databricks, the team achieved significant performance gains and operational efficiency. In this session, Saddle Creek will walk through how they leveraged Databricks’ cloud-native processing engine alongside a unified governance layer through Unity Catalog to streamline and secure downstream analytics in Sigma. Learn how embedded dashboards and near real-time reporting—cutting latency from 9 minutes to just 3 seconds—have empowered data-driven collaboration with external partners and driven a major effort to consolidate over 30,000 reports and objects to under 1,000.