A mid-size transportation company struggled with scalability, real-time analytics, and rising costs while managing fleet data on Hadoop. By migrating to Azure Synapse and Databricks Delta Lake, they unlocked real-time fleet optimization, predictive maintenance, and cost-efficient analytics. With advanced ML models, fuel costs dropped by 15%, vehicle downtime by 30%, and operational expenses were significantly reduced.
This case study reveals how they seamlessly transitioned to a modern cloud-based data platform, improving driver safety, demand forecasting, and executive insights.
Download now to explore their migration roadmap and key takeaways!
